Expertise
AI engineering and integration
We build AI features for document search, information extraction and user assistance. We connect models and agents to your applications, with testing and controls appropriate to the actions they can take.
AI features integrated into your software
- Features powered by large language models (LLMs): document search, extraction, summarization and embedded assistants.
- Connections to your data, APIs and business workflows.
- AI agents and workflows that carry out sequences of tasks, with limited permissions and human approval for sensitive steps.
- Evaluation datasets and regression tests to check results, costs and response times.
- Production integration: data protection, logging, error monitoring and fallback behavior.
- AI-assisted software engineering: coding agents and development environments with repository instructions, tools, automated checks and human review.
From experimentation to production use
- You want to add an AI feature to a product or internal application.
- A search or document-processing prototype needs access to your data.
- An agent needs to act in your tools with explicit permissions and limits.
- You want to establish coding-agent practices within your development team.
Evaluate before expanding use
We define the task and success criteria, then evaluate a prototype on representative examples. Results guide model selection and integration. For coding agents, we also set up the development harness: repository context, permitted tools and the checks required before a change is accepted.