AI and machine learning
AI with a clear job to do. We build assistants, agents, data pipelines, and predictive models around real business problems, then test them with your team before they go live.
Applied to the work that matters
- Assistants and agents. AI that works with your documents, tools, and systems to support specific tasks.
- Document and data pipelines. Turn information in documents, email, and records into structured data your team can search, review, and use.
- Predictive models. Forecasting, classification, and scoring informed by your data and the decisions your team needs to make.
- Evaluation and deployment. Test sets, quality checks, and monitoring so you know how the system performs before and after launch.
A practical path to production
- 1 Understand. We work alongside your team to learn the task, review the available data, and define what a useful result looks like.
- 2 Build. We deliver in short cycles and test each version against real examples from your workflow.
- 3 Ship. We deploy with monitoring and a clear way for people to flag mistakes.
Confidence before launch
- A focused use case and clear criteria for success
- Evaluation using examples from your actual work
- Human review and monitoring suited to the task
Common questions
What AI work do you take on?
Assistants and agents built on large language models, document and data processing pipelines, and predictive models, each tested against real examples from your work.
How do you know the AI is working well enough?
We set up evaluations with examples from your workflow and review results with your team before and after launch.
Can the AI run on our own infrastructure?
That depends on the model and your setup. We review the options with you and follow your data and hosting requirements.
Tell us the task you want AI to help with.