For OEMs & fleet operators

Verification as an integration layer.

Vantage plugs into the connected-vehicle and asset infrastructure you already run. No new hardware to deploy. It cross-validates every telemetry stream against real-time physics, then hands you auditable, cryptographically signed verdicts you can stand behind in a warranty dispute or a safety review.

PaaS, no hardware Signed evidence bundles Domain-agnostic core
The business case

What verification changes for you.

Warranty

Defend every claim

Signed evidence distinguishes genuine defects from misuse and sensor error, cutting unjustified warranty payouts and recall scope.

Uptime

Predict, don't react

Physics-grounded prediction surfaces failures days ahead, turning unplanned downtime into scheduled maintenance.

Trust

Auditable by design

Every verdict carries a tamper-evident Evidence Bundle. Defensible in safety reviews, regulation, and disputes.

Integration

Layer, not rip-and-replace

Sits on top of your existing data pipeline via API. Weeks to value, not a hardware program.

Scale

One core, many domains

The same verification engine extends from passenger vehicles to industrial and critical assets.

Data

Your data, your control

Verification runs against your streams without surrendering ownership or model transparency.

Where the industry is headed

Regulators and buyers are done trusting black boxes.

Safety-critical AI is moving toward provable, auditable decisions. Verification stops being a nice-to-have and becomes the price of entry. Vantage is built for that world from day one.

From prediction to proof

It is no longer enough for a model to be right. You have to show why it was right. Evidence Bundles make that the default, not an afterthought.

From single-sensor to cross-validated

The next generation of monitoring assumes any one sensor can lie. Vantage was architected on that assumption, inverting the F1 pit-wall principle for safety.

The regulatory tailwind

Regulation is outlawing black-box AI in critical systems.

Across the EU, the UN's vehicle regulations, and India's incoming automotive rules, the direction is identical: decisions made by AI on physical infrastructure must be accurate, logged, auditable, and overseeable. That is exactly the shape of what Vantage produces.

EU AI Act

High-risk AI, phasing in 2026–27

AI used as a safety component in critical infrastructure is classified high-risk: accuracy, logging, transparency, and human oversight become legal requirements, not best practice. Vantage's evidence-first architecture is built for precisely this bar.

EU Battery Passport

Mandatory from February 2027

EV and industrial batteries above 2 kWh will require auditable lifecycle and state-of-health records. Vantage's battery models and tamper-evident evidence chains are designed to feed exactly this kind of verified record.

UN R155 · India AIS-189

Vehicle cybersecurity management

OEMs must run certified management systems that monitor, detect and respond to attacks on vehicles in the field, with logs that support forensic analysis. Vantage supports those obligations: physics-based detection of sensor spoofing and manipulation, and signed evidence for every verdict. India's AIS-189 mirrors R155, with mandatory rules now in draft.

EU CRA · NIS2

Security by design, continuous posture

Europe's product-security and infrastructure rules push manufacturers and operators toward continuous monitoring and provable security posture. We build Vantage and its edge hardware to be CRA-ready for EU deployment, and its audit trail helps you demonstrate your own.

Cross-domain

Start in automotive. Extend anywhere readings can deceive.

Not hypothetically: five verticals already run on the same core, and the second production-grade vertical, an industrial bottling line with 37 telemetry signals and 34 physics-verification rules, was stood up as configuration, with no changes to the platform.

Privacy by architecture

Fleet-wide intelligence, without fleet-wide exposure.

The objection every data-sensitive OEM raises: "We can't pool our vehicles' data." You don't have to. Vantage improves shared models across your fleet through federated learning, the models learn from each asset locally and only the learnings are combined, never the raw data.

No central data lake

No user or vehicle is ever connected to a specific dataset. In a worst-case breach, there is no raw data pooled to expose.

Provable, not promised

Differential privacy on shared updates, secure aggregation so even the operator sees only the combined result, and optional hardware attestation. See the four layers →

On-device option

For commercial fleets running edge-capable hardware, basic anomaly detection can run on the device, so that raw telemetry need never leave the asset. Optional for deployments that add hardware; the default PaaS layer runs in your infrastructure.

Governed self-serve

Your engineers stay in control. The physics keeps them honest.

Vantage is not a black box you file tickets against. Your domain experts tune it themselves, inside guardrails that make every change safe, and provable.

Tune constraints, within physical floors

Thresholds, envelopes, and rule bounds are tunable per tenant, and every change is clamped to hard physical limits. Safety-critical constraints can be locked to view-only.

Every change is on the record

Each edit is attributed and bound into the tamper-evident evidence chain, so "who loosened what, by how much, on which alert" always has a provable answer.

Author new domains without code

Signals, thresholds, verification rules, and a working digital twin composed from a shared physics catalog: a complete governed domain can be stood up declaratively from the console, and validated before it activates.

Models only get stricter

Customer-facing model promotion is held to a stricter-than-default-only bar, and the learning core itself stays sealed, so tuning can never quietly degrade verification.

System 2 constraint governance in the Vantage console: thresholds tunable within physical floors, safety-critical constraints locked view-only

Constraint governance · physical floors & locks · demo data

No-code domain authoring in the Vantage console: subsystems, signals and risk anchors defined declaratively behind a validation gate

Declarative domain authoring · validation-gated · demo data

How a pilot works

Shadow mode first. Weeks, not quarters.

Runs alongside, changes nothing

Pilots deploy in shadow mode next to your existing monitoring: Vantage verifies the same streams, and you compare its verdicts against what actually happened.

4–6 weeks, typical

You bring sample telemetry, system topology, and operating modes. We bring the propose-and-verify loop and evidence-backed outputs against your own data.

Your infrastructure, if you prefer

Containerized deployment to your private cloud, on-premise servers, or air-gapped environments. Verification comes to your data, not the other way around.

Your data trains the model without ever leaving home.

Federated learning plus a four-layer protection model: encryption in transit, differential privacy, secure aggregation, and optional hardware attestation. Privacy built into the architecture, not bolted on.

Security & Privacy
Technical briefing

See the architecture. Bring your hardest case.

A 45-minute technical session: how Vantage integrates with your stack, how Evidence Bundles work, and where verification moves the needle on your warranty and uptime numbers.