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Enterprise AI

ReliableAIforthedecisionsyourenterpriserunson.

Synq is the AI context layer beneath enterprise AI, grounding every model in your institutional knowledge so it acts with the judgment of your best people.

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An AI context layer sits between your enterprise systems and your AI agents, turning scattered data into a governed enterprise knowledge graph. Synq grounds every model in that context with full provenance, so agentic AI acts on how your business actually works. Deployed inside an enterprise in 30 days.

Context Plane illustration -- asset pendingDrop enterprise-context-plane.png into public/images/enterprise/ to reveal

Synq Context Plane -- source tiles, knowledge graph, agent terminals

Provenance: verified

We turn models into systems that know your business.

Ground any model in your enterprise knowledge graph with full provenance and traceable reasoning, from source document to agent output.

CRM

ERP

DOCS

SynqbridgesthegapbetweenAImodelsandbusinessoutcomes.

Synq connects every model to your enterprise knowledge graph, so agentic AI reasons with your institutional context instead of generic training data, acting on what your organisation actually knows.

Synq Work

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Trusted by teams putting AI into production.

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IN THE FIELD

Enterprise AI, proven where context is not optional.

ENTERPRISE

How context grounds agentic AI in regulated workflows

A field note on deploying reasoning systems where every decision must be traceable.

RESEARCH

Grounding clinical AI in institutional knowledge

Why context, not scale, is the harder problem in high-stakes domains.

ENTERPRISE

Provenance as a requirement, not a feature

Notes from environments where an ungrounded answer is not an option.

COMPANY

Building the context layer for critical systems

How we think about reliability when AI touches physical infrastructure.

RESEARCH

What frontier labs get wrong about enterprise context

Model capability and institutional grounding are not the same problem.

ENTERPRISE

Context at the edge of the production line

Bringing institutional knowledge to where operational decisions actually happen.

COMPANY

Designing for traceable reasoning at scale

A look at the architecture behind full-provenance AI outputs.

ENTERPRISE

When the cost of a wrong answer compounds

How grounded context changes the economics of automated decisions.

TRACK RECORD

What we have actually shipped.

Not projections or estimates. Real systems, live in production, running inside real enterprises today.

SYSTEMS SHIPPED

Live production systems shipped across three enterprises.

ENTERPRISES

Enterprises running Synq in production today.

FUNCTIONS AUTOMATED

Business functions automated: operations, commercial, data and IoT.

PILOTS

Pilots. Everything listed is live.

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DON'T JUST TAKE OUR WORD FOR IT

Synq automated the operational backbone of our business: complaint raising, query resolution, POC management, lease-expiry tracking, legal document preparation, and centre-wise finance MIS. Work that used to be manual now runs itself, grounded in how we actually operate.

Pratik Sud, Founder, Synq Work

EveryonehasAI.Fewhavecontext.

Generic AI gets smarter for everyone, all at once. Synq is the AI context layer that gets smarter about your organisation specifically, so agentic AI acts on what your enterprise actually knows, not on what the wider internet happens to know.

Context Layer

TheAIcontextlayerthatgroundseverymodelinyourinstitutionalknowledge,withprovenancefromsourcetoanswer.

Enterprise Knowledge Graph

Yourorganisation'sknowledge,structuredintoalivingenterpriseknowledgegraphthatmodelsentities,relationships,anddecisions.

Agentic Execution

AgenticAIthatactsongroundedcontext,executingmulti-stepworkwithjudgmentyourteamscanauditandtrust.

THE PLATFORM

Powered by the Synq platform.

One workspace for ingesting sources, structuring context, and grounding every model your teams run.

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Model agnostic

Bring any model. Synq grounds it in your context, so you are never locked to one provider.

Governed and audited

Every retrieval and agent action is permissioned, logged, and traceable end to end.

BUILT TO BE TRUSTED

Security, oversight, and sovereignty by design.

Control over your data, visibility into every decision, and the option to run entirely within your own environment.

Core protections

Human approval gatesAudit trails and provenanceRole-based accessData isolation and residency

Security and compliance

Encryption, access controls, and audit trails built into every layer of the platform.

Reliable agentic execution

Agents operate within clear guardrails, with every action logged and reviewable.

Model agnostic flexibility

Swap models freely without losing your context layer or your governance controls.

QUESTIONS

Common questions.

What is an AI context layer?

It is the tier between enterprise data and AI agents that turns raw information into governed business meaning a model can act on, covering what the data means, which source is authoritative, who may see it, and how an answer was reached.

How is a context layer different from RAG?

Plain retrieval fetches similar text and pastes it into a prompt. A context layer adds an enterprise knowledge graph, provenance, freshness, and permissions, so retrieval follows real relationships and every answer is traceable and governed.

What is an enterprise knowledge graph?

A structured model of an organisation's entities, relationships, and decisions, built from its real systems and documents, so an AI system can follow explicit relationships instead of guessing at them.

How long does deployment take?

Synq is deployed inside an enterprise in 30 days.

Win the race with context, not just compute.

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