AI in the product. Not in the pitch.
Everyone has an AI demo. We ship AI that runs in production: predictive models, intelligent automation, and LLM systems built with the architecture, tooling, and evals to hold up under real load.
Most AI never makes it past the demo.
A prototype impresses the room and then stalls. No evals, no guardrails, no path to production. The hard part was never the demo. It’s the architecture, the data pipeline, and the testing that turn a clever output into a system you can trust in front of customers.
Built with AI from day one. Not retrofitted.
We architect for AI from the first decision: model choice, data flow, evaluation, and fallback behavior. We build the pipelines that feed it and the evals that keep it honest, so what we ship is measured against real performance, not a good first impression.
- 01
Predictive modeling and machine learning
Models built on your data and wired into the product, not parked in a notebook.
- 02
Intelligent automation and agents
Workflow automation and agentic systems that take real work off your team.
- 03
LLM applications
Retrieval-augmented systems, evals, and guardrails for AI features that behave in production.
- 04
Data engineering
The pipelines, warehousing, and infrastructure that make everything above possible.
- 05
Prompt engineering and optimization
Systematic prompt design and testing, not trial and error.
- 01The founder whose product needs a real AI capability, not a wrapper.
- 02The CTO with a model that works in testing and breaks in production.
- 03The enterprise leader under a board mandate to ship AI, who wants systems instead of slideware.
| Generalist devs | AI consultancies | Northpoint | |
|---|---|---|---|
| AI maturity | Retrofitted later | Strategy decks | Architected in from day one |
| What ships | A wrapper | A recommendation | A production system with evals |
| Data | Your problem | Out of scope | Engineered end to end |
Got an AI build worth doing right?
30-minute intro. Straight talk. We’ll tell you if we’re the right team, or we won’t.