Data & context
Ingestion pipelines, embeddings, hybrid search, RAG, and governance for answers grounded in company knowledge.
We design and build AI systems that work with your data, integrate with your business, and deliver measurable outcomes — with senior engineering from discovery to production.
Projects delivered
Years in the field
Average years of experience
Countries served
We enter the problem, design the architecture, and ship software that works in the real world — integrated, observable, and ready to evolve.
Production AI takes far more than an API call. We master the data, model, evaluation, security, and operations layers that separate a demo from a reliable system.
Ingestion pipelines, embeddings, hybrid search, RAG, and governance for answers grounded in company knowledge.
Selection, fine-tuning, routing, and efficient deployment of commercial or open models with vLLM and GPUs.
Agent orchestration, tool use, memory, guardrails, and automated evals to measure real quality.
Prompt and trace observability, latency and cost control, security, fallback, and continuous improvement.
Short cycles, documented decisions, and direct access to the people designing and building the solution.
We understand the problem, constraints, and what success looks like.
We design a lean, scalable technical solution.
We build in short cycles, with code in production early.
We ship, measure, and evolve.
Small teams, accessible specialists, and ownership of what we put into production.
No apprentices on critical projects. Our team averages 10+ years in software and AI.
We build AI pipelines that run in production, with evaluation, observability, and cost under control.
We ship fast because we automate what should be automated and reuse battle-tested architecture.
We're not a code factory. We dig into the client's problem and stay until it's solved.
From backend to GPU-based LLM inference, we use a pragmatic, testable stack built for operations.
Tell us where operations stall or where AI could create an edge. We reply within one business day.