AI & Machine Learning
From AI idea to shipped product
We build AI features that pay off — LLM-powered assistants, intelligent automation, recommendation systems, and custom models integrated into your products and workflows.
What we do
LLM applications & agents
RAG assistants, semantic search, copilots, and agentic workflows built on OpenAI, Anthropic, and open-source models.
Machine learning models
Classification, forecasting, recommendation, and computer vision models — trained, evaluated, and deployed.
Workflow automation
Document processing, triage, and back-office automation with human-in-the-loop controls.
Evaluation & MLOps
Eval suites, monitoring, and feedback loops so model quality improves over time — and cost stays visible.
How we work
- 1
Identify
Score candidate use cases by ROI, feasibility, and risk — then pick one that can ship quickly.
- 2
Pilot
Build a measurable pilot in weeks, with success metrics and evals defined up front.
- 3
Scale
Harden, monitor, and expand what works — and drop what doesn't, fast.
Typical deliverables
- AI feature or assistant in production
- Model training & evaluation suite
- Vector store & data pipeline
- Monitoring & cost dashboard
Outcomes to expect
- AI features in production, not slide decks
- Quantified quality through evaluation
- Hours of manual work automated every week
Tools & platforms
Ready to talk ai & machine learning?
Tell us where you're headed — we'll come back with a plan, not a sales pitch.