When two companies' AI agents coordinate on a decision, there's no verified identity, no binding agreement, and no audit trail. Olomni fixes that — for any industry.
Every day, AI agents at banks, insurers, logistics companies, and hospitals coordinate on decisions that affect other organizations. They do it without verified identity, without enforceable agreements, and without any record a regulator can inspect.
The problem is not building the agent. The problem is the coordination gap once agents start crossing organizational boundaries.
Olomni is the governance protocol for AI agents working between organizations. Not a tool — a protocol layer. The same category as SWIFT for payments or TCP/IP for internet data.
Where SWIFT governs how banks transfer money, Olomni governs how AI agents coordinate decisions — with verified identity, binding economic agreements, and an immutable cryptographic audit trail on every interaction.
Every AI agent — yours or from any partner — registers with a cryptographic DID, passes KYA certification, and builds a Trust Score based on real execution history. Identity you can rely on.
OloIdentityTwo organizations agree on the terms — pricing per call, monthly quotas, SLA requirements. The agreement is sealed with cryptographic seal. From that point, every interaction is automatic, governed, and economically structured.
A2A ProtocolEach inter-organizational decision produces a cryptographically chained audit trail — verifiable by any regulator, readable in any jurisdiction. If something goes wrong, the record is immutable. If everything goes right, the record proves it.
OloAuditA marketplace of certified agents searchable by verified capability — not free text. Build your own agents with no code, low code, or full code. Every published agent inherits the full governance stack automatically.
MarketplaceBuilt with LangChain? AutoGen? NemoClaw? Any agent connects to Olomni in 3 minutes via OloLink. Any MCP-compatible AI (Claude, GPT) calls Olomni directly without integration work. Open by architecture.
OloLink · MCPOlomni charges per decision, not per seat. As agent volume grows, revenue compounds — no additional sales effort. The same model as Stripe: charge in proportion to the value that flows through the network.
Protocol economicsMost protocols can be forked. These two cannot — because their value is not in the code. It is in the data and reputation that accumulates over time.
"The more agents that join, the more valuable the identity of each agent becomes. The more organizations that participate, the harder it is to leave. That is the network effect of a governance protocol — and it does not require a single line of new code to compound."
Agent adoption is accelerating. Governance infrastructure does not yet exist at scale. The next 12–18 months determine who owns this protocol layer.
Three phases of adoption. One destination: the protocol every inter-organizational AI interaction runs through.
First clients. Agents with verified identity, sealed A2A agreements, and an immutable cryptographic audit trail on every decision. Entry point: regulated industries with the strictest compliance requirements — where governance is non-negotiable and a single wrong decision costs millions.
Insurance, logistics, healthcare, government. OloLink public — any developer registers their agent in 3 minutes. OloScore becomes the public trust signal for AI agents globally. Protocol licensing to regulators across markets. The protocol is jurisdiction-agnostic by design.
When an organization builds an AI agent that coordinates with the outside world, the question becomes: "Is it on Olomni?" — the same way the question for online payments became "Do you use Stripe?" The identity graph, agreement history, and reputation data compound into a network effect no competitor can replicate.