Open for Early Access

From existing systems to
AI agents

Connect your enterprise systems. Vyuh extracts the ontology — schemas, entities, capabilities, data flows — and builds a governed semantic model your agents can reason through.

vyuh
$vyuh connect sap-s4hana
Discovering OData services...
3,544 services extracted
$vyuh extract --ontology
Mapping entities, relationships, data flows...
Ontology built. 2,048 entities matched to standards.
$vyuh resolve --cross-system stripe
Reconciling overlapping entities...
Invoice (SAP) ↔ Payment (Stripe) resolved.
$vyuh deploy --governed
Agent ready. Governed capabilities active.

From raw systems to a governed semantic model

AI agents fail in the enterprise because business objects are fragmented across systems, definitions are tribal knowledge, and raw API access is ungoverned. Vyuh solves this with structure extracted from the source.

01

Connect

Point at your systems. SAP, Stripe, Salesforce, internal APIs. Standard interfaces — nothing to install on your infrastructure.

02

Extract

Vyuh discovers every schema, entity, capability, and relationship inside each system. The structure that took years to build — mapped in minutes.

03

Resolve

An invoice in SAP and a payment in Stripe are the same business event. Vyuh recognizes overlapping entities and reconciles them into a single canonical model.

04

Govern

Your agents don't get raw API access. They get a governed capability layer — permissions, approvals, audit trails. Only what you approve.

05

Reason

AI agents work across your full system landscape through one model. Not one system at a time — all of them, together.

Why agents fail without business context

Fragmented entities

A "customer" in SAP has 95 fields. In Stripe, 31. In Salesforce, 68. Same person — no system knows that. Agents can't reason across what they can't reconcile.

Tribal knowledge

Business definitions live in people's heads, not in APIs. Revenue means something different to finance and marketing. Agents that lack this context hallucinate confidently.

Ungoverned access

Raw API access fails open. Agents can read sensitive data, trigger destructive actions, and produce non-deterministic results. Compliance requires structure, not guardrails bolted on after.

See it working

The ontology compounds

Every system connected enriches the model. More connections, more bridge fields, more resolution paths. What starts as SAP migration intelligence becomes the semantic layer across your full enterprise landscape.

Linear, not quadratic

Map each system once to the canonical space. System #11 resolves against all 10 existing systems with one new mapping.

Structurally verifiable

Plans are transparent artifacts — every step, every field mapping, every bridge is inspectable. Not a black box.

Governed by default

Agents get capabilities, not raw access. Permissions, approvals, and audit trails are built into the model, not layered on top.

Interested in early access?

We're working with a small number of design partners to validate cross-system deployments.