Governed AI autopilots for high-stakes operations.
Vyuh connects the systems and rules you already rely on (SAP, asset systems, engineering tools, standards, databases, and codebases) into a governed operating graph. Autopilots plan and act only through approved capabilities, with verified evidence and a full audit trail, while people stay in command.
One asset, one identity across every system. No hallucinated matches.
Your agents need more than documents and APIs.
In complex enterprises, the context that matters is scattered across SAP, asset systems, CAD, GIS, historians, control systems, standards, custom databases, and codebases. The same asset, process, requirement, service, or work order appears under different IDs in different systems. Each system is partially right. None sees the whole picture.
That is why raw agent access is risky. Agents guess across systems, hallucinate matches, miss approvals, and leave no evidence trail.
One distillation column. Three systems. Three identities.
Until something resolves them, no agent can know these are the same physical asset.
Vyuh resolves them into one governed operating graph your autopilots can act on.
The three layers agents need before they can work safely
Context, Action, and Verification are the three faces of one governed operating graph. That graph is the product, and every Vyuh use case is built from it.
Map the systems. Resolve the entities.
Vyuh connects the systems you already run and resolves the same assets, objects, requirements, processes, and code across them into one governed operating graph.
- SAP functional locations
- Equipment records
- CAD & GIS tags
- Work orders
- Standards clauses
- Code modules
Approved capabilities, not raw access.
Autopilots never get unrestricted APIs. They get typed capabilities with defined inputs, outputs, preconditions, permissions, and escalation paths.
- Answer a compliance question
- Assess a work order
- Propose a migration unit
- Detect a spatial conflict
- Draft a remediation plan
- Change code within guardrails
Checked before it moves forward.
Every answer, plan, or change is checked against deterministic rules, standards, baselines, and source systems, with a full audit trail and a human in the loop for ambiguity.
- Standards-backed checks
- Human approval for ambiguity
- Net-new regression gates
- Source-level provenance
- Traceable decisions
- Continuous re-checking
From brownfield systems to trusted action
Five steps from the systems you run today to autopilots you can trust. Vyuh maps the complexity you already have, with no rip-and-replace.
Connect what you already run
Vyuh connects to SAP, asset systems, engineering tools, historians, control systems, standards, databases, documents, and codebases. You don't replace your current systems.
Build the governed operating graph
Vyuh resolves the same assets, services, requirements, work orders, code objects, and business entities across systems into one governed operating graph.
Bind rules, policies, and approvals
Standards, permissions, approvals, deterministic checks, and escalation paths attach directly to the operating graph.
Give autopilots approved actions
Autopilots work through typed capabilities instead of raw APIs. They answer, check, plan, and propose changes only where they're allowed.
Verify and audit every result
Every output traces back to source systems, rules, standards, baselines, and approvals. Ambiguity escalates to a person instead of being guessed.
One platform, across your hardest workflows.
SAP modernization, regulated operations, asset lifecycle assurance, and the grid, all on the same governed operating graph. We prove it on one workflow, then expand to the next.
Move toward Clean Core, safely
Map custom code, OData services, Fiori apps, dependencies, and migration units across a live SAP system, then turn that into a plan autopilots and teams can execute.
Working AI apps for high-stakes industries
The applied AI lab for regulated industry. Bring one hard problem and we ship it with you, grounded in your codes and standards, on real data, in weeks.
From digital twin to trusted action
Connect the digital thread (engineering, ERP, maintenance, historian, controls, sensors, and standards) into one governed operating graph so autopilots can validate work, detect conflicts, and produce cited decisions across the lifecycle.
Make grid codes and standards usable by AI
A utility's codes, standards, tariffs, and orders live in a dozen places and a few people's heads. Vyuh reconciles them into one governed operating graph and answers with deterministic, clause-cited rules a regulator can reproduce.
Built for high-stakes environments
Vyuh is not a demo wrapper around an LLM. Safety is the architecture, not a filter bolted on after.
No raw agent access
Autopilots call approved capabilities, never unrestricted APIs. The undefined action does not exist.
Deterministic where it matters
Standards checks, policy gates, scoring, and baselines run outside the model's decision path, not inside a prompt.
Human approval paths
Ambiguous or high-impact decisions escalate to a person instead of being guessed.
Full audit trail
Every answer and action links back to source systems, rules, evidence, and approvals.
Brownfield-safe
Vyuh works with the systems and technical debt you run today. Existing complexity is mapped, not ignored.
Continuous assurance
Decisions are re-checked as systems, models, standards, and code change, so trust holds over time.
Put a governed autopilot to work.
Bring one high-stakes workflow. We connect your systems, resolve them into one governed operating graph, bind your standards, and ship an autopilot that acts within approved bounds, on real data, in weeks.