AI Development
AI that automates real work, not just demos
We build production AI systems — LLM-powered features, custom ML models, and AI agents that reason and act — grounded in your data and integrated with your existing stack.
What you get
- LLM integration
- RAG pipelines, document processing, and AI features built on Claude, GPT, or open models — chosen for your use case, not hype.
- Agentic AI systems
- AI agents that plan and execute multi-step workflows alongside your team, with human oversight built in.
- Custom ML models
- NLP, computer vision, and predictive models trained on your data when off-the-shelf APIs are not enough.
- Production-grade
- Evaluation suites, cost controls, and monitoring — so the system keeps working after the demo.
How it works
-
Use-case audit
We identify where AI genuinely pays off in your workflow — and tell you where it does not.
-
Prototype fast
A working proof of concept on your real data within weeks, with honest accuracy numbers.
-
Harden and deploy
Evaluation, guardrails, cost optimization, and integration into your production stack.
Related: Workflow Automation Layer — one process automated end to end
Frequently asked questions
Which AI models do you work with?
Claude, OpenAI GPT, and open-weight models (Llama, Mistral). We pick per use case based on accuracy, cost, and data-privacy requirements.
Can our data stay private?
Yes. We can build on zero-retention API tiers, your own cloud accounts, or fully self-hosted open models depending on your requirements.
How do you measure whether the AI actually works?
Every project ships with an evaluation suite measuring accuracy on your real data — defined before we build, reported honestly throughout.
What does an AI project typically cost?
Proof-of-concept engagements typically start at a few weeks of a small team. We scope a fixed-price PoC first so you can validate before committing further.