Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->
Contents
FinOracleAI — Market ViewStrategic Growth and Geographic FocusFinOracleAI — Market ViewBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewA Data-First Strategy Sets Onfire ApartResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewNavigating Privacy Concerns with TransparencyA Data-First Strategy Sets Onfire ApartResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewEarly Success and Client PortfolioNavigating Privacy Concerns with TransparencyA Data-First Strategy Sets Onfire ApartResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewEarly Success and Client PortfolioNavigating Privacy Concerns with TransparencyA Data-First Strategy Sets Onfire ApartResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market View$20 Million Raised as Onfire Emerges from Stealth ModeEarly Success and Client PortfolioNavigating Privacy Concerns with TransparencyA Data-First Strategy Sets Onfire ApartResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market View$20 Million Raised as Onfire Emerges from Stealth ModeEarly Success and Client PortfolioNavigating Privacy Concerns with TransparencyA Data-First Strategy Sets Onfire ApartResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewHarnessing AI to Track Developer Conversations and Buying Intent$20 Million Raised as Onfire Emerges from Stealth ModeEarly Success and Client PortfolioNavigating Privacy Concerns with TransparencyA Data-First Strategy Sets Onfire ApartResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market ViewIsraeli Startup Onfire Secures $20M to Decode Developer Buying SignalsHarnessing AI to Track Developer Conversations and Buying Intent$20 Million Raised as Onfire Emerges from Stealth ModeEarly Success and Client PortfolioNavigating Privacy Concerns with TransparencyA Data-First Strategy Sets Onfire ApartResponding to Evolving Enterprise Sales ChallengesBuilding a Compounding Data Advantage Against CRM GiantsStrategic Growth and Geographic FocusFinOracleAI — Market View
FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Given the founders’ backgrounds in intelligence, Onfire’s practice of mining public data to identify commenters’ employers has raised privacy questions. However, the company emphasizes the mutual benefits of its approach. Grove Ventures’ Lotan Levkowitz notes, “Our customers are happy, and by the way, even their prospects are happy, because people pitch them with the right things at the right time.” !-- wp:paragraph -->A Data-First Strategy Sets Onfire Apart
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Since launching its beta twelve months ago, Onfire estimates it has facilitated over $50 million in closed deals for its clients. Early adopters include ActiveFence, Aiven, Cyera, Port, and Spectro Cloud — companies specializing in data, cybersecurity, FinOps, and observability solutions aimed at technical buyers. !-- wp:paragraph -->Navigating Privacy Concerns with Transparency
Given the founders’ backgrounds in intelligence, Onfire’s practice of mining public data to identify commenters’ employers has raised privacy questions. However, the company emphasizes the mutual benefits of its approach. Grove Ventures’ Lotan Levkowitz notes, “Our customers are happy, and by the way, even their prospects are happy, because people pitch them with the right things at the right time.” !-- wp:paragraph -->A Data-First Strategy Sets Onfire Apart
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Onfire announced the close of a $20 million funding round, including a $14 million Series A co-led by Grove Ventures and TLV Partners. Additional investors include IN Venture, the venture arm of Japan’s Sumitomo Corporation, and LeumiTech77, an Israeli fund commemorating the nation’s 77th anniversary. !-- wp:paragraph --> The company’s leadership team comprises Tal Peretz (CEO), Shahar Shavit (CTO), and Nitzan Hada (CPO), all alumni of Israel Defense Forces’ Unit 8200 — an elite intelligence unit known for advanced AI and data capabilities. The founders apply their intelligence expertise to transform SaaS sales enablement. !-- wp:paragraph -->Early Success and Client Portfolio
Since launching its beta twelve months ago, Onfire estimates it has facilitated over $50 million in closed deals for its clients. Early adopters include ActiveFence, Aiven, Cyera, Port, and Spectro Cloud — companies specializing in data, cybersecurity, FinOps, and observability solutions aimed at technical buyers. !-- wp:paragraph -->Navigating Privacy Concerns with Transparency
Given the founders’ backgrounds in intelligence, Onfire’s practice of mining public data to identify commenters’ employers has raised privacy questions. However, the company emphasizes the mutual benefits of its approach. Grove Ventures’ Lotan Levkowitz notes, “Our customers are happy, and by the way, even their prospects are happy, because people pitch them with the right things at the right time.” !-- wp:paragraph -->A Data-First Strategy Sets Onfire Apart
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Onfire announced the close of a $20 million funding round, including a $14 million Series A co-led by Grove Ventures and TLV Partners. Additional investors include IN Venture, the venture arm of Japan’s Sumitomo Corporation, and LeumiTech77, an Israeli fund commemorating the nation’s 77th anniversary. !-- wp:paragraph --> The company’s leadership team comprises Tal Peretz (CEO), Shahar Shavit (CTO), and Nitzan Hada (CPO), all alumni of Israel Defense Forces’ Unit 8200 — an elite intelligence unit known for advanced AI and data capabilities. The founders apply their intelligence expertise to transform SaaS sales enablement. !-- wp:paragraph -->Early Success and Client Portfolio
Since launching its beta twelve months ago, Onfire estimates it has facilitated over $50 million in closed deals for its clients. Early adopters include ActiveFence, Aiven, Cyera, Port, and Spectro Cloud — companies specializing in data, cybersecurity, FinOps, and observability solutions aimed at technical buyers. !-- wp:paragraph -->Navigating Privacy Concerns with Transparency
Given the founders’ backgrounds in intelligence, Onfire’s practice of mining public data to identify commenters’ employers has raised privacy questions. However, the company emphasizes the mutual benefits of its approach. Grove Ventures’ Lotan Levkowitz notes, “Our customers are happy, and by the way, even their prospects are happy, because people pitch them with the right things at the right time.” !-- wp:paragraph -->A Data-First Strategy Sets Onfire Apart
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Onfire continuously monitors public developer forums to identify discussions about software tools. By leveraging artificial intelligence, the platform determines the companies commenters are affiliated with and pinpoints key decision-makers within those organizations. Additionally, it incorporates data on budget cycles to provide sales teams with precise timing and context for outreach efforts. !-- wp:paragraph --> This data-centric approach aims to empower B2B sales teams to engage prospects with relevant offers at optimal moments, enhancing conversion rates in a market where traditional product-led growth strategies face increasing challenges. !-- wp:paragraph -->$20 Million Raised as Onfire Emerges from Stealth Mode
Onfire announced the close of a $20 million funding round, including a $14 million Series A co-led by Grove Ventures and TLV Partners. Additional investors include IN Venture, the venture arm of Japan’s Sumitomo Corporation, and LeumiTech77, an Israeli fund commemorating the nation’s 77th anniversary. !-- wp:paragraph --> The company’s leadership team comprises Tal Peretz (CEO), Shahar Shavit (CTO), and Nitzan Hada (CPO), all alumni of Israel Defense Forces’ Unit 8200 — an elite intelligence unit known for advanced AI and data capabilities. The founders apply their intelligence expertise to transform SaaS sales enablement. !-- wp:paragraph -->Early Success and Client Portfolio
Since launching its beta twelve months ago, Onfire estimates it has facilitated over $50 million in closed deals for its clients. Early adopters include ActiveFence, Aiven, Cyera, Port, and Spectro Cloud — companies specializing in data, cybersecurity, FinOps, and observability solutions aimed at technical buyers. !-- wp:paragraph -->Navigating Privacy Concerns with Transparency
Given the founders’ backgrounds in intelligence, Onfire’s practice of mining public data to identify commenters’ employers has raised privacy questions. However, the company emphasizes the mutual benefits of its approach. Grove Ventures’ Lotan Levkowitz notes, “Our customers are happy, and by the way, even their prospects are happy, because people pitch them with the right things at the right time.” !-- wp:paragraph -->A Data-First Strategy Sets Onfire Apart
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Onfire continuously monitors public developer forums to identify discussions about software tools. By leveraging artificial intelligence, the platform determines the companies commenters are affiliated with and pinpoints key decision-makers within those organizations. Additionally, it incorporates data on budget cycles to provide sales teams with precise timing and context for outreach efforts. !-- wp:paragraph --> This data-centric approach aims to empower B2B sales teams to engage prospects with relevant offers at optimal moments, enhancing conversion rates in a market where traditional product-led growth strategies face increasing challenges. !-- wp:paragraph -->$20 Million Raised as Onfire Emerges from Stealth Mode
Onfire announced the close of a $20 million funding round, including a $14 million Series A co-led by Grove Ventures and TLV Partners. Additional investors include IN Venture, the venture arm of Japan’s Sumitomo Corporation, and LeumiTech77, an Israeli fund commemorating the nation’s 77th anniversary. !-- wp:paragraph --> The company’s leadership team comprises Tal Peretz (CEO), Shahar Shavit (CTO), and Nitzan Hada (CPO), all alumni of Israel Defense Forces’ Unit 8200 — an elite intelligence unit known for advanced AI and data capabilities. The founders apply their intelligence expertise to transform SaaS sales enablement. !-- wp:paragraph -->Early Success and Client Portfolio
Since launching its beta twelve months ago, Onfire estimates it has facilitated over $50 million in closed deals for its clients. Early adopters include ActiveFence, Aiven, Cyera, Port, and Spectro Cloud — companies specializing in data, cybersecurity, FinOps, and observability solutions aimed at technical buyers. !-- wp:paragraph -->Navigating Privacy Concerns with Transparency
Given the founders’ backgrounds in intelligence, Onfire’s practice of mining public data to identify commenters’ employers has raised privacy questions. However, the company emphasizes the mutual benefits of its approach. Grove Ventures’ Lotan Levkowitz notes, “Our customers are happy, and by the way, even their prospects are happy, because people pitch them with the right things at the right time.” !-- wp:paragraph -->A Data-First Strategy Sets Onfire Apart
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Developers notoriously dislike intrusive marketing, yet they rely heavily on community-driven platforms like Hacker News, Reddit, and Stack Overflow to exchange insights on development tools. Recognizing this dynamic, Israeli startup Onfire has built an AI-powered platform designed to capture and interpret these organic buying signals to aid software vendors in targeting their outreach more effectively. !-- wp:paragraph -->Harnessing AI to Track Developer Conversations and Buying Intent
Onfire continuously monitors public developer forums to identify discussions about software tools. By leveraging artificial intelligence, the platform determines the companies commenters are affiliated with and pinpoints key decision-makers within those organizations. Additionally, it incorporates data on budget cycles to provide sales teams with precise timing and context for outreach efforts. !-- wp:paragraph --> This data-centric approach aims to empower B2B sales teams to engage prospects with relevant offers at optimal moments, enhancing conversion rates in a market where traditional product-led growth strategies face increasing challenges. !-- wp:paragraph -->$20 Million Raised as Onfire Emerges from Stealth Mode
Onfire announced the close of a $20 million funding round, including a $14 million Series A co-led by Grove Ventures and TLV Partners. Additional investors include IN Venture, the venture arm of Japan’s Sumitomo Corporation, and LeumiTech77, an Israeli fund commemorating the nation’s 77th anniversary. !-- wp:paragraph --> The company’s leadership team comprises Tal Peretz (CEO), Shahar Shavit (CTO), and Nitzan Hada (CPO), all alumni of Israel Defense Forces’ Unit 8200 — an elite intelligence unit known for advanced AI and data capabilities. The founders apply their intelligence expertise to transform SaaS sales enablement. !-- wp:paragraph -->Early Success and Client Portfolio
Since launching its beta twelve months ago, Onfire estimates it has facilitated over $50 million in closed deals for its clients. Early adopters include ActiveFence, Aiven, Cyera, Port, and Spectro Cloud — companies specializing in data, cybersecurity, FinOps, and observability solutions aimed at technical buyers. !-- wp:paragraph -->Navigating Privacy Concerns with Transparency
Given the founders’ backgrounds in intelligence, Onfire’s practice of mining public data to identify commenters’ employers has raised privacy questions. However, the company emphasizes the mutual benefits of its approach. Grove Ventures’ Lotan Levkowitz notes, “Our customers are happy, and by the way, even their prospects are happy, because people pitch them with the right things at the right time.” !-- wp:paragraph -->A Data-First Strategy Sets Onfire Apart
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
Israeli Startup Onfire Secures $20M to Decode Developer Buying Signals
Developers notoriously dislike intrusive marketing, yet they rely heavily on community-driven platforms like Hacker News, Reddit, and Stack Overflow to exchange insights on development tools. Recognizing this dynamic, Israeli startup Onfire has built an AI-powered platform designed to capture and interpret these organic buying signals to aid software vendors in targeting their outreach more effectively. !-- wp:paragraph -->Harnessing AI to Track Developer Conversations and Buying Intent
Onfire continuously monitors public developer forums to identify discussions about software tools. By leveraging artificial intelligence, the platform determines the companies commenters are affiliated with and pinpoints key decision-makers within those organizations. Additionally, it incorporates data on budget cycles to provide sales teams with precise timing and context for outreach efforts. !-- wp:paragraph --> This data-centric approach aims to empower B2B sales teams to engage prospects with relevant offers at optimal moments, enhancing conversion rates in a market where traditional product-led growth strategies face increasing challenges. !-- wp:paragraph -->$20 Million Raised as Onfire Emerges from Stealth Mode
Onfire announced the close of a $20 million funding round, including a $14 million Series A co-led by Grove Ventures and TLV Partners. Additional investors include IN Venture, the venture arm of Japan’s Sumitomo Corporation, and LeumiTech77, an Israeli fund commemorating the nation’s 77th anniversary. !-- wp:paragraph --> The company’s leadership team comprises Tal Peretz (CEO), Shahar Shavit (CTO), and Nitzan Hada (CPO), all alumni of Israel Defense Forces’ Unit 8200 — an elite intelligence unit known for advanced AI and data capabilities. The founders apply their intelligence expertise to transform SaaS sales enablement. !-- wp:paragraph -->Early Success and Client Portfolio
Since launching its beta twelve months ago, Onfire estimates it has facilitated over $50 million in closed deals for its clients. Early adopters include ActiveFence, Aiven, Cyera, Port, and Spectro Cloud — companies specializing in data, cybersecurity, FinOps, and observability solutions aimed at technical buyers. !-- wp:paragraph -->Navigating Privacy Concerns with Transparency
Given the founders’ backgrounds in intelligence, Onfire’s practice of mining public data to identify commenters’ employers has raised privacy questions. However, the company emphasizes the mutual benefits of its approach. Grove Ventures’ Lotan Levkowitz notes, “Our customers are happy, and by the way, even their prospects are happy, because people pitch them with the right things at the right time.” !-- wp:paragraph -->A Data-First Strategy Sets Onfire Apart
Onfire distinguishes itself by prioritizing data acquisition before layering AI capabilities, enabling more personalized and contextually relevant outreach. CEO Tal Peretz explains, “What set us apart is we started as a data-first company, and then we added the AI engine on top of that.” !-- wp:paragraph --> This verticalized, data-centric approach addresses a critical gap identified by Grove Ventures: software infrastructure companies have yet to fully harness AI in their go-to-market strategies. Levkowitz highlights that “the missing piece was the data,” which Onfire now provides. !-- wp:paragraph -->Responding to Evolving Enterprise Sales Challenges
In discussions with over 275 IT revenue leaders, Onfire’s founders learned that despite AI adoption, the majority of revenue still derives from direct sales efforts. Buyers such as CISOs, CTOs, and engineering teams face an overload of outreach amplified by AI-enabled mass marketing, making context-driven engagement more critical than ever. !-- wp:paragraph --> Onfire’s platform dynamically maps buying signals to customer context, tailoring approaches based on sector and solution type — whether selling data infrastructure to large enterprises or cybersecurity tools to specialized teams. !-- wp:paragraph -->Building a Compounding Data Advantage Against CRM Giants
With each customer interaction, Onfire’s data set improves, creating a compounding effect that strengthens its competitive moat against CRM incumbents like Salesforce and HubSpot. Levkowitz asserts, “This verticalized approach enables them to have a very unique value proposition for go-to-market teams of software infrastructure companies.” !-- wp:paragraph -->Strategic Growth and Geographic Focus
Onfire plans to deploy its new capital towards expanding its AI, research and development, and sales teams. While its core AI technology is developed in Israel, where 60% of staff are located, the company’s go-to-market operations are based in New York, targeting the U.S. as a primary market. !-- wp:paragraph -->FinOracleAI — Market View
Onfire’s approach of combining AI with a data-first strategy to capture developer buying signals addresses a critical gap in enterprise sales enablement. By focusing on contextualized, timely outreach, it offers software vendors a refined tool to engage notoriously hard-to-reach technical buyers. !-- wp:paragraph -->- Opportunities: Expansion in the U.S. market, leveraging proprietary data to outpace CRM competitors, growing demand for AI-enhanced sales intelligence.
- Risks: Privacy concerns related to data mining, potential pushback from developers wary of surveillance, competition from established CRM and AI sales tool providers.
Impact: Onfire’s targeted AI-driven platform has the potential to significantly improve B2B software sales effectiveness, representing a positive market development amid evolving enterprise buying behaviors.
