Each layer is useful on its own. Together, they become a system.
Fine-tuning gives the model business-specific behavior. Retrieval grounds answers in private data. Workflows execute the process. AI employees keep recurring operations moving.
Models trained on your operating logic
We train models on your contracts, SOPs, historical decisions, approved language, and domain terms so the model behaves like your business.
Private retrieval for grounded answers
We build retrieval systems that search the right policies, documents, notes, and records before an answer is generated.
Workflows that actually complete the task
Research, enrich, draft, approve, and update systems in a controlled flow so work gets done instead of just described.
Persistent systems for repeatable operations
For high-volume recurring work, we build AI employees that operate within your process, report activity, and hand off only what needs a human.
Understand the business
We map the language, systems, decisions, and failure cases that make your operation unique.
Build the intelligence layer
We fine-tune, retrieve, and test against real scenarios before automating anything important.
Ship the operational system
We connect the model to the workflow, tools, and review process your team actually uses.