Cerenovus

AI that finds value creation opportunities across enterprise…

2.8Score#407 of 999 agents#3 of 6 in Business analyst

Why it ranks #407

Cerenovus, an AI business analyst from YC S26, ranks #407 of 999 AI agents and #3 of 6 in Business analyst, with a score of 2.8 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 4 × 25% 1.0
Autonomy 6 × 15% 0.9
= 2.8

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
4
Shows a recent launch and a new batch.
- +3
  Launched in the last 6 monthsCerenovus - The Layer between Data and DecisionsLaunch YC post · 11 Aug 2026
- +1
  New: YC Summer 2026
Not found: open roles on YC (+2), new traction claim in the last 6 months (+2), funding news in the last year (+2)
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: 12% likely
- Finishes whole tasks: 11% likely
- Calls itself an agent: 5% likely
- Level 0 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 Cerenovus

We are building an AI operating partner that reads every record a company produces to find and prioritize value creation opportunities, including costly operational inefficiencies no one is tracking. Cerenovus warns leaders before small problems become expensive and turns weeks of manual investigation into evidence-backed answers in minutes. Every claim links to its source, and every finding is ranked by impact. Companies use it to improve their operations; private equity and advisory firms deploy it across the businesses they own or advise.