Architecture - Aug 12, 2024
MuFaw - AI Engineering Studio
We build AIproducts that ship.products that ship.
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.
Designed to sit on top of your stack
OpenAI-compatibleHugging FaceLangChainKubernetesPostgresVector DBs
Product + embedded delivery
Product ownership
Built to be run by your team in production.
Quality signals
Clear metrics that prove what is working.
Embedded delivery
We ship alongside your engineers.
Operational handoff
Runbooks and ownership you can trust.
MUFAW - CONTROL PLANE VIEWPRIVATE BETA
RoutingEvalTelemetrySafety
Capabilities
Build, deploy, and scale AI systems.
Product + embedded delivery - from prototypes to production-grade deployments.
ProductServicesResearch-to-ProductionEnterprise-ready
AI SaaS Products
End-to-end AI features shipped into real apps.
- Architecture + implementation
- Monitoring + iteration
Chatbots & Copilots
Support, sales, internal ops, and workflow copilots.
- Tool calling + guardrails
- Conversation analytics
RAG Knowledge Systems
Search + retrieval over your docs and data.
- Indexing pipelines
- Eval + quality gates
AI Agents & Automation
Agentic workflows that execute tasks safely.
- Policies + approvals
- Runbooks for ops
Deployment & Scaling
Production deployment, latency, and cost control.
- CI/CD + infra setup
- Performance + cost tuning
Enterprise Integration
Security, governance, and integration with your stack.
- Access control + audit
- Integration + handoff
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
CONTROL PLANE VIEWOperator-grade topology for model routing and control.
BLUEPRINTArchitecture and data flow mapped for production.
TELEMETRYDashboards, alerts, and reliability tracking.
HANDOFF RUNBOOK
- Runbook: Incident -> Evaluate -> Rollback - Checks: latency, cost, drift, safety - Owner: on-call + escalation map - Actions: throttle, switch models - Data: trace slices + eval diffs - Alerts: SLO breach response - Report: post-incident summary - Handoff: ops + product signoff
Runbooks and ownership transfer built in.
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
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
CTO, industrial automation
“The embedded pod delivered guardrails and runbooks we could keep using.”
Derrick Coleman
Head of Data Platform, fintech
“They balanced research rigor with production reality and clear ownership.”
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.
Founder
MuFaw is led by Fawad Khan
AI engineer and deep-tech builder focused on dependable systems, production discipline, and operator-ready delivery.
- AI systems: RAG, agents, CV, deployment
- Research-to-production discipline
- Operator mindset: reliability + ownership
Fawad Khan
Founder & Model-Flow Architect
Building AI infrastructure that teams can own, operate, and trust in production.
We build on and integrate with ecosystems like
Ready to build something dependable?
Tell us what you're building - we'll respond with a plan.