Software that doesn't wait to be asked. Multi-agent systems that read, decide, and act inside your operations — sovereign by default, with a privacy router gating every external call.
Production agent systems for regulated environments — not demos, not chatbots.
LangGraph-based agent meshes with deterministic state machines, replay logs, and human-in-the-loop checkpoints at every consequential action.
Sovereign agent runtime on NVIDIA NeMo infrastructure. DGX Spark / Station / B200 reference architectures with one-command deployment.
Policy-driven gateway that decides — per request, per field — whether work runs sovereign or escalates to a frontier model. PII never leaves without explicit allowlist.
Agents that operate your real systems — SAP, ServiceNow, Microsoft Graph, custom APIs, browser automation — with role-based credentials and full action audit.
Trajectory-level evals, regression suites, and adversarial red-team frameworks. Every prompt, every tool call, every decision is testable.
24×7 SRE for production agent systems. Cost ceilings, runaway protection, fallback modes, and incident response runbooks.
Built on NVIDIA NeMo and DGX. Reachable to frontier only through a policy gate you control.
Trace one or two real workflows end-to-end. Identify decision points, latency sinks, and the right level of agency for each step.
Build the agent in a sandbox with synthetic data. Test trajectories, eval suites, and rollback behavior before any production touch.
Run the agent in production read-only — observing, suggesting, never acting. Compare to human baseline. Tune until it earns the right to act.
Graduated rollout: low-risk actions first, with circuit breakers, cost ceilings, and 24×7 SRE coverage for the first quarter.
Agent systems inherit the regulatory perimeter of the data they touch — and the tools they call.
High-volume, rule-bound workflows benefit first.
KYC remediation, dispute resolution, and underwriting copilots that move work through the funnel without breaking SAMA controls.
Multilingual pilgrim concierges, group-coordination agents, and operations agents handling logistics in real time.
Clinical documentation, prior-auth automation, and patient-navigation agents — all under SFDA-aligned governance.
Three layers. Hard-coded action allowlists per role. Cost and rate ceilings enforced by the runtime, not the prompt. And a kill switch wired into our SRE rota — any human on the team can stop any agent inside one minute.
Most don't. Sovereign models handle 80–90% of routine work. The privacy router escalates only when a step explicitly needs frontier reasoning — and only after PII redaction. Frontier traffic is rare by design.
A runtime tuned for sovereign deployment on NVIDIA DGX hardware — Spark, Station, B200. Bundles the model, the orchestrator, observability, and policy router as one deployable unit. Reduces a six-month integration to a six-week one.
Yes, in air-gapped enclaves. Action audit logs are written to write-once storage. Models inherit the classification of their inputs. Defence-grade engagements run under separate keys.
You do. Agent definitions, prompts, eval suites, and tool integrations are work product, delivered with full source. Our runtime is licensed; everything built on top is yours.
Time-saved per workflow against the human baseline measured in shadow mode, plus deflection rate and quality delta on a held-out evaluation set. Reported monthly.
Thirty-minute working session with our Agentic AI lead. We'll trace one of your real workflows and show you where an agent earns its keep.