AI infrastructure should feel like infrastructure.

Nirmos gives developers a dependable layer between their applications and the fast-changing AI ecosystem—so teams can ship, observe, and evolve without rebuilding their stack around every model change.

Make production AI less fragmented.

Model choice will keep changing. Application teams should be able to adopt what is better without losing control of reliability, cost, or operational context.

01

Infrastructure should compose

Gateway, routing, prompts, limits, and telemetry should work as one system—not a pile of disconnected control planes.

02

Every request should explain itself

Teams need a clear record of where a request went, why it went there, what it cost, and how it performed.

03

Production is the default

Reliability, isolation, controlled access, and predictable behavior belong in the foundation from the first deployment.

Built between application intent and model execution.

Nirmos keeps application code stable while policy, providers, prompts, and operational signals evolve behind one interface.

L1
Application
SDKs · APIs
L2
Control
Prompts · Limits
L3
Gateway
Route · Fallback
L4
Models
Any provider

Keep your application moving while the model layer changes.

Start with the gateway, then add routing, fallbacks, prompts, limits, and observability as production demands grow.