Book a discovery workshop
The platform

Build, Run, Observe & Govern — on one stack.

Sovereign by design. Pre-built tools and agents. Deployment agnostic. One platform and one policy model, whether it runs in your cloud, your data centre, or behind an air gap.

Sovereign by design

The platform, the models and the data stay inside your perimeter.

Pre-built tools & agents

Domain-trained agents and a governed tool library, ready to use — teams start from a working asset, not a blank canvas.

Deployment agnostic

Cloud, private VPC, on-premises or air-gapped — agents redeploy unchanged.

Orchevo's core components

Three blocks and the substrate they run on.

The Studio deploys independently. The Trust Spine is mandatory in production. The platform capability underneath is the same on every perimeter.

01 · Build

Agent Studio

The agentic factory — where agents are designed, evaluated and promoted.

Deploys independently
  • Low-code, AI-assisted and pro-code builders
  • Blueprint library — pre-built agents with source
  • Bring your own framework (LangGraph, CrewAI)
  • Evaluation, simulation and red-team gates
  • Bring your own agents and integrate
  • Signed CI/CD promotion into production
02 · Run

Orchestration Runtime

The production plane — where one run completes one task.

  • Multi-agent engine — one run completes one task
  • Tool gateway, MCP and pre-built connectors
  • Human approval gates held inside the flow
  • Permission-aware RAG over GovGraph
  • Model gateway — your GPUs first, frontier by policy
  • Memory across run, user and organisation
03 · Observe & Govern

Trust Spine

One set of controls on every action.

Mandatory in production
  • Policy engine and agent registry
  • Identity end-to-end (RBAC / ABAC / SSO)
  • Three-layer guardrails and PII on every run
  • Immutable, exportable audit trail
  • Evaluations running in production
  • Per-agent and per-tenant cost attribution
Platform capability · cross-cutting
Kubernetes foundation · GitOpsGPU scheduling · MIG slicingMulti-tenant namespacesAir-gap registry · signed bundles
Multi-agent orchestration

One run completes a whole task.

Not a chatbot answering one question at a time. A supervisor plans, agents execute across your systems, and humans approve inside the flow — with every step written to the same audit record.

  • Supervisor and DAG engine plan and sequence the work
  • Agents act through a governed tool gateway (MCP, connectors)
  • Approval gates hold the run until the right person signs off
  • Outcome is traceable to its evidence

Live: 727 GST scrutiny cases completed in four days.

  1. Plan

    Supervisor

    Receives the task and plans the run across the agents it needs.

  2. Execute

    Agents across your systems

    Retrieve over GovGraph, call tools and connectors, draft outputs — each under policy and guardrails.

  3. Approve

    Human in the flow

    Approval gates are held inside the run, not bolted on after it.

  4. Record

    Trust Spine

    Immutable, exportable audit trail — for oversight, audit or RTI.

GovGraph knowledge graphs

Retrieval that understands your department — not just your documents.

Domain ontologies and knowledge graphs, grown from decades of public-sector delivery and extended with every department onboarded. Generic copilots stall on file noting, scrutiny rules and scheme logic. Ours were built on them.

Deepens with every deployment

Each department onboarded extends the graph for the next.

Domain-aware retrieval that respects RBAC

Permission-aware RAG over GovGraph, with tenant-scoped knowledge bases.

In use today

Across 500+ government portals.

Pre-built tools & capabilities

The full capability map — eight groups, every one deliverable inside the perimeter.

Document & data

  • IDP / OCR · form & invoice extraction
  • Table & spreadsheet understanding
  • PII redaction & anonymisation

Speech & language

  • STT / TTS for Indian languages
  • Translation across 22 languages
  • Voice bot / IVR interactions

Knowledge & retrieval

  • RAG / enterprise knowledge search
  • Built-in vector database · connectors
  • GovGraph — public-sector knowledge graph, deepening per deployment

Agent build & run

  • Low-code Studio + pro-code SDK
  • Multi-agent orchestration · CI/CD
  • Evaluation & simulation · blueprints

Governance & security

  • Registry & policy engine · RBAC/SSO
  • HITL gates · guardrails on every run
  • Full audit trail & lineage

Models & serving

  • Model gateway — multi-model routing
  • Private serving (vLLM-class) on GPUs
  • Policy-based routing — local first

Deployment

  • True air-gapped operation
  • Signed offline update bundles
  • Audit-verified metering — no phone-home

Ops

  • Observability & run analytics
  • Consumption & cost dashboards
  • Health, capacity & audit reporting

Two capabilities are rare in the field: signed offline updates and audit-verified metering with no phone-home — the machinery that makes disconnected operation routine. Speech and language ship as certified indigenous models served in-perimeter.

The models we run

Certified per release in the Model Gateway — routed per agent, per task, per environment.

The routing rule everywhere: the smallest model that passes the agent's evaluation suite; hard cases escalate. The routing mix is reviewed every release and the certification list refreshed quarterly.

Air-gapped & on-premise

Local models on customer GPUs — zero token bills

Local LLM anchors

  • Qwen3 / Qwen3.6 family — primary anchor (8B → 235B)
  • Llama 4 & 3.x line — broadest open ecosystem
  • DeepSeek V3.2 / V4 — the reasoning anchor

SLM workhorses

  • Qwen3-8B / 14B — default, single-GPU serving
  • Phi-4 / Phi-4-mini — runs even on CPU, 128K context
  • Gemma family · DeepSeek-R1 distilled — small reasoning

Indic sovereignty pack

  • Sarvam line — indigenous LLMs
  • BharatGen Shrutam / Sooktam / Patram — ASR · TTS · documents
  • IndicTrans2 — 22-language translation · Whisper — ASR

Specialists beside every agent

  • BGE / E5 embeddings — the RAG backbone
  • Llama Guard / Prompt Guard — guardrails on every run
  • Rerankers (BGE-reranker class) — precision on retrieval
Connected & cloud

Frontier models via the same Gateway

Gemini as the primary frontier model, through the dedicated public-sector practice with Google (Gemini Enterprise) — for connected estates and cloud deployments.

Alongside: other frontier and open models certified per customer policy — always routed, guarded and audited by the same Gateway and control plane as the offline estate.

Hybrid routing. Connected estates can blend both worlds — frontier models for eligible workloads, local models for sensitive ones — decided per agent by policy, never by accident.
Start where the evidence is cheapest

Begin with a two-week discovery workshop.

Three candidate use cases, scored against your data, your perimeter and your stakeholders. Most departments begin here and are in production pilot within two quarters.

Two weeks · no cost. You leave with:

  • A use-case shortlist, scored and sequenced
  • A data and perimeter assessment
  • A named executive sponsor identified
  • A scoped proposal you can take to budget