MorphoAI

Software tool for designing robots and machines

2.9Score#367 of 999 agents#4 of 25 in Hardware engineer

Why it ranks #367

MorphoAI, an AI hardware engineer from YC Sp25, ranks #367 of 999 AI agents and #4 of 25 in Hardware engineer, with a score of 2.9 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 2 × 30% 0.6
Scale 3 × 30% 0.9
Momentum 2 × 25% 0.5
Autonomy 6 × 15% 0.9
= 2.9

Proof
Do customers use it? 30% of the score
2
Claims a customer count.
- +2
  A customer count
  “We already have two paying customers in the OEM and system integrator spaces.”
  YC page
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
3
7 people.
- +3
  7 people on its YC page5 to 9 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
2
Shows hiring.
- +2
  Hiring: 2 open rolesFounding Engineer, Chief of StaffYC page
Not found: launch YC post in the last 6 months (+3), 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 Spring 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: 15% likely
- Finishes whole tasks: 13% likely
- Calls itself an agent: 3% likely
- Level 1 from the model's reading of its pages; the evidence review found, with quotes, that its AI acts in the work, so the level is 2
Level 2: Takes actions in other systems; a person approves key steps.

About MorphoAI

We're building an AI powered platform for engineers that are building new robots and machines.

We allow users to invent and modify machine designs in a matter of minutes, not years. Ayna and Andy, the co-founders, met during their time at Harvard and started this in 2024 as their programs were wrapping up. We're commercializing 10+ years research done by our team at Harvard and MIT on this space. Our team wrote the very first papers on applying GenAI and optimization algorithms to compose robots from parts and applying computational design to fine tune machine designs. We're bringing in our deep knowledge of modifying equipment and integrating it into factories keenly understanding what makes hardware hard.

We take in parts under consideration, constraints and tasks at hand and our algorithm formulates and fine tunes from 100s of possible design options. All in a few clicks, so engineers can push hardware to market faster and companies can benefit from the inventions being done by their R&D teams. We already have two paying customers in the OEM and system integrator spaces.

We are venture backed and supported by a GBP 2.5MM grant by ARIA, the UK Government's invention agency.