Organizations increasingly have to run AI on data they can't expose — patient records, legal files, financial detail — and then prove to a regulator, customer, or auditor that it was handled correctly. AugmentEV is built for exactly that. Your work runs inside a sealed, hardware-attested environment that no one can see into — not the machine's owner, not the operator, not us — and every job returns a post-quantum-signed, tamper-evident receipt anyone can verify independently.
Straight talk: your data goes in, the work happens where no one can look, and you get back a receipt that can't be faked. If anyone asks what happened, you play the tape.Bring a workload. Get back a result — and its proof.
How work arrives
Bring your own containerized workload — any OCI image — or call a ready-made AugmentEV agent: Khanoor (security log triage), Resolve (customer-support resolution), DocFlow (document processing). Connect over REST, MCP, or A2A.
Controls you set
Set hard caps on runtime and spend — enforced by the platform, itemized on every receipt.
What comes back
Your result plus its receipt: independent evidence of exactly what ran, on data no one else could see. Unverified jobs are rejected, not run — the system fails closed.
Teams that must handle sensitive data — and prove it.
Built for teams in health, legal, and financial services — anyone who must handle sensitive data and prove they handled it correctly. Design partners work directly with the founding team and shape the roadmap.
Prefer self-serve? The same confidential runtime is open on Paseo: sign up in one request, send a job, pay per call — from $2.50, no seats, no contracts.
What runs in production today is the confidential runtime and the signed receipt.
Everything below is roadmap, and we say so plainly:
Broader workloads
Autonomous agents, streaming and real-time inference, larger batch jobs — inside the same sealed boundary.
An open marketplace
Third-party authors publishing confidential, provable tools others can call. Planned, not yet open.
A sovereign mainframe tier
Dedicated, sovereign-grade isolation on enterprise mainframe hardware. Expected fall 2026.
The fleet in the name.
Further out, the same runtime is designed to extend onto your EV.
A modern electric vehicle is a computer on wheels — and it's parked most of the day. Nearly 58 million EVs are on the road worldwide¹, each with onboard compute sitting idle while plugged in. AugmentEV's architecture was built from day one so that the sealed boundary and the signed receipt can run there too — turning your parked car into verified, confidential compute you're paid for.
This is also the greenest compute there is: no new servers, no new data centers, no halls of chillers. Work runs on hardware that already exists, scheduled into windows when the grid is cleanest, with each vehicle bringing its own thermal system.
The fleet is a destination on our roadmap, brought online through automotive-manufacturer partnerships now in discussion — not something running today.
Built by people who've shipped high-assurance systems.
Founded by a technologist with decades spent building complex systems, with deep roots in secure, high-assurance computing and EV manufacturing. Member of NVIDIA Inception. Listed on the Model Context Protocol registry. Patent-pending portfolio. AugmentEV, Inc. — a Delaware corporation.
Member of NVIDIA Inception · Listed on the Model Context Protocol registry · Patents pending
Start a pilot
If your team must run sensitive data and prove it was handled correctly, talk to the founding team about a pilot. A direct line for everyone else, too.