Custom AI solutions, in production.
We build real artificial intelligence into your product — LLM applications, retrieval-augmented generation, AI agents, and custom machine learning models. Engineered, evaluated and monitored for production, not another proof-of-concept that never ships.
Cutting-edge AI, made practical.
LLM applications
Assistants, copilots and natural-language features powered by Claude, GPT and open models.
RAG systems
Retrieval-augmented generation over your own data — accurate, current, grounded answers.
AI agents
Tool-using, multi-step agents that automate real workflows with the right guardrails.
Custom ML models
Bespoke models for prediction, ranking, and classification — trained on your data.
Vision & NLP
Computer vision and natural-language processing tailored to your domain.
MLOps & evaluation
Training, serving, evaluation and monitoring pipelines that keep AI reliable in production.
AI that actually ships and holds up.
Grounded
We connect models to your data so answers are accurate, not made up.
Evaluated
Every AI feature ships with tests and evals — we measure quality, not vibes.
Monitored
Observability and guardrails so AI stays safe and reliable in the wild.
Owned
One team from model choice to deployed feature — accountable end to end.
Common questions
What are custom AI solutions?
Custom AI solutions are AI features and systems built specifically for your product and data — such as LLM-powered assistants, RAG, AI agents, or bespoke machine learning models — rather than a generic off-the-shelf tool.
What is RAG and do I need it?
RAG (retrieval-augmented generation) lets a language model answer using your own documents and data, which reduces hallucinations and keeps answers current. It's the right choice when you need an LLM to reason over private or frequently-changing information. We break it down here: RAG vs fine-tuning explained.
Can you add AI to our existing software?
Yes. We integrate AI features into existing applications and workflows, connect them to your data and infrastructure, and put the right guardrails, evaluation and monitoring in place for production.
Have an AI idea worth shipping?
Tell us the problem. We'll tell you what's actually possible today — and build it.