MOVEdot

AI Agents for Hardware Engineering

3.3Score#270 of 999 agents#2 of 25 in Hardware engineer

Why it ranks #270

MOVEdot, an AI hardware engineer from YC F25, ranks #270 of 999 AI agents and #2 of 25 in Hardware engineer, with a score of 3.3 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 4 × 30% 1.2
Scale 4 × 30% 1.2
Momentum 0 × 25% 0.0
Autonomy 6 × 15% 0.9
= 3.3

Proof
Do customers use it? 30% of the score
4
Claims revenue or growth.
- +4
  Revenue or growth
  “Closed our first 30k deal within 2 weeks of the POC.”
  Launch YC post · 6 Nov 2025
Not found: named customers (+3), a customer result (+2), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
4
10 people.
- +4
  10 people on its YC page10 to 19 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
0
Nothing new in the last 6 months.
Not found: launch YC post in the last 6 months (+3), open roles on YC (+2), new traction claim in the last 6 months (+2), funding news in the last year (+2), a batch in the last year (it is YC Fall 2025) (+1)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 51% likely
- Finishes whole tasks: 21% likely
- Calls itself an agent: 98% likely
Level 2: Takes actions in other systems; a person approves key steps.

About MOVEdot

Our agents run hardware engineering tasks that normally take hours or days in just a few minutes, allowing engineers to process 100x more data and information. Our platform allows hardware engineers to orchestrate agents for tasks such as analyzing failures across entire test campaigns, pulling the right data and KPIs from their databases, checking how conditions (like temperature or load) affect performance and reliability, and then document findings in reports and dashboards.