Sovereign AI infrastructure for regulated enterprises

The AI infrastructure your compliance officer can say yes to.

Sovorix is the on-prem-first infrastructure layer for banking, healthcare, and manufacturing. Local-by-default inference, permission-aware knowledge, and sandboxed automation — where every access, model call, and action is scoped, logged, and checkable. Nothing sensitive leaves your walls.

You don’t have to trust us. You can check us.

The pilot that never reaches production

Your data is ready for AI. Your firewall isn’t ready to let it leave.

Sensitive data can’t leave the building.

Cloud AI means shipping regulated data to someone else’s servers. For a bank or a hospital, that’s a non-starter before the pilot begins.

Cost you can’t predict.

Token bills swing wildly, and finance can’t sign off on a number nobody can forecast.

Decisions no one can audit.

When an AI acts, someone has to answer for it. Most AI leaves no trail an examiner can read.

The bet

AI adoption isn’t stalled by capability. It’s stalled by trust.

The models are already good enough. What’s missing is a way to run them where a compliance officer can say yes — sovereign, predictable, and provable. That layer doesn’t exist yet. We’re building it: the trusted infrastructure underneath your AI, not another app on top of it.

The platform

One layer. Three guarantees enterprises can’t get anywhere else.

Routing

On-prem-first orchestration.

Every task runs where it should. Sensitive work stays on your own models by default; only sanitized, non-confidential reasoning ever reaches an external model — and only when a task genuinely needs it. Sovereignty and predictable cost, in one move.

Knowledge

Permission-aware knowledge.

Your organization’s knowledge, scoped to each person. A junior’s assistant can’t reach the C-suite’s data — enforced at retrieval, by construction, not by a policy you hope holds.

Automation

Sandboxed, verifiable automation.

Agents that take real actions, inside a sandbox that decides whether they should. Untrusted input is read by a low-privilege model first; every high-risk action is checked against your rules before it fires, and handed to a human when it isn’t clear.

Architecture

The layer underneath — drawn to the scale of what it protects.

Any framework plugs in on top. Sovereignty, permissions, and proof come from beneath — inside your firewall.

  1. Interfaces — pluggable, not ours. Any agent framework or open UI plugs in.
  2. Control plane — deterministic. Task-aware router + policy engine with signed rules.
  3. Three pillars. Orchestration · permission-aware knowledge · sandboxed automation.
  4. Serving runtime — inside your firewall. Local models by default; stores for knowledge, secrets, and a write-once audit trail. The cloud plane sits outside, reachable only through the sanitizing egress gate.

Where a request goes— the only sequence on this page that is one

Request flow: a request is classified by task type and data sensitivity; sensitive or local-capable work routes to local models inside the firewall by default; only genuinely hard, non-confidential work is sanitized at the egress gate and crosses to the cloud plane. INSIDE YOUR FIREWALL 01 REQUEST 02 CLASSIFIERTASK TYPE · SENSITIVITY 03A LOCAL MODELS — DEFAULTSENSITIVE WORK STAYS INSIDE 03B SANITIZE CLOUD PLANEONLY WHEN GENUINELY NEEDED ONLY SANITIZED, NON-CONFIDENTIAL REASONING CROSSES Request flow, portrait view: a request is classified; sensitive or local-capable work stays on local models inside the firewall by default; only sanitized, non-confidential work crosses the egress gate to the cloud plane. INSIDE YOUR FIREWALL 01 REQUEST 02 CLASSIFIERTASK TYPE · SENSITIVITY 03A LOCAL MODELS — DEFAULTSENSITIVE WORK STAYS INSIDE 03B SANITIZE ONLY SANITIZED, NON-CONFIDENTIAL REASONING CROSSES CLOUD PLANEONLY WHEN GENUINELY NEEDED

Open by construction. Every enforcement component is open source and runs inside your walls — auditable down to the policy engine.

  • POLICYOpen Policy Agent · signed, version-pinned bundles
  • SERVINGvLLM / SGLang · on your GPUs
  • MODELSopen weights — Llama · Qwen · GLM · your choice
  • ORCHESTRATIONLangGraph · human-in-the-loop checkpoints
  • SCREENINGLlama Guard 3 · LlamaFirewall
  • SANDBOXgVisor / E2B · least privilege
  • KNOWLEDGEgraph + vectors · IAM-scoped at retrieval
  • AUDITWORM store · write-once, examiner-readable

Verifiability by construction

Every action clears the gate before it fires.

Not a diagram — the path every action actually takes. An agent proposes an action; it’s checked against your policy and the actor’s permissions; it clears, or it’s held for a human, with the reason on the record. Nothing fires until it clears, and the record exists because the check did. Policies are version-pinned and cryptographically signed; every decision lands on a write-once audit trail.

VERIFICATION TRACE
The gate: a proposed action is checked against policy; it clears to execution, or is held for human review — and every branch, cleared or held, ends on the audit record. PROPOSED CHECKED YOUR POLICY · SIGNED CLEARED HELD HUMAN RECORDED The gate, portrait view: a proposed action is checked against policy; it clears to execution, or is held for human review — and every branch, cleared or held, ends on the audit record. PROPOSED CHECKED YOUR POLICY · SIGNED CLEARED HELD HUMAN RECORDED

REC #A-58291 · wire_transfer.approve · rule POL-114 dual-approval · actor priya.k · 14:32:11 IST · cleared → executed

Example cleared action: wire transfer approval passes policy, scope, and clearance checks, executes, and is recorded. Example held action: a bulk customer-PII export exceeds policy limits, is held for a named human reviewer, and the hold itself is recorded with the reason.

Inside the gate — reader/doer separation

The trace above is the simplified motion version of this. Untrusted input never touches a privileged model: a low-privilege reader with no tools digests it first; only its sanitized summary reaches the policy check; only a cleared action reaches the doer — inside a sandbox, with scoped credentials.

Reader/doer architecture: untrusted input goes to a low-privilege reader with no tools, producing a sanitized summary; a signed policy check then clears, holds for human review, or refuses each proposed action; the doer executes cleared actions inside a sandbox; every branch is written to the audit record. UNTRUSTED INPUTMAIL · DOCS · TICKETS READERNO TOOLS SUMMARYSANITIZED POLICY CHECK SIGNED RULES CLEAR HOLD REFUSE HUMAN REVIEWNAMED APPROVER APPROVED SANDBOX — LEAST PRIVILEGE DOERSCOPED CREDENTIALS ACTION STOPPED AUDIT RECORD EVERY BRANCH — CLEARED, HELD, OR REFUSED — LANDS HERE Reader/doer architecture, portrait view: untrusted input goes to a low-privilege reader with no tools; its sanitized summary reaches the signed policy check, which clears, holds for human review, or refuses; the doer executes cleared actions inside a sandbox; every branch is written to the audit record. UNTRUSTED INPUTMAIL · DOCS · TICKETS READERNO TOOLS SUMMARYSANITIZED POLICY CHECK SIGNED RULES CLEAR HOLD REFUSE HUMAN REVIEWNAMED APPROVER APPROVED SANDBOX — LEAST PRIVILEGE DOERSCOPED CREDENTIALS ACTION STOPPED AUDIT RECORD EVERY BRANCH LANDS HERE

What it adds up to.

  • SOVEREIGN

    Nothing sensitive leaves your walls.

  • VERIFIABLE

    Every access, call, and action, on one record you can read.

  • SCOPED

    Everyone reaches only what they’re cleared for.

  • PREDICTABLE

    You know the cost before the token is spent.

Where we sit

Not another agent platform. The layer underneath.

LangChain, Bedrock, and the cloud stacks orchestrate text in someone else’s cloud. Sovorix is on-prem-first and sandboxes action — the infrastructure a regulated institution can actually deploy. Any agent framework or open interface plugs into it; the sovereignty, the permissions, and the proof come from the layer beneath.

Who it’s for

Sectors

  • Banking & BFSI
  • Healthcare
  • Manufacturing
  • Government & PSUs

See it run on your workflow.

A 30-minute walkthrough on your own sovereignty and audit requirements.

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