Poka Labs

Helping industrial manufacturers win deals fast, at the right price.

2.6Score#488 of 999 agents#10 of 17 in Order desk

Why it ranks #488

Poka Labs, an AI order desk from YC S24, ranks #488 of 999 AI agents and #10 of 17 in Order desk, with a score of 2.6 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 3 × 30% 0.9
Momentum 3 × 25% 0.8
Autonomy 6 × 15% 0.9
= 2.6

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
3
5 people.
- +3
  5 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
3
Shows hiring.
- +3
  Hiring: 5 open rolesFounding Deployment Strategist, Fullstack / AI Engineer (4+ YOE), Fullstack/AI 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 Summer 2024) (+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: 47% likely
- Finishes whole tasks: 28% likely
- Calls itself an agent: 89% 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 Poka Labs

Poka Labs builds an AI platform to help sales reps at chemical manufacturers respond to requests from customers and win more business. Our agents understand each companies product catalog, customer purchase behaviors, and tribal knowledge in order to price, quote, and win the business.

Malay and Andrew met while pursuing at Harvard Business School and now are building for companies ranging from a few million in sales per year to billions.