Service
AI engineering
We build AI into products where it earns its place: answering questions from your own data, automating repetitive work, or helping users get things done faster. We care about accuracy, cost and safety as much as the demo.
Outcomes
What you get
- An AI feature that works on your data, not just in a demo
- Evaluation so quality is measured rather than guessed
- Guardrails for privacy, safety and cost
- A clear view of what AI can and cannot do for your case
Capabilities
What we do
LLM applications
Assistants and features built on large language models, integrated into your product.
Search over your own data
Retrieval-augmented generation so answers come from your documents and records.
AI agents and automation
Agents that carry out multi-step tasks with the right checks in place.
Machine-learning pipelines
Data preparation, training and deployment pipelines for machine-learning models.
AI readiness
Assessing where AI will help, and where it will not, before you invest.
Technologies
What we build with
- Python
- LLM applications
- Retrieval-augmented generation
- AI agents
Questions
Common questions
Will our data be used to train AI models?
Not by us. We choose providers and configurations that keep your data out of model training, and we set out exactly where data goes before anything is built.
How do you know the AI is accurate?
We build an evaluation set from your real cases and measure against it throughout, so accuracy is a number you can see rather than an impression.
Ideas Engineered At Scale
Have something to build?
Tell us what you are working on. We will reply with questions, not a sales pitch.