Service
LLM, copilot, and agent integration for systems and teams
We design, integrate, and optimize LLM experiences for search, support, automation, and productivity.
Search and assistant experiences
Copilots inside internal workflows
Tool-using agents
Governed deployment patterns
What we build
We create LLM-powered experiences that connect to real systems, business rules, and data sources instead of remaining generic chat interfaces.
That includes search, internal assistants, copilots in workflows, and agents that use tools under controlled conditions.
Where it fits
This service works well when AI must live inside existing operations rather than as a standalone experiment.
- Internal knowledge assistants
- Search and retrieval interfaces
- Customer and support copilots
- Workflow assistants with actions
How we integrate
We define retrieval, prompting, system boundaries, evaluation, and monitoring as part of the implementation.
- LLM selection and architecture
- Retrieval and context strategy
- Prompt and response design
- Evaluation and observability
Next step
Book a discovery call to review goals, current systems, and the safest path to implementation.