Trusted AI that understands your knowledge and acts under your control.
SutraAI turns enterprise and government knowledge into AI assistants and agents that reason across connected information, use governed tools, and operate across web, WhatsApp and voice — with tenant isolation, PII protection and full auditability built into every response.
- Agentic GraphRAG — vector search + per-tenant knowledge graph
- Governed agents with tool use, workflows and agent teams
- Tenant isolation, RBAC, MFA and PII masking by default
- Answer lineage: every chunk, node, tool and model is traceable
- Enterprise knowledge
- GraphRAG
- AI agents
- Governed actions
- Trusted outcomes
Why SutraAI
More than a chatbot. A governed intelligence layer.
Most AI tools answer from isolated snippets with little context and little control. SutraAI reasons over how your information connects, acts through governed tools, and makes every response explainable.
Traditional AI
- Answers from isolated snippets
- Limited, single-shot context
- Little control over what it does
- Isolated, one-off interactions
- Hard to explain or audit
SutraAI
- Understands organisational knowledge
- Reasons across connected information
- Acts through governed, least-privilege tools
- Maintains context across a conversation
- Explains every answer with full lineage
- Operates consistently across channels
The platform
One platform, from knowledge to governed action
SutraAI unifies retrieval, agentic actions and governance so your assistants are accurate, capable and safe.
Agentic GraphRAG
Answers combine vector search with a per-tenant knowledge graph, so the assistant reasons over how things connect — not just isolated snippets. A reasoning router picks the right strategy per question.
Governed agents
A governed agent securely calls your live systems using per-tenant credentials, within enforced iteration, cost and timeout budgets — combining static knowledge with real-time data in one answer.
Governance by default
Real-time PII masking, a prompt-injection firewall, per-tenant model routing, and end-to-end lineage of every chunk, node, tool and model used to produce a response.
Multi-tenant by design
Strict logical isolation for vector data, knowledge graphs, credentials and model routing — so one tenant’s data or configuration can never reach another.
Platform capabilities
The full stack for governed AI
Intelligence, agents, knowledge, memory, channels and governance — each capability labelled with its honest maturity.
Intelligence
Retrieval that reasons over how your knowledge connects — not just keyword matches.
- Agentic GraphRAG
- Vector search + knowledge graph
- Entity & relationship extraction
- Reasoning query router
- Model routing across providers
Agents
Governed agents that call your systems safely, within enforced budgets and boundaries.
- Governed ReAct agents
- Least-privilege tool execution
- Conversational workflows
- Agent teams (multi-agent)Beta
- Human-approval gates for high-impact actionsBeta
Knowledge
Bring documents and live sources into a governed, per-tenant knowledge base.
- Document ingestion (PDF, DOCX, XLSX, CSV, TXT)
- Chunking, embeddings & graph extraction
- Web scraping & knowledge acquisition
- Live data connectors (REST / DB)
Memory
Context within a conversation, plus tenant-scoped corrections that shape future answers.
- Conversation context
- Human corrections & overrides
- Feedback captureBeta
- Long-term organisational memoryRoadmap
Channels
One governed intelligence layer, delivered wherever your users are.
- Web widget & embed
- WhatsApp BusinessBeta
- Telephony voice AIBeta
Governance
Every response passes through the same enforced controls — no exceptions.
- Per-tenant isolation
- RBAC + MFA (TOTP)
- Real-time PII masking (fail-closed)
- Prompt-injection firewall
- Audit logs & answer lineage
- Model governance
Capabilities without a badge are Generally Available. Beta capabilities are implemented and enabled per tenant; Roadmap items indicate product direction, not current availability.
The intelligence layer
Agentic GraphRAG: retrieval that reasons
Vector-only RAG finds passages that look similar to a question. SutraAI also builds a per-tenant knowledge graph of entities and relationships, then routes each question to the right strategy — so it can answer both precise lookups and broad, connected questions.
- Documents & sourcesFiles, web pages, connectors
- Knowledge extractionChunking + embeddings
- Entities + relationshipsPer-tenant knowledge graph
- Vector index + graphTwo complementary indexes
- Reasoning routerLocal vs. connected questions
- Governed agentGuardrails + tools
- Answer / actionWith full lineage
Vector-only RAG
- Retrieves passages similar to the query
- Struggles with broad, connected questions
- No model of how entities relate
SutraAI Agentic GraphRAG
- Combines vector search with a knowledge graph
- Routes each question to vector, graph, or hybrid
- Synthesises across connected entities
- Returns lineage for every answer
Governed AI
AI you can control, understand and trust
Governance is built into the core of SutraAI, not bolted on. The same enforced controls apply to every response, on every channel.
Tenant isolation
Vector data, knowledge graphs, credentials and model routing are strictly scoped per tenant — enforced in code and covered by isolation tests.
RBAC
Granular roles and permissions enforced at the route and action layer. Authenticated is never the same as authorised.
MFA
TOTP multi-factor authentication with encrypted secrets. Startup fails closed if key material is missing in non-dev.
PII protection
Real-time masking on inputs and outputs, configurable per category, fail-closed on output. Only counts and hashes are persisted — never raw PII.
Prompt-injection defence
Retrieved and tool content is structurally wrapped as untrusted data, so it can never override system instructions.
Model governance
All model calls go through a central router. Platform-managed models are locked; bring-your-own is scoped per tenant.
Audit trail
Immutable audit logs across the platform, recording what happened without capturing sensitive content.
Data lineage
Explain any response: which chunks, nodes, tools and model produced it.
Controlled tool access
Tools are per-tenant, least-privilege and read-only by default. Write-capable actions require explicit authorisation and audit.
Multi-channel AI
One governed intelligence layer, every channel
The same knowledge, reasoning and governance power every channel — so answers and controls stay consistent wherever your users reach you.
Web
Embeddable widget and full-page chat with the complete governed pipeline.
WhatsApp Business as a governed channel, with tenant capability control and webhook security.
Voice
Telephony voice AI for conversational inbound and outbound calls, feature-flagged per tenant.
Voice AI
Governed voice, from chat to phone calls
SutraAI supports conversational voice in the assistant and a dedicated telephony pipeline for real phone calls — both reusing the same knowledge and governance.
Chatbot voice
Speak to the assistant in supported channels, backed by the same GraphRAG answers and governance as text.
Telephony voice
A dedicated pipeline for inbound and outbound phone calls — real-time STT/TTS, barge-in, DTMF fallback and warm transfer to a human agent.
Telephony capabilities
10 supported languages
The voice language set covers 10 languages — 9 Indian languages (Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam) plus English and Spanish, with in-call language switching.
Telephony voice is feature-flagged per tenant and enabled during onboarding. Latency and campaign performance depend on your telephony and speech providers.
WhatsApp AI
A governed AI channel on WhatsApp
Bring the same knowledge, reasoning and governance to WhatsApp Business — every message flows through tenant capability control and the governed pipeline.
- Customer messageWhatsApp Business
- Tenant capability controlFeature-flagged per tenant
- SutraAI pipelineGovernance + routing
- Knowledge + GraphRAGGrounded retrieval
- Governed responsePII-masked, lineage-logged
WhatsApp connectivity uses your provider credentials (e.g. Twilio) with webhook signature verification. Enable per tenant during onboarding.
Memory & continuous improvement
Context today, learning on the roadmap
SutraAI maintains context within a conversation and lets your team correct answers so improvements take effect immediately. Self-learning is a deliberate roadmap direction, not a claim we make today.
Available now
- Conversation context across a session
- Human corrections that override future answers (per tenant)
- Feedback capture on responses (beta)
- Knowledge updates via re-ingestion
On the roadmap
- Long-term, cross-session user memory
- Organisational memory across teams
- Automated learning from feedback signals
AI operations
Know what your AI is doing
Enterprise buyers need visibility, not a black box. SutraAI records per-run traces and governance signals so you can see how answers are produced and what they cost.
Per-run tracing
Every agent run records per-step latency, tokens, cost, model and tools used.
Cost & token metering
Real per-run token and cost accounting, with enforced per-tenant budgets.
Audit & lineage
Immutable audit logs plus per-response lineage of chunks, nodes, tools and model.
Guardrail signals
PII counts, injection detections and grounding verdicts recorded per run.
Usage analytics
Analytics on usage, model performance and error rates across the platform.
Feedback
Capture response feedback to inform quality reviews and corrections.
Aggregated dashboards continue to expand; signals above are recorded at the platform and per-run level today.
Solutions
Built for real organisational work
Not a list of industries — actual workflows across enterprise and government.
Government knowledge assistant
Answer citizen and staff questions from policies, circulars, notifications and schemes — grounded in source documents with lineage.
- Policies · circulars · schemes
- SutraAI GraphRAG
- Trusted answers with sources
Employee / HR assistant
Resolve HR, leave, benefits and payroll questions from internal documents — with PII masking and audit on every response.
- HR policies · benefits · payroll
- Governed assistant
- Personalised, governed response
Citizen services
Handle citizen questions through retrieval and reasoning, responding in the citizen’s preferred supported language.
- Citizen question
- Knowledge retrieval + reasoning
- Response in a supported language
Enterprise operations
Combine documents, live systems and workflows so agents can take actions — with human approval required for high-impact steps.
- Documents + systems + workflows
- Governed AI agents
- Automated actions · human approval where required
Getting started
Live in four steps
A guided path from sign-up to a deployed, monitored assistant.
Sign up & onboard
Self-serve registration or a guided onboarding assistant provisions your workspace, vector store and first API key.
Configure your AI
Pick a platform-managed model or bring your own. Set your assistant’s name, tone and guardrails in minutes.
Add knowledge & workflows
Upload documents, connect live systems and define conversational workflows. We build the index, graph and workflow engine automatically.
Deploy & monitor
Embed the widget, connect WhatsApp, or enable voice — then watch usage, traces and answer lineage from the dashboard.
How SutraAI works
One platform, from channel to trusted outcome
Users reach SutraAI across channels. Every request flows through knowledge, agents and governance, grounded by GraphRAG and served by governed models.
Users, across channels
SutraAI platform
Knowledge
Documents, connectors and web sources, indexed per tenant.
Agents
Governed reasoning and tool use within enforced budgets.
Governance
Isolation, PII, injection defence, audit and lineage.
Security & governance
Enterprise governance, from day one
Most platforms bolt on safety later. SutraAI is built around it — every answer passes through the same governed pipeline.
Per-tenant isolation
Vector data, knowledge graphs, credentials and model routing are strictly scoped per tenant.
Real-time PII masking
Configurable redaction/tokenisation on inputs and outputs, fail-closed to protect sensitive data.
Prompt-injection firewall
Untrusted content is treated as data, never instructions — with a baseline rule that can’t be disabled.
Answer lineage & audit
Explain any response: which chunks, nodes, tools and model produced it. Immutable audit logs across the platform.
Encrypted secrets
Connector and provider credentials are encrypted at rest and never exposed to models or logs.
Bring your own model
Keep inference on your chosen provider or region to meet residency and cost requirements.
Experience SutraAI
See governed retrieval in action
Ask a question and watch SutraAI retrieve, reason and cite its sources — with PII masking, injection checks and lineage on every response.
Ask anything about the demo knowledge base. Watch how SutraAI retrieves, reasons and cites its sources — governed at every step.
Pricing
Built for your deployment
Start free to explore the platform, then talk to us about an enterprise or government deployment scoped to your knowledge, channels and governance needs.
Explore
Get hands-on with the platform on shared AI infrastructure.
- Self-serve workspace
- Document ingestion & GraphRAG
- Web widget
- Governance controls built in
Enterprise & Government
For regulated, multi-channel and high-governance deployments.
- Bring your own model & region
- WhatsApp & voice channels
- Agent teams, workflows & connectors
- RBAC, MFA, audit & lineage
- Dedicated support
Enterprise pricing is scoped to your deployment. We’ll build a plan around your users, channels, knowledge volume and governance requirements.
Built for real-world AI deployment
What you can build with SutraAI
Illustrative capability scenarios — not customer testimonials. We add named references only when they can be verified and attributed.
Grounded answers with sources
Deploy an assistant that answers from your documents and connected knowledge, with lineage showing exactly which sources produced each response.
Governance your compliance team can inspect
PII masking, tenant isolation, audit logs and injection defence apply to every response — designed for teams where auditability is non-negotiable.
Reasoning across large document sets
Combine vector search with a knowledge graph to answer broad, connected questions across many documents — not just single-passage lookups.
Built for
Security & privacy
Security & privacy by design
Governance is built into the core, not bolted on. Every answer passes through the same controls, with data residency in India.
Encryption
Credentials and secrets encrypted at rest (Fernet); TLS in transit across deployments.
Per-tenant isolation
Vector data, knowledge graphs, credentials and model routing are scoped per tenant.
Real-time PII masking
Configurable redaction/tokenisation on inputs and outputs, fail-closed on output.
Injection firewall
Untrusted content is treated as data; a baseline rule can never be overridden.
Audit logs & lineage
Immutable audit trail plus per-response lineage of chunks, nodes, tools and model.
RBAC + MFA
Granular roles and permissions with TOTP multi-factor authentication.
Standards alignment
🇮🇳 Designed, developed & hosted in India. “Designed to align” and “on roadmap” indicate engineering posture, not formal certification; ISO 27001 and SOC 2 are pursued via independent audit. Contact us for our current compliance documentation.
FAQ
Questions, answered
SutraAI combines vector search with a per-tenant knowledge graph and a governed agent that can call your live systems — so it answers connected, big-picture questions and acts on real-time data, all with built-in privacy, isolation and auditability.
Deploy AI your organisation can trust.
Bring your knowledge, connect your channels, and go live with governance, isolation and auditability built in from the first response.