Orchevo harmonises data, applications and AI agents into one governed ecosystem — build agents once in the Studio, accelerate with ready-made agents and use cases, and run everything with enterprise-grade security, on any boundary you choose. Purpose-built for defence, government and regulated enterprise.
Illustrative workflow — an agent composed on the Studio canvas, governed at every step.
Built by AMI Paradigm Solutions Private Limited — with a use-case library shaped by defence and citizen-services programmes — and delivered with system-integrator partners inside your perimeter.
The middle path enterprises are missing
Public AI tools leak data; bespoke builds stall before production. A governed platform inside your boundary is the third option.
CLOUD AI PLATFORMS & PUBLIC TOOLS
Your data, tools and domain knowledge live in someone else's cloud — under someone else's jurisdiction. No residency, unpredictable costs, and shadow AI wherever there's no sanctioned alternative.
BESPOKE BUILDS
Every team stitches its own stack — ungoverned, unrepeatable, and stalled between proof-of-concept and production. Infrastructure is rebuilt per project.
ORCHEVO
One governed front door for all AI usage — agents built once and reused everywhere, guardrails and audit on every action, running inside the boundary you choose.
Four blocks, one trust spine
Build in the Factory, run as Services — governed by one spine, deployed on Kubernetes.
A plane-by-plane walkthrough of the platform — we'll send it with a short intro call offer.
Why this architecture
The design choices — and what they buy you.
One manifest, every build path
Guided builder, AI builder, visual designer, IDE or bring-your-own-agent — every path compiles to the same declarative agent manifest, versioned in Git and promoted like software.
Production agents are immutable
GitOps promotes dev to staging to production; rollback is a pointer change. What you evaluated is exactly what runs.
No agent calls a model directly
Everything flows through the AI gateway — routing, fallback chains, semantic caching, guardrail rails and audited logging at one choke point.
Safety lives in the runtime, not the model
Sandboxed execution, scoped identity, explicit egress and spend limits — whatever an injected prompt convinces a model to try, the runtime cannot exceed approved permissions.
Zero-copy, permission-aware data
Index in place — embeddings and pointers move, documents don't. The caller's identity travels with every query; agents surface only what their user could open.
Open by standard
MCP for tools and data, A2A for agent-to-agent, ACP for interoperability — external agents join Orchevo workflows, and Orchevo agents serve external orchestrators.
Deploy anywhere — same functionality
On-premises, private VPC, hybrid dual-zone, air-gapped, or a telco-operated sovereign AI cloud — identical platform, different sovereignty postures.
Six components, one platform
Build, accelerate, ground, connect and govern — in a single ecosystem.
Agentic Studio
Build agents and orchestrate multi-agent workflows — visual composition, low-code to pro-code paths, testing before publishing, and human-in-the-loop steps by design.
Agentic Factory
Ready-to-use, customisable pre-built tools and agents — from OCR, speech, translation and document tools to triage, scheduling, certificate-issuance, form-filling and compliance agents — plus owned models with in-perimeter fine-tuning.
Agentic Services
Assembled, field-proven use cases ready to adapt — defence solutions, G2C citizen services, policing (FIR & chargesheet automation), tax operations, RTGS operations, summarisation and translation.
Data Management
Unified ingestion across files, websites, APIs, databases and applications — batch and streaming, federation over duplication, domain ontologies, synthetic data simulators, and grounded, permission-aware retrieval.
Integrations & interoperability
Native MCP, A2A and ACP standards. External agents participate in Orchevo workflows; Orchevo agents serve external orchestrators. Invocable from applications, schedulable on events.
Agentic MartUPCOMING
A marketplace for agents and agentic use cases — discover what others have built, share what you have proven, and deploy across tenants and organisations.
The full agent lifecycle, one platform
Six stages from first idea to governed production — no external tools stitched in.
01
Design
Sketch orchestration on the AI Studio canvas — searchable node palette, typed ports, visual wiring.
02
Build
Connect models, knowledge bases, tools and code nodes; ingest files, websites, databases and APIs.
03
Evaluate
Test cases, LLM-as-judge scoring, RAG quality metrics and regression comparison across versions.
04
Deploy
Promote the versioned manifest through GitOps — dev to staging to production on any Kubernetes cluster; rollback is a pointer change.
05
Observe
Per-run traces with node-level latency, token and cost metrics, alerting, and user feedback.
06
Govern
Policies, guardrails, data lineage, instant revocation, and an immutable audit trail throughout.
AGENTIC STUDIO
Every build path, one governed factory
Business users assemble agents with a guided wizard or describe them in plain language; developers design visual DAG flows, work from IDEs and notebooks, or bring agents built on LangGraph, CrewAI or AutoGen through adapters. Every path compiles to the same declarative agent manifest — model policy, tool grants, knowledge scopes, guardrail bindings, evaluation suite — versioned in Git and promoted like software.
An evaluation harness runs golden sets and red-team probes on every version, an approval gate reviews manifest diffs before promotion, and production traces feed the next revision. Guardrails and human-in-the-loop checkpoints are built into the flow, not bolted on.
The Factory ships a mix of deterministic tools — utility nodes that do one job reliably — and goal-driven agents that reason across several steps. Drop either into a Studio workflow.
PRE-BUILT TOOLS
OCR
Extracts text and structure from scanned documents and images.
Speech-to-Text
Transcribes voice input across supported languages.
Text-to-Speech
Natural voice output for citizen- and field-facing channels.
Translator
Translates and localises content across languages.
Email
Reads, drafts and sends email as a workflow step.
Web Search
Retrieves live results from the web.
Document Parser
Extracts structured data from PDF, DOCX, CSV and more.
Web Scraper
Crawls and extracts content from websites.
JSON Processor
Transforms and validates structured payloads.
Regex
Pattern-matches and extracts from text.
PRE-BUILT AGENTS
Triage & Routing
Classifies each request and directs it to the right queue, department or agent.
Scheduling
Books, prioritises and manages appointments and tasks.
Certificate Issuance
Validates inputs and generates certificates end to end.
Form Filling
Completes forms from documents and citizen or customer records.
Compliance Assistant
Answers policy questions and checks content against defined rules.
Ready-made use cases, proven in the field
Agentic Services ships assembled solutions you adapt to your context — each a customisable starting point, not a fixed product.
DEFENCE
Multilingual defence assistantDocument summarisationSituational-awareness dashboardsEarly-warning alertsVideo analyticsPredictive analyticsCyber-forensics support
PUBLIC SECTOR & CITIZEN SERVICES
G2C Services — 100+ certificationsPolicing — FIR & chargesheet automationTax operations assistantGrievance RedressalCitizen EligibilityDeed MappingDocument TranslationAI for Citizen LendingSmart Road Infra
Use-case templates built on the platform's models — open-source, fine-tuned in-perimeter — not bespoke sector foundation models. Multilingual by default · human oversight where decisions carry weight · evidence trails everywhere — delivered on any boundary, including the Sovereign AI Box.
Built for every role on the team
Clear boundaries between the people who run the platform and the people who build on it.
BUSINESS & PROGRAMME OWNERS
Working AI use cases in weeks, not quarters — assembled from ready-made agents and field-proven services, customisable without a rebuild.
DEVELOPERS & SOLUTION TEAMS
Compose and customise agents across low-code and pro-code paths — or bring agents built elsewhere through open adapters.
ADMINISTRATORS
Manage tenants, users, models and policies from one console, inside strict isolation boundaries with per-tenant quotas and controls.
OVERSIGHT FUNCTIONS
Security, audit and compliance get evidence of control rather than assurances — audit trails, lineage, evaluations and explainability they can verify.
Engineered for production
Hard targets, not aspirations — the platform ships against these numbers.
99.9%
Production uptime SLA, 24×7
<2s
P95 API response time under load
<300ms
Hybrid knowledge-retrieval latency
<50ms
LLM router overhead per request
Encryption at rest. AES-256 for all secrets and sensitive fields, or bring your own secrets vault.
Enterprise authentication. SSO with RBAC, short-lived JWT sessions, and MFA enforced in production.
Data residency. No citizen or PII data ever leaves the deployment boundary.
Security hardening. OWASP Top 10 compliance; zero critical or high CVEs before go-live; signed images and SBOMs for everything entering the registry.
Immutable audit. Every prompt, retrieval, tool call and human decision logged in-perimeter, with 90-day minimum retention.
Full traceability. OpenTelemetry traces stitch user → agent → tool → gateway → inference → GPU in one drill-down; cost per agent, per tenant, per GPU.
Standards-aligned governance. Aligned to MeitY guidelines and ISO standards; explainability and agent cards mapped to the EU AI Act and NIST AI RMF.
Defence in depth. Three-layer guardrails — input rails at the gateway, runtime policy checks, output governance — plus sandboxed execution and confidential computing for data in use.
Open-source LLMs served in-cluster with provider-agnostic routing — and fine-tuned entirely in-perimeter, with weights you own outright. No cloud dependency required.
SOVEREIGNTY
Your agents. Your perimeter. Your terms.
Agents run inside the customer's perimeter — zero data egress.
Sovereignty
On-premises, private VPC, hybrid dual-zone, air-gapped — or the self-contained Sovereign AI Box. Data and models stay inside your jurisdiction, with governance aligned to MeitY guidelines.
Partner-led motion
System-integrator channel for delivery; source-available agents the customer owns.
Flexible pricing
Per-environment licence for sovereign installs; consumption billing for multi-tenant SaaS.
Build on your own, co-deliver with us, or go through your integrator — you own the agents either way.
01
Your team on the platform
Your developers build in AI Studio with full control — any registered model, your knowledge bases, your tools. Agents are source-available artifacts your organisation owns outright.
02
Co-delivery with AMI Paradigm Solutions
Our engineers stand up the platform inside your perimeter, co-build your first agents, handle compliance sign-off with your team, and hand over full ownership.
03
Through your integrator
A system-integrator channel delivers Orchevo as part of your wider programme — the platform deploys in your environment and the agents remain yours.
Frequently asked questions
The questions technical evaluators ask first.
What does sovereign deployment mean?
Orchevo runs entirely inside the boundary you choose — on-premises, private VPC, hybrid dual-zone, air-gapped, or the self-contained Sovereign AI Box. No data egress, no cloud dependency, and no citizen or PII data ever leaves the deployment boundary.
Does Orchevo require internet or cloud access?
No. Orchevo deploys fully on a private Kubernetes cluster with no cloud dependency. Open-source models are served locally, and the entire stack — database, vector store, object storage, identity — is self-hosted.
Which models does Orchevo support?
Open-source models served in-cluster on vLLM, alongside closed-source providers — all behind one AI gateway with routing by task, cost and data classification, fallback chains and semantic caching. Models can be fine-tuned entirely in-perimeter, with weights your organisation owns outright.
How do agents connect to tools and other agents?
Through open standards: MCP for tools and data via a governed gateway, A2A for agent-to-agent collaboration, and ACP for interoperability. Agents built on LangGraph, CrewAI or AutoGen join Orchevo workflows through adapters — and Orchevo agents can serve external orchestrators.
How does Orchevo keep agents safe and compliant?
Configurable guardrails — PII detection and redaction, prompt-injection defence, topic restriction, content safety and source grounding — plus governance policies, data lineage, instant agent revocation, and an immutable audit log of every action.
How much does Orchevo cost?
Orchevo is priced by environment, not by seat. Sovereign installs (on-premises, private VPC, air-gapped, Sovereign AI Box) are licensed per environment for predictable cost; multi-tenant SaaS is billed on consumption. Every deployment includes the full platform. See pricing & licensing or contact us for a sizing and quote.
Is Orchevo aligned with MeitY and DPDP requirements?
Yes. Governance is aligned to MeitY guidelines and ISO standards, with compliance tagging on workflows for audit traceability. PII detection and redaction, data-residency enforcement and immutable in-perimeter audit support DPDP Act obligations — and no citizen or PII data ever leaves the deployment boundary you choose.
How is Orchevo licensed?
A per-environment licence for sovereign installs, or consumption-based billing for multi-tenant SaaS deployments.
Bring agentic AI inside your perimeter.
Tell us about your environment and we'll set up a demo. We reply within one business day.