Company Summary

Company Overviews

AI agents are starting to do real, consequential work — and the world is about to demand proof of what they did.

AugmentEV makes that proof native to the compute itself. Paseo, our platform, runs agent workloads inside hardware-attested confidential environments, and every consequential action returns a tamper-evident receipt — signed at execution time, verifiable by anyone at augmentev.com/verify. No account needed; change a single byte and verification fails.

Operators use us to prove their agents. Insurers and managing general agents use the same records to underwrite with evidence no party to the claim can alter.

Proof that exactly the right compute ran — nothing more. That's why every job on our platform runs right-sized: hard caps on runtime and spend, set per job, scheduled into low-carbon windows, on infrastructure chosen for the lowest energy per unit of work we can find. Trust and efficiency are the same discipline.

One story runs from here to the fleet: we make autonomous work provable — AI agents today, the vehicles themselves next.

Member of NVIDIA Inception · Listed on the MCP Registry · Patents pending

Rating Reviews

Rating is calculated based on 1 review and is evolving.

Featured Reviews

Software Engineer
3.7
27 August 2026
Good learning opportunity in EV tech
Pros: There's a genuine sense of teamwork here, and I appreciate the opportunity to work on cutting-edge electric vehicle technology. My colleagues are smart and dedicated, making daily collaboration productive. Management is generally accessible and open to feedback, which fosters a positive work environment. I've learned a lot about software development within the automotive sector.
Cons: While flexibility is generally good, workload can become intense during critical project phases, sometimes blurring the lines of work-life balance. There's a need for clearer long-term career progression paths and more structured professional development opportunities for engineers. Streamlining some internal approval processes could also improve efficiency.
Advice to Management: Consider implementing more formal training programs and creating clearer career ladder frameworks. Also, better resource planning during peak project times could help manage workload more effectively and maintain work-life balance for the team.
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