Key Takeaways
- • Mintive says its platform powers 2.5 million agent calls daily across more than 50 paying enterprise customers, and has covered over 200 million calls in seven months, according to a company announcement via Business Wire.
- • The company raised $7 million in a new round led by Cowboy Ventures, bringing total funding to $11 million, with participation from Coatue, Operator Collective, Burst Capital, Maven Ventures and Hustle Fund.
- • Named customers include Ro (healthcare), Modern Treasury (payments infrastructure), the University of Michigan and Coursera (education), and Apax (private equity).
- • Mintive positions agent identity, permissions and tracing as a security and governance requirement as enterprises deploy AI agents at scale.
Summary
Mintive, which describes itself as builder of infrastructure for the agentic enterprise, announced that its platform powers 2.5 million agent calls daily across more than 50 paying enterprise customers, according to a company release distributed by Business Wire. The company said it has processed more than 200 million calls in seven months. Named customers span healthcare (Ro), payments infrastructure (Modern Treasury), education (the University of Michigan and Coursera) and private equity (Apax).
Mintive also disclosed $7 million in new funding led by Cowboy Ventures, bringing total funding to $11 million. Other investors include Coatue, Operator Collective, Burst Capital, Maven Ventures and Hustle Fund, as well as individual backers including Okta co-founder Frederic Kerrest, WorkOS founder and CEO Michael Grinich, former Adobe Chief Product Officer Scott Belsky, Discovery Loop co-founder Jeff Dean and OpenAI co-founder Andrej Karpathy. The company was founded by Jiquan Ngiam, who is CEO and was previously a founding engineer at Coursera and a senior staff software engineer at Google Brain, and Vijay Vasudevan, who co-created TensorFlow at Google.
The company's pitch centers on governance of AI agents. Citing Gartner, the release states that by the end of 2026, 40 percent of enterprise applications will feature task-specific AI agents, up from less than 5 percent a year earlier, and that by 2028 the average global Fortune 500 enterprise will have over 150,000 agents, up from fewer than 15 in 2025. Mintive treats each agent as an identity with access limited to its required work. Its MCP Gateway governs tool access, its LLM Gateway governs AI model calls, and Mint Guard screens calls for prompt injection, exposed secrets and personal data. The platform is SOC 2 Type II audited, and each tool call can be traced to the initiating person, acting agent, server and model.
Aileen Lee, founder and managing partner at Cowboy Ventures, said governance, IT and security oversight, identity management and security are the main gating factors to enterprise AI adoption. Christian Burrows, Head of Security at Stability AI, said the company's product lets his firm give employees access to agent tools while keeping security teams in control. Mintive also offers Coworker agents that operate in Slack or Teams. The company cited Modern Treasury's use of a bank operations agent that cuts 30 minutes from simpler cases and up to four hours from complex ones, and University of Michigan's use of Mintive as an enterprise MCP gateway.
Mintive also disclosed $7 million in new funding led by Cowboy Ventures, bringing total funding to $11 million. Other investors include Coatue, Operator Collective, Burst Capital, Maven Ventures and Hustle Fund, as well as individual backers including Okta co-founder Frederic Kerrest, WorkOS founder and CEO Michael Grinich, former Adobe Chief Product Officer Scott Belsky, Discovery Loop co-founder Jeff Dean and OpenAI co-founder Andrej Karpathy. The company was founded by Jiquan Ngiam, who is CEO and was previously a founding engineer at Coursera and a senior staff software engineer at Google Brain, and Vijay Vasudevan, who co-created TensorFlow at Google.
The company's pitch centers on governance of AI agents. Citing Gartner, the release states that by the end of 2026, 40 percent of enterprise applications will feature task-specific AI agents, up from less than 5 percent a year earlier, and that by 2028 the average global Fortune 500 enterprise will have over 150,000 agents, up from fewer than 15 in 2025. Mintive treats each agent as an identity with access limited to its required work. Its MCP Gateway governs tool access, its LLM Gateway governs AI model calls, and Mint Guard screens calls for prompt injection, exposed secrets and personal data. The platform is SOC 2 Type II audited, and each tool call can be traced to the initiating person, acting agent, server and model.
Aileen Lee, founder and managing partner at Cowboy Ventures, said governance, IT and security oversight, identity management and security are the main gating factors to enterprise AI adoption. Christian Burrows, Head of Security at Stability AI, said the company's product lets his firm give employees access to agent tools while keeping security teams in control. Mintive also offers Coworker agents that operate in Slack or Teams. The company cited Modern Treasury's use of a bank operations agent that cuts 30 minutes from simpler cases and up to four hours from complex ones, and University of Michigan's use of Mintive as an enterprise MCP gateway.
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