Custom AI software that does the work, not just suggests it.
We build AI systems around your operation: read the document, route the decision, update the system of record, and log who approved it. Engineered with human review, role-based access, and a full audit trail from day one.
- Readsthe document and the context
- Routesthe decision by your rules
- Updatesthe system of record
- Logswho approved it
From model logic to the systems it runs inside.
Custom AI software is more than a prompt. It is retrieval, integration, governance, and evaluation working together so the system can be trusted with real work.
Applied LLM systems
The model logic that reads, classifies, extracts, drafts, and decides against your real documents and data, not a demo dataset.
Retrieval & grounding
Connect models to your own knowledge so answers cite your policies, contracts, and records instead of the open internet.
Workflow automation
Software that completes the steps: route the case, update the record, trigger the next action, escalate the exception.
Systems-of-record integration
Hardened connectors to the CRMs, ERPs, ticketing, and databases the business already runs on, with clear contracts.
Human review & governance
Approvals, role-based access, and a complete audit trail wired in from the first iteration, not bolted on at the end.
Evaluation & observability
Test sets, quality gates, and production monitoring so you know the system is right before it ships and stays right after.
Narrow scope, senior engineers, working software early.
Custom enterprise software fails when the process is wrong. Ours is shaped by what actually works: small accountable phases, software in your environment from week one.
- 01
Scope the work
We map the process end to end, the systems it touches, and the steps worth automating first, then agree on a narrow, accountable scope.
- 02
Build against reality
Short iterations against your documents and data, in your environment from week one, with review and access controls in place from the start.
- 03
Ship and improve
Staged rollout with operator training and runbooks, then ongoing evaluation as the work changes, or a clean handover to your team.
Next step
Have a process that an off-the-shelf tool can't reach?
Tell us the work, the documents, and the systems it touches. We will tell you what's worth building and how a first version could ship.