Every part of running AI in a company, wired into one governed control plane.
One gateway for every model, composable pipelines, and apps your whole team builds in plain language — on infrastructure you own.
Screenshots are from the live console running a demo bank tenant (synthetic Indian-BFSI data).
The heart of it: anyone on the team describes what they need in plain language and gets a governed app back — no platform-team ticket, no code. Each app is a five-screen lifecycle (build → input → running → review → reports), tested in a sandbox before it touches anything real, and bound to a pipeline so it inherits every rule automatically.
- The Studio — one place to build both single-step agents and multi-step workflows; describe the job, get a working governed app.
- The five-screen lifecycle — every app carries its own build, input, run-monitor, human review, and reports surfaces.
- Human-in-the-loop — anything that needs a person pauses for one; they approve or reject and the run resumes on its own.
- Composable tools — apps call registered tools and other apps, plus primitives (web search, read-url); arbitrary action is refused by default.
The chokepoint that ends Shadow AI and makes everything else governable: one OpenAI-compatible endpoint to route, govern, observe, and halt every model call.
- AI Gateway — a single endpoint for every model call: one place to route, govern, observe, and kill.
- Guardrails (PII + injection) — every prompt is screened for sensitive data and prompt-injection before it reaches a model.
- Policy (RBAC + ABAC) — deny-overrides access decisions: who can use which model, data, and tool, provably enforced.
- Identity & SSO — Google, Microsoft, and enterprise SSO (SAML/OIDC); enterprise login with no bespoke user store.
- Secrets management — env by default, a hardened vault for production; no plaintext keys anywhere, rotated centrally.
- Append-only audit + SIEM — every model call, tool call, and byte of egress on one immutable record; ship it to your SIEM for search and dashboards.
- Kill switch — one control halts all AI org-wide, the switch a board signs off on.
Agents answer from your SOPs and playbooks, not the model's guesses.
- Org knowledge base — a versioned knowledge base over your own content; embedded on-disk, or a dedicated vector store at scale.
- Retrieval router — detects intent and queries the right source (knowledge base, database, or tool), with provenance on every hit.
- Grounding & citation checks — verifies each claim against its sources, so hallucination is caught before it ships.
- Response cache — exact and semantic caching cuts cost and latency on repeated prompts.
- Model routing — smart, conditional, geo-aware routing across models, with a cloud leash you control.
Automated QA that answers: are they working, and if not, which one regressed and when?
- Offline evals — golden-set recall plus assertion matrices and retrieval metrics; regression-test agents before release.
- Online scoring — a model-as-judge scores live traffic for quality and faithfulness and trends it over time; a falling score is your alarm.
- Drift & degradation — population-stability and test suites detect distribution shift and quality decay.
- Live observability — traces, metrics, and per-call cost per user, team, and project.
Prove what was produced, by whom, unaltered.
- Signed exports — every report carries a detached ed25519 manifest, offline-verifiable with only a public key.
- C2PA content credentials — industry-standard signed manifests embedded in generated images.
- Sigstore attestation — keyless signing of artifacts with a public transparency-log trail.
- Data lineage — a queryable source → chunk → answer graph explains where any answer came from.
The substrate for agents that act, not just answer.
- Sandboxed code execution — agent-authored code runs in an ephemeral, network-isolated, resource-capped container; off by default, gated by policy.
- Durable workflows — multi-step agents survive a crash and resume, the floor for trusting autonomy.
- Tool registry — agents call only registered, scoped tools; arbitrary action is refused by default.
- Feature flags — toggle modules and capabilities per tenant or environment, with instant rollback.
Turn the audit trail into the documents they actually ask for.
- Report packs — DPDP / RBI / SEBI / IRDAI-aligned packs generated from the audit record.
- Governance registry & DPIA — model risk becomes a tracked, board-level line item.
- Multi-tenant + data residency — per-tenant isolation and on-prem deployment keep data where the law requires.
Where people meet the agents and you keep control.
- FinOps + virtual keys — issue keys with budgets; per-user and per-project cost and chargeback, no surprise token bills.
- BI / data exploration — explore usage and data in built-in dashboards, without exporting it.
- Agents & reports — pre-built use cases (claims/FNOL, KYC, SOP synthesis) ready to run and govern.
- Fleet control (coming soon) — provision, govern, and observe every AI-enabled device from one console; agent-enrolled inventory works today, full device control is coming.
