Versable

AI powered product description enhancement for the auto parts industry

2.3Score#580 of 999 agents#5 of 10 in Retail and e-commerce operator

Why it ranks #580

Versable, an AI retail and e-commerce operator from YC W22, ranks #580 of 999 AI agents and #5 of 10 in Retail and e-commerce operator, with a score of 2.3 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 0 × 30% 0.0
Scale 3 × 30% 0.9
Momentum 2 × 25% 0.5
Autonomy 6 × 15% 0.9
= 2.3

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
3 people, raised $2.6M.
- +2
  3 people on its YC page3 or 4 people
- +1
  Raised $2.6M (Seed)Announcing our $2.6m seed round! | VistaSource · 12 Jul 2022
Momentum
Is it shipping and growing now? 25% of the score
2
Shows hiring.
- +2
  Hiring: 1 open roleProduct Engineer (contract to hire)YC 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 2022) (+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: 26% likely
- Finishes whole tasks: 42% likely
- Calls itself an agent: 2% 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 Versable

Auto parts retailers get product data from hundreds of manufacturers that is inaccurate and inconsistent, often with big gaps in key values. They currently have a team of "catalog managers" who are required to process and enhance this data line by line, resulting in a week to months long lag between receiving product data and actually being able to start generating revenue from those products.

Versable leverages AI to scan the web for tens of millions of auto parts listings, and uses a fine-tuned LLM with RAG to instantly process, enhance, and transform data. With just a part number, Versable is able to generate market-ready titles, product descriptions, and specs, in any format that's needed.