Chima

Building infrastructure tools to help large companies customize their…

2.6Score#483 of 999 agents#23 of 52 in Coworker (general purpose)

Why it ranks #483

Chima, an AI coworker (general purpose) from YC W23, ranks #483 of 999 AI agents and #23 of 52 in Coworker (general purpose), 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
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
3
Shows hiring.
- +3
  Hiring: 5 open rolesFrontend Engineer, AI Engineer, Senior Sales Development RepresentativeYC 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 Winter 2023) (+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: 24% likely
- Finishes whole tasks: 14% 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 Chima

Companies struggle to customize their generative AI models by taking advantage of their existing customer and enterprise data, in real-time. Chima solves for this through a sleek, interoperable layer before the standard generative AI models are applied.