Plexe

Open-source agents to build predictive ML models from a prompt

2.0Score#717 of 999 agents#3 of 4 in ML engineer

Why it ranks #717

Plexe, an AI ML engineer from YC Sp25, ranks #717 of 999 AI agents and #3 of 4 in ML engineer, with a score of 2.0 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 0 × 30% 0.0
Scale 1 × 30% 0.3
Momentum 2 × 25% 0.5
Autonomy 8 × 15% 1.2
= 2.0

Proof
Do customers use it? 30% of the score
0
No public claims of customers or revenue yet.
Not found: revenue or growth (+4), 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
1
2 people.
- +1
  2 people on its YC page2 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: 1 open roleForward Deployed EngineerYC 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
8
Autonomous worker: completes whole tasks; people handle exceptions.
- +8
  Level 3 of 4: Autonomous workerCompletes whole tasks; people handle exceptions.
What the model read
- Acts in other systems: 77% likely
- Finishes whole tasks: 53% likely
- Calls itself an agent: 89% likely
Level 3: Completes whole tasks; people handle exceptions.

About Plexe

Plexe builds predictive ML models from a problem description. It connects to data sources, conducts experiments, evaluates and deploys the models to an API endpoint.