AI where it pays, measured before it ships.
We build LLM-powered products, automate document-heavy work, and apply machine learning to forecasting and classification. Every project starts from a measurable goal and an evaluation set, so you know it works before your customers find out.
- Price
- Set in your written proposal
- You receive
- A working system with its evaluation results, its cost per use and a plan for monitoring quality.
Scope, timeline and price in writing before any work starts.
What we build. And how we check it.
- 01
Assistants over your data
Search and question answering over your documents and systems, with sources cited.
- 02
Automation
Extraction, classification and drafting for document-heavy work, with a person approving where it matters.
- 03
Predictive analytics
Forecasting, scoring and anomaly detection on your own data.
- 04
Evaluation
Test sets and metrics agreed up front, so quality is measured rather than assumed.
- 05
Privacy and cost
Where data is processed, which providers see it, and what each request costs.
Questions, answered.
01Will our data train someone else’s model?
It should not. We use providers whose terms exclude training on your data, or models hosted in your own environment, and we show you the terms.
Let’s look at your stack together.
Tell us what you run and where you want to go. We will set up a strategy session with an engineer.