Sub-100ms inference
Globally distributed edge runtime keeps responses fast no matter where your users are.
Nexora is the infrastructure layer for building, evaluating, and scaling AI agents — with observability, guardrails, and sub-100ms inference built in.
Trusted by engineering teams at
Platform
From first prototype to production traffic, Nexora gives you the primitives to build reliable AI systems without stitching together five vendors.
Globally distributed edge runtime keeps responses fast no matter where your users are.
Policy enforcement, PII redaction, and content filtering on every request by default.
Trace every token, tool call, and retry with structured logs and live dashboards.
Promote, roll back, and A/B test prompt and model changes with zero downtime.
Capture real traffic into datasets and score agents against them automatically.
Connect your models, vector stores, and tools with first-class native SDKs.
Observability
Distributed tracing for LLM apps. Inspect every prompt, tool call, retry, and token cost in a single waterfall — then jump straight to the failing span.
Guardrails
Attach policies to any agent and Nexora enforces them on every request — no extra code. Catch unsafe output before it ever reaches a user.
99.99%
Uptime SLA
82ms
Median latency
12B+
Requests / month
40+
Native integrations
Developers first
A typed SDK, local emulator, and CLI that feels like the tools you already use. Define an agent, attach guardrails, and deploy with a single command.
Loved by builders
"We replaced four internal tools with Nexora and cut our agent latency in half. The tracing alone paid for itself in a week."
Priya NairStaff Engineer, Ramp
"Guardrails went from a quarter-long roadmap item to a config change. Our security team finally signed off on shipping to prod."
Marcus LeeHead of AI, Brex
"The local emulator is the best DX I've seen for LLM apps. We onboard new engineers in an afternoon now."
Sofia AlmeidaFounding Engineer, Linear
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Free to start, no credit card required. Scale to billions of requests when you're ready.