We build AILLM Apps

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

Build, deploy, and scale AI systems.

Infrastructure built for production model-flow systems: architecture, orchestration, and evaluation pipelines.

ProductServicesResearch-to-ProductionEnterprise-ready

AI SaaS Products

End-to-end AI features shipped into real apps.

  • Architecture + implementation
  • Monitoring + iteration
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Chatbots & Copilots

Support, sales, internal ops, and workflow copilots.

  • Tool calling + guardrails
  • Conversation analytics
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RAG Knowledge Systems

Search + retrieval over your docs and data.

  • Indexing pipelines
  • Eval + quality gates
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AI Agents & Automation

Agentic workflows that execute tasks safely.

  • Policies + approvals
  • Runbooks for ops
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Deployment & Scaling

Production deployment, latency, and cost control.

  • CI/CD + infra setup
  • Performance + cost tuning
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Enterprise Integration

Security, governance, and integration with your stack.

  • Access control + audit
  • Integration + handoff
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WHAT YOU RECEIVE

Operator-grade artifacts your team can own.

We deliver the blueprints, evidence, and operational assets your team needs to run confidently.

  • System blueprint (architecture + data flow)
  • Evaluation report + quality gates
  • Telemetry dashboard + alerting
  • Runbooks + handoff checklist
See the MuFaw brief
AI Infrastructure Foundation
INFRASTRUCTURE

Enterprise-grade foundation built for scale.

System Blueprint
BLUEPRINT

Architecture and data flow.

AI Telemetry
TELEMETRY

Real-time reliability tracking.

Process

How we work

Fast alignment, disciplined delivery, production ownership.

Align

Define the use-case, constraints, and success metrics.

  • Scope + roadmap
  • Risks + guardrails

Build

Ship a working system with evaluation and observability.

  • Prototype -> production
  • Quality gates

Operate

Make it measurable, safe, and maintainable.

  • Telemetry + alerts
  • Runbooks + handoff

Industries

Industries with real AI ROI

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.

Tier 1

High-fit verticals

Financial Services

Fraud, compliance, and decisioning pipelines with auditable evaluations and monitoring.

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Healthcare and Life Sciences

Clinical and research workflows powered by governed retrieval and safe deployment.

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Manufacturing and Industrial

Predictive maintenance and quality systems with streaming data and observability.

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Retail and E-commerce

Personalization and support automation with reliable retrieval and A/B evals.

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Transportation and Logistics

Forecasting and routing optimization with robust pipelines and telemetry.

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Energy and Utilities

Smart grid and asset reliability using secure data ops and tracking.

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Tier 2

Strategic opportunities

Telecommunications

Network automation and customer ops with scalable orchestration and drift monitoring.

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Media and Entertainment

Recommendations and content intelligence with evaluation harnesses and governance.

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Government and Public Sector

Service automation and analytics with compliance-first pipelines and traceability.

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Testimonials

What teams say about MuFaw

Real feedback from teams who want dependable AI systems in production.

MuFaw made our model-flow observable and easier to operate in production.

Lena Iqbal

Lena Iqbal

CTO, industrial automation

The embedded pod delivered guardrails and runbooks we could keep using.

Derrick Coleman

Derrick Coleman

Head of Data Platform, fintech

They balanced research rigor with production reality and clear ownership.

Mina Rao

Mina Rao

Director of AI Research, healthcare

FAQ

Answers to common questions

What do you build?

We design and deliver reliable AI systems that ship: from the first prototype through production readiness and ongoing operations.

Can you work with our existing stack?

Yes. We integrate with your models, data, tools, and infra so you keep ownership while we improve reliability and performance.

How do you ensure quality and safety?

We add evaluation gates, monitoring, and incident runbooks so quality is measurable and failures are contained.

How do we start?

We begin with a short alignment sprint to define scope, constraints, and success metrics, then move into delivery.

Do you provide product + services?

Yes. We ship product-grade components and embed with your team to implement them in your environment.

What happens after launch?

We help your operators own the system with monitoring, alerts, and handoff runbooks that support day-to-day use.

Blog

Notes from MuFaw

Updates on architecture, reliability, and what we're building.

Latest notesView all
Beyond Accuracy: The Art & Science of Truly Understanding Your AI Models

Model Evaluation - Jan 21, 2026

Beyond Accuracy: The Art & Science of Truly Understanding Your AI Models

Why accuracy alone fails--and how to characterize models for trust, robustness, and compliance.

From Raw Meeting Transcripts to Structured Minutes: Training DeBERTa for 'What Happened?' and 'What Changed?'

NLP - Jan 21, 2026

From Raw Meeting Transcripts to Structured Minutes: Training DeBERTa for 'What Happened?' and 'What Changed?'

A practical pipeline for turning transcripts into structured minutes using DeBERTa classifiers.

Diffusion Models, Explained (and How They Compare to GANs)

Diffusion - Jan 21, 2026

Diffusion Models, Explained (and How They Compare to GANs)

Why diffusion dominates high-fidelity generation, where GANs still win, and modern hybrids.

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Ready to build something dependable?

Tell us what you're building - we'll respond with a plan.