Cloud- and model-agnostic platform gives enterprises and growing businesses alike a single control layer to build, govern, and scale AI agents, without rebuilding their stack or betting on one vendor’s ecosystem.
Phinite, an AI agent infrastructure platform. today announced the general availability of its platform for managing AI agents in production. As companies of every size move from single AI tools to autonomous agents that execute real decisions across workflows, Phinite gives them the one thing most agent deployments are still missing: a governed, auditable, portable operating layer underneath them.
The problem: agents are multiplying faster than anyone can govern them
Enterprises and SMBs alike are standing up AI agents across sales, support, finance, and operations, often through several different frameworks and clouds at once. The result is familiar to almost every technical leader building with agents today: no shared registry of what is running, no consistent version control, no audit trail when an agent makes a decision that needs to be explained, and no way to reuse work across teams without starting over.
“Most companies don’t fail at building an agent. They fail at the second one, and the tenth one, when nobody can say who owns what’s running, which version is live, or what happened when something went wrong,” at Phinite. “We built Phinite to be the layer that makes agents accountable, not just capable.”
The platform: four primitives, one control plane
Phinite is built around four core capabilities:
- Agent Registry — a single source of identity, ownership, and version control for every agent in an organization, regardless of which framework or team built it.
- Lifecycle Manager — versioning, rollback, and multi-environment deployment, so agents move through Dev, UAT, and Production the way software does, not the way scripts do.
- Governance Engine — SOC 2 Type II-aligned controls, role-based access control, and full audit trails, built for industries where “we don’t know why the agent did that” is not an acceptable answer.
- Cloud- and model-agnostic deployment — support for AWS, Azure, GCP, and on-premises or air-gapped environments, so governance does not depend on which cloud or model a team chooses today or switches to tomorrow.
Unlike platforms built on top of a single hyperscaler’s ecosystem, Phinite is designed to sit above whatever stack a company already has, including GitHub Copilot, Microsoft 365 agents, LangGraph, CrewAI, or any framework connected through MCP. Companies do not need to rebuild what they have already built to adopt it.
Built for the enterprise. Built for the business scaling toward it.
Phinite serves two audiences with the same underlying platform. Large, regulated enterprises, including financial services, healthcare, and insurance organizations, use it to bring governance and auditability to agent deployments that face real compliance scrutiny. Growing SMBs and mid-market companies use the same registry and lifecycle tooling to avoid the sprawl that comes from every team building agents independently, well before compliance becomes the driving concern.
The company is currently running active evaluations, proofs of concept, and pilot engagements with a mix of Fortune 500 enterprises and mid-size companies across banking, telecom, healthcare and professional services, validating the platform’s governance and lifecycle approach in real production environments.
“The mistake we see constantly is treating agent governance as something you bolt on once you’re big enough to need it,” said Somal. “By then it’s a rebuild, not an upgrade. The businesses that win are the ones that treat agents as accountable systems from the first one they ship, whether they have 50 employees or 50,000.”
Momentum
Phinite is now part of Microsoft for Startups, giving the company access to Azure infrastructure and Microsoft’s enterprise customer network as it scales its platform for regulated and high-growth industries alike. The company offers a tier’s for teams getting started, with paid plans built for organizations running agents at production scale.
