Nine use cases.
One runtime.
What the agents actually do: perceive, reason, act, and learn across your enterprise environment, autonomously and inside your perimeter.
A chatbot answers.
An agent finishes the job.
What we deliver is an autonomous worker with a defined scope and an audit trail — not a chatbot bolted onto your intranet. The difference is visible in what happens between the request and the result.
- Question
“What is our exposure to this counterparty?”
- Answer
A paragraph, from whatever the model happens to know. Nothing changes in your systems.
- Goal
Reconcile a counterparty’s exposure across the ledger, the risk system, and last quarter’s filings.
- Reason
Break the goal into steps; decide which source is authoritative for each figure.
- Retrieve
Text-to-SQL on the ledger; filings from the local index, access controls respected.
- Use tools
Call the risk system’s API — scoped to this task, on a time-bound credential.
- Act
Draft the reconciliation; post it to the review queue.
- Verify
Re-check totals against source; flag the two entries that do not reconcile.
- Escalate
Anything above the approval threshold waits for a named human.
- Outcome
A reconciled position, a full audit trail, two exceptions routed to the right desk.
AI that stays inside
your perimeter.
Not “hosted in India”. Architecturally not reachable by anyone else, including us. The model, the data, the embeddings, and the logs never cross your boundary, and no outbound network path is required for the system to function.
- mTLS between components
- RBAC on every interface
- Immutable audit logging
- Zero outbound paths
- Your dataDocuments, records, databases
- Your modelsOffline weights, mixture-of-experts
- Your embeddingsLocal vector index
- Your logsImmutable reasoning traces
- Your infrastructureCompute you already own
- Your policiesRBAC, consent scope, guardrails
- On-premisesYour hardware or data center
- Private cloudIsolated, infrastructure-flexible
- Air-gappedFully offline, no dependency
- Your cloud accountAWS · Azure · Google Cloud · VPS
See a private agent
run inside a perimeter.
A 30-minute walkthrough of an agent planning, retrieving, acting, and verifying — all on infrastructure that never touches the public cloud — followed by the questions that determine whether it fits your environment.
- Live, not slides
- Your workflow, if you bring one
- No unpaid proof of concept