Lahore
Pakistan · UTC+5
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80+engineersLab+ ops
AI development company:Engineering
production
AI agents.
Senior AI engineers. No junior bait-and-switch.WAMO Labs delivers AI engineering services end to end. We design, build and run AI agents, LLM applications, RAG systems and custom ML models that hold up under real traffic, plus the platforms they run on.
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Austin
Texas · US Central
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20+engineersClient+ go-to-market
UTC--:--:--Universal · always shipping
Active
14
Engineers
100+
Deploys · 7d
47
Countries
14
Recent ship loglast 24 hours
Trusted by teams
Shipping production AI for teams worldwide.
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What our AI development team builds.
Six AI engineering services, one team. Models and agents first, then the web, mobile, cloud, design and QA that get them to production. Compare all AI engineering services.
AI & machine learning
AI agents, LLM apps, RAG, computer vision and custom ML. Evaluated, guarded and live in production.
AI-ready web platforms
Next.js · Node · Python · LLM APIs
AI-powered mobile apps
iOS · Android · On-device ML
Cloud, MLOps & DevOps
AWS · GCP · Azure · GPU inference
AI product & UX design
Copilot UX · Design systems · Trust
QA & AI evaluation
LLM evals · Red-teaming · Test automation
AI solutions across industries.
Fraud detection in fintech, clinical documentation in healthcare, demand forecasting in logistics. Applied AI where it moves the numbers. Browse AI solutions by industry.
01AI & machine learning
Production AI that earns its keep
LLM applications, AI agent development and custom ML models, built against evals from day one. We tune for accuracy, latency and cost per request, with guardrails and human review where the stakes demand it.
- LLM application development
- AI agents & tool-using workflows
- RAG over your private data
- Custom ML & computer vision
- Evals, guardrails & red-teaming
- Predictive analytics & forecasting
02Web & platform
The platform around the model
AI features live inside real products. We build the React and Next.js front ends, Node.js and Python APIs, and data layers that serve models quickly and safely.
- React & Next.js front ends for AI products
- Node.js & Python APIs and model serving
- Streaming chat & agent interfaces
- Vector search with pgvector
- CI/CD, DevOps & LLMOps pipelines
- Type-safe end-to-end contracts
03Enterprise & compliance
Enterprise AI at scale
AI that passes security review. We design for high traffic, strict data boundaries and full audit trails, from the app down to the cloud and MLOps infrastructure, so your rollout clears compliance instead of stalling in it.
- Enterprise architecture for AI workloads
- Data platforms & warehousing
- Security & compliance (SOC 2, HIPAA)
- Access controls & PII handling
- Legacy system modernization
- Observability, SLOs & cost controls
The track record behind the AI.
Five years of shipped product, from core platforms to LLM applications. Measured in outcomes, not slide decks. For one example, read the LLM prior authorization case study.
Clients served
35+
From seed-stage startups to enterprises that trust us with the systems their business runs on.
Engineers
110+
AI and ML, full-stack and cloud specialists. A senior engineer leads every engagement.
Solutions delivered
150+
AI integrations, web and mobile apps, and cloud infrastructure shipped worldwide.
Years shipping
5 years
Founded in Lahore in 2021, with a US team in Austin since late 2024.
How we take AI from pilot to production.
Our AI development process, refined across 150+ shipped solutions. Careful at the start, fast in the middle, disciplined at launch.
Discover
Stakeholder interviews and a data and systems audit, ending in a written plan with the success metrics we will be measured on.
Architect
Model selection, data pipeline, eval set and integration map. Boring technology where we can, new models where they earn their place.
Ship in weeks
Two-week sprints on a working prototype, each one scored against your evals. You get a live demo every Friday.
Operate
Model monitoring, on-call, drift alerts and cost-per-request tuning after launch. The team that built the system runs it.
What sets the cost and timeline of an AI project
- Scope. How many workflows, users and edge cases the system has to handle.
- Data readiness. Whether your data is accessible, clean and labeled, or needs a pipeline first.
- Integrations. The systems the AI must read from and write back to.
- Risk and compliance. HIPAA or SOC 2 scope, audit trails and where humans stay in the loop.
- Quality bar. The accuracy, latency and cost-per-request targets your evals set.
The Discover step turns these into a written plan, so scope, success metrics and the first milestones are agreed before build starts. Ready to scope yours? Start an AI project and we reply within one business day.
Four reasons AI teams pick us over the agency next door.
What that means for you: fewer surprises, faster feedback and an AI system someone still owns after go-live.
Senior engineers on every project.
No junior pyramid. Everyone on your engagement has shipped production software, owned an on-call rotation and survived an incident retro.
Success metrics and evals before any code.
We agree on the problem, the success metric and the eval set before line one. If the brief is wrong, we'd rather find out in a one-page doc than in a sprint review.
Friday demos. No black-box phases.
Every Friday you see the system running on a real environment with real data. Quality is visible week by week, so launch day holds no surprises.
Observability and on-call by default.
We don't disappear at launch. Dashboards, SLOs, runbooks, model monitoring and incident response are part of the engagement, not an add-on.
About / WAMO Labsw*A senior AI engineering partner for teams that refuse to ship demos.
WAMO Labs designs, builds and runs production AI: agents, LLM applications, RAG pipelines and custom ML models. We also build the web, mobile, cloud and data platforms those systems depend on, so one team owns the result end to end.
Every engagement ships with evals, guardrails, observability and a known cost per request. You get AI features your users trust and a bill your finance team can forecast.
They treated our product like their own. Excellent quality, strong ownership, and proactive problem-solving throughout the engagement.
M.
Head of Product
HealthTech · Series B
Build with WAMO Labs
Ready to ship AI to production?
We reply within one business day with a straight answer on feasibility and a proposed next step.