WAMO Labs is an AI-first engineering company. We build production AI systems (LLM apps, AI agents, RAG, ML models) and the web, mobile and cloud platforms they run on. Senior engineers lead every project from kickoff to launch.
A model alone is not a product. Every engagement pairs AI engineering with the product, platform and QA work that gets it to production. We agree on a written hypothesis before we write code.
Custom AI solutions built for one measurable job each. We build LLM applications, AI agents, RAG systems and machine-learning models, then run them in production with evals, guardrails and cost tracking.
Web applications that stay fast as traffic and AI features grow. React, Next.js, Node.js and Python, with copilots, smart search and clean APIs designed in from the first commit.
iOS and Android apps with native polish and AI features users actually use, from on-device ML to LLM assistants. Fast releases, solid backend integration.
Infrastructure that keeps AI products fast and affordable. AWS, Azure and GCP architecture, GPU inference and LLMOps pipelines, engineered for 99.9% uptime.
Interfaces that make AI output clear, correctable and trusted. Research-led product design, tested with real model output and built with engineers from day one.
Release faster with fewer regressions. Automated testing and performance work for business-critical apps, plus LLM evaluation and red-teaming for the AI inside them.
Selling online? See our e-commerce development work: headless storefronts with AI search and personalization built in.
Custom AI solutions need more than a model. We design, ship and operate every layer of a production AI system, from the data pipeline to the feature your users touch.
Reliable ETL/ELT, feature stores and document ingestion, so models work from clean, current data.
Classical ML and deep learning for NLP, computer vision and forecasting, sized to the problem.
Generative AI development: prompt design, fine-tuning, vector databases, retrieval and tool-using agents.
CI/CD for models, experiment tracking, offline and online evals, guardrails and drift monitoring.
Batch, streaming and real-time inference on AWS, Azure or GCP, with autoscaling and cost per request tracked.
APIs and SDKs that put AI features inside your web, mobile and backend systems.
See every layer at work in our LLM prior authorization case study, browse more AI case studies, find AI solutions by industry, or read our AI engineering insights.
Studio / Lahorew*Our offices are set up for pairing, code and eval reviews, and product workshops with clients. We work onsite by default because decisions happen faster, and go hybrid or remote when the engagement calls for it.
Our Lahore studio is in Quaid-i-Azam Campus, Canal Park. Our Austin operations support partners across North America. Both rooms run on the same engineering rhythm.
We respond within one business day, with a real human and a real opinion.