
Mintive
Mintive provides infrastructure for the agentic enterprise, giving each AI agent its own identity, least-privilege permissions, and a complete audit trail. The platform includes an MCP gateway for tool governance, an LLM gateway for model control, and agent monitoring that traces every action back to a person, agent, server, and model. More than 50 customers run 2.5 million agent calls per day through the platform.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Enterprise Software
- Software Only
Funding
Raised to date
$11MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
$7M across 1 disclosed round



AKBC+5$7M · Seed
Announced Oct 2026 · from article date
Disclosed cumulative: $7M
Reported total $11M
Incomplete round history. $4M of the $11M reported total isn’t matched to a known round.
Founders
Founder details are not available yet.
Product
Problem
As enterprises deploy AI agents into production, these agents often inherit broad access to company systems through borrowed human credentials, creating significant security and governance risks. There is typically no clear record of which agent took which action, making it difficult for IT and security teams to oversee, control, and audit agent behavior across the organization.
Solution
Mintive builds infrastructure for the agentic enterprise, treating each AI agent like an employee with its own identity, least-privilege permissions, and a complete audit trail. The platform provides an MCP gateway to govern tool access, an LLM gateway to control which models agents can use, and agent identities with scoped, revocable credentials. Mintive also offers agent monitoring to trace every action back to a person, agent, server, and model, plus coworker agents that operate in Slack and Teams with long-term memory. The platform is model-agnostic, applying consistent governance across Claude, ChatGPT, Copilot, Cursor, and custom-built agents.
Target Audience
Primary customers are IT and security teams at enterprises deploying AI agents in production, including companies like Ro, Modern Treasury, Braze, Coursera, the University of Michigan, Apax, and Stability AI.
Features
- MCP Gateway: Centralized management for all MCP servers with approved server lists, role-based bundles, and tool-level switches
- LLM Gateway: Routes model calls through approved providers with per-team budgets and the ability to switch between closed and open models
- Agent Identities: Each agent receives its own scoped, revocable credentials with least-privilege access, revocable without affecting human users
- Agent Monitor: Complete audit trail tracing every tool call to a person, agent, server, and model, with spend tracking and tamper-proof logs exportable to SIEM
- Mint Guard: Screens calls for prompt injection, exposed secrets, and personal data before they reach company systems
- Coworker Agents: AI teammates that work in Slack and Teams with long-term memory and proactive task execution, governed by the same identity and permission controls
- Enterprise security: SOC 2 Type II audited, HIPAA documentation available, with OAuth 2.0, SAML, SSO, and EU/US data residency options