Key Takeaways
- • Alice (formerly ActiveFence) raised $140 million in a Series C round led by Apax Digital Funds, bringing total capital to $280 million, marking a transition from seed to growth-equity stage financing.
- • The funding round includes strategic investors Samsung and SentinelOne alongside returning backers Resolute Ventures, Grove Ventures, CRV, Highland Europe, Vintage Investments, Norwest Venture Partners, NFX, and Claltech; Apax Digital will join the board.
- • Alice operates a research lab of 150+ specialists and collaborates with eight of the ten leading AI labs, positioning the company as a critical infrastructure player in AI safety and security validation.
- • The company's core product focuses on pre-release model testing and runtime guardrails—not a fund or financial product—addressing the growing institutional demand for AI system stress-testing and safety verification.
- • No post-money valuation was disclosed; secondary reports citing an $800 million valuation lack corroboration from company statements or independent confirmation.
Summary
Alice, the New York and Tel Aviv-based AI trust, safety, and security company formerly known as ActiveFence, has closed a $140 million Series C round led by Apax Digital Funds. The financing brings the company's total capital raised to $280 million and represents a significant inflection point as the company transitions from early-stage to growth-equity positioning. Apax Digital, a growth investor focused on digital infrastructure and enterprise software, will take a board seat as part of the investment.
The round attracts a diversified investor base combining strategic technology players with established venture capital firms. Samsung and SentinelOne, both major players in cybersecurity and enterprise systems, participate alongside returning backers including Resolute Ventures, Grove Ventures, Cognizant Ventures (CRV), Highland Europe, Vintage Investments, Norwest Venture Partners, NFX, and Claltech. Phoenix Insurance and Maj Invest also joined as new participants, signaling institutional and international interest in AI safety infrastructure.
Alice's operational footprint underscores its positioning as a specialized player in AI system validation. The company operates a research laboratory with more than 150 specialists and maintains collaborative relationships with eight of the ten leading AI research labs globally. The company's core offering centers on pre-release model testing and runtime guardrails—infrastructure-level products designed to stress-test and verify AI systems before deployment. This focus distinguishes Alice from consumer-facing or financial product vendors, instead positioning it as critical infrastructure for institutional AI developers and deployers managing model safety and compliance.
The funding represents investor confidence in the expanding institutional demand for AI safety validation as large language models and generative AI systems proliferate across enterprises. Rather than a seed or early-stage round, this capital injection reflects growth-stage validation and market expansion opportunity in what remains an emerging but increasingly essential infrastructure segment.
The round attracts a diversified investor base combining strategic technology players with established venture capital firms. Samsung and SentinelOne, both major players in cybersecurity and enterprise systems, participate alongside returning backers including Resolute Ventures, Grove Ventures, Cognizant Ventures (CRV), Highland Europe, Vintage Investments, Norwest Venture Partners, NFX, and Claltech. Phoenix Insurance and Maj Invest also joined as new participants, signaling institutional and international interest in AI safety infrastructure.
Alice's operational footprint underscores its positioning as a specialized player in AI system validation. The company operates a research laboratory with more than 150 specialists and maintains collaborative relationships with eight of the ten leading AI research labs globally. The company's core offering centers on pre-release model testing and runtime guardrails—infrastructure-level products designed to stress-test and verify AI systems before deployment. This focus distinguishes Alice from consumer-facing or financial product vendors, instead positioning it as critical infrastructure for institutional AI developers and deployers managing model safety and compliance.
The funding represents investor confidence in the expanding institutional demand for AI safety validation as large language models and generative AI systems proliferate across enterprises. Rather than a seed or early-stage round, this capital injection reflects growth-stage validation and market expansion opportunity in what remains an emerging but increasingly essential infrastructure segment.
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