EigenAI
AI has a trust problem
For AI agents to be trusted with higher stakes decisions, "probably correct" isn't good enough. EigenAI delivers deterministic inference you can prove, with a single line of code
Same prompt. Same response. Every time.
Your users can re-run any inference and get identical results. Deterministic AI they can verify themselves.
One line to integrate
Drop-in OpenAI compatible. Swap your API endpoint and get verifiable inference without rewriting your stack.
Backed by real economic stakes
EigenLayer's cryptoeconomic security means operators have skin in the game. Real penalties for misbehavior, scaled to your needs.
The agentic economy starts with trust
AI agents can scale human coordination like never before. But only if they're trusted to act on our behalf. That trust requires proof, not promises.
Results your users can verify
Same inputs, same outputs, every time. Deterministic inference means anyone can re-run a query and confirm the result.
Disputes become checkable facts
When results are reproducible, disagreements resolve themselves. No arguments, just re-execution.
Guarantees with teeth
Economic stakes mean operators have skin in the game. Trust isn't assumed. It's enforced.
Your models. Now verifiable.
EigenAI supports Qwen, DeepSeek, and GPT-oss class models. Pick the right model for the job. We make it provable.
Unlocking a new class of AI-based applications
EigenAI solves the determinism problem that's kept AI agents as "functional toys." These teams are building serious infrastructure.
01
Agent Trading
Trading agents that execute strategies on behalf of users. Verifiable execution. Transparent decisions. Auditable results.
02
Agent2Agent Payments
Agents that pay other agents. Programmatic pricing, verifiable fulfillment, and on-chain settlement. Commerce between machines, built on trust.
03
Verified Social Network
Social feeds users can trust. Content verified at the source. No tampering. No question.
