Company knowledge
Search policies, technical documents, and operational records with source citations and access boundaries.
AI and intelligence
Private intelligence that works inside the business.
We build private LLMs, knowledge systems, agents, and decision tools around the data and workflows your team already depends on.
Discuss this service
WHAT WE BUILD
AI and intelligence capabilities
We start with the work, data, and decision points involved. Then we design the right level of intelligence, oversight, and operational visibility around it.
- 01Private LLM and secure retrieval systems
- 02AI agents, copilots, and approval flows
- 03Enterprise search and document intelligence
- 04Model evaluation, observability, and governance
Typical uses
Custom AI development for knowledge work, document-heavy operations, and useful agent actions. We design the retrieval, permissions, evaluation, and application around the model.
Agents with a defined job
Prepare a case, update a record, or coordinate a workflow with approval steps for consequential actions.
Document intelligence
Extract structured information from documents, flag uncertain fields, and route exceptions to a reviewer.
Project inputs
and deliverables
Bring one recurring task, representative documents, the systems involved, and the actions a user should be allowed to approve. Synthetic or redacted examples are enough for an initial discussion.
A scoped engagement can include
- A documented data and permission model
- Retrieval pipelines and application integrations
- Evaluation cases for answers and agent actions
- Usage, cost, and failure visibility
- An operator guide and release handover
Before we begin.
Do we need to train our own model?
Often the first useful system uses an existing model with retrieval and well-defined tools. We assess retrieval, prompting, and evaluation before proposing fine-tuning or a separate model.
Can an agent work with our existing software?
Yes, where an API or suitable integration is available. We scope authentication, allowed actions, approval rules, failure handling, and the activity record for each connection.
How is quality assessed?
We build evaluation cases from the intended workflow. Answers are checked for useful evidence and completeness; actions are checked for correct inputs, permissions, and outcomes.