
Model Evaluation - Jan 21, 2026
Product + embedded delivery - we design, build, and deploy reliable AI systems for teams, founders, and enterprises.
Typically replies in 24-48 hours. Private beta onboarding.
Capabilities
Infrastructure built for production model-flow systems: architecture, orchestration, and evaluation pipelines.
End-to-end AI features shipped into real apps.
Support, sales, internal ops, and workflow copilots.
Search + retrieval over your docs and data.
Agentic workflows that execute tasks safely.
Production deployment, latency, and cost control.
Security, governance, and integration with your stack.
WHAT YOU RECEIVE
We deliver the blueprints, evidence, and operational assets your team needs to run confidently.
INFRASTRUCTUREEnterprise-grade foundation built for scale.
BLUEPRINTArchitecture and data flow.
TELEMETRYReal-time reliability tracking.
Process
Fast alignment, disciplined delivery, production ownership.
Align
Define the use-case, constraints, and success metrics.
Build
Ship a working system with evaluation and observability.
Operate
Make it measurable, safe, and maintainable.
Industries
We build production AI systems where reliability, governance, and measurable outcomes matter. From RAG and agents to evaluation pipelines and observability, we help teams ship and scale safely.
Fraud, compliance, and decisioning pipelines with auditable evaluations and monitoring.
ExploreClinical and research workflows powered by governed retrieval and safe deployment.
ExplorePredictive maintenance and quality systems with streaming data and observability.
ExplorePersonalization and support automation with reliable retrieval and A/B evals.
ExploreForecasting and routing optimization with robust pipelines and telemetry.
ExploreNetwork automation and customer ops with scalable orchestration and drift monitoring.
ExploreRecommendations and content intelligence with evaluation harnesses and governance.
ExploreService automation and analytics with compliance-first pipelines and traceability.
ExploreTestimonials
Real feedback from teams who want dependable AI systems in production.
“MuFaw made our model-flow observable and easier to operate in production.”
CTO, industrial automation
“The embedded pod delivered guardrails and runbooks we could keep using.”
Head of Data Platform, fintech
“They balanced research rigor with production reality and clear ownership.”
Director of AI Research, healthcare
FAQ
We design and deliver reliable AI systems that ship: from the first prototype through production readiness and ongoing operations.
Yes. We integrate with your models, data, tools, and infra so you keep ownership while we improve reliability and performance.
We add evaluation gates, monitoring, and incident runbooks so quality is measurable and failures are contained.
We begin with a short alignment sprint to define scope, constraints, and success metrics, then move into delivery.
Yes. We ship product-grade components and embed with your team to implement them in your environment.
We help your operators own the system with monitoring, alerts, and handoff runbooks that support day-to-day use.
Blog
Updates on architecture, reliability, and what we're building.
We build on and integrate with ecosystems like
Tell us what you're building - we'll respond with a plan.