ABOUT MUFAW

We build dependable model-flow control planes.

Production architectures connecting models, retrieval, and tools into observable, safe, owned pipelines.

  • Orchestration across multiple models
  • Retrieval + tool routing with guardrails
  • Telemetry, evaluation, and runbooks
  • Safety + control layers designed in
MuFaw model-flow control plane visualization
Control plane topology for multi-model orchestration
MuFaw trace view for production model-flows
Trace-level routing, evaluation, and cost telemetry

Research ↔ Platform Loop

We turn long-horizon research into deployable systems—then validate them in production.

Control planesTelemetrySafety evals

How we work

Tight feedback loops from research to production, with operators embedded from day one.

Research Loop

  • Orchestration strategies for multi-model flows.
  • Evals and agent safety hardening.

Platform Engineering

  • Pipelines and control planes built to scale.
  • Observability across traces, costs, and drift.

Embedded Delivery

  • Ship with your team in sprint cycles.
  • Handoff runbooks and operational ownership.

Operating principles

The operator-grade guardrails we follow on every engagement.

Reliability over demos

We harden fallbacks and runbooks before shipping the flash.

Measurable evaluations

Every release includes eval suites, gates, and regression checks.

Safe-by-design routing

Routing decisions respect policy, budget, and risk boundaries.

Observable by default

Traces, metrics, and alerts are first-class deliverables.

Ownership handoff

We transition runbooks and controls to your operators.

Minimal complexity

Prefer the smallest architecture that clears reliability goals.

Founder

MuFaw is led by Fawad Khan

AI engineer and deep-tech builder focused on model-flow systems, applied research, and production-grade AI infrastructure.

Fawad Khan

Fawad Khan

Founder & Model-Flow Architect