Pharos

Helping hospitals identify and prevent avoidable harm using AI

2.4Score#544 of 999 agents#7 of 27 in Document processor

Why it ranks #544

Pharos, an AI document processor from YC S24, ranks #544 of 999 AI agents and #7 of 27 in Document processor, with a score of 2.4 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 2 × 30% 0.6
Scale 3 × 30% 0.9
Momentum 0 × 25% 0.0
Autonomy 6 × 15% 0.9
= 2.4

Proof
Do customers use it? 30% of the score
2
Claims a customer count.
- +2
  A customer count
  “Felix and Matthew spent the past 5 years deploying patient and clinician-facing AI into over 70 hospitals together.”
  Launch YC post · 22 Aug 2024
Not found: revenue or growth (+4), named customers (+3), a customer result (+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
0
Nothing new in the last 6 months.
Not found: launch YC post in the last 6 months (+3), open roles on YC (+2), 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: 33% likely
- Finishes whole tasks: 30% 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 Pharos

Pharos automates hospital quality reporting, saving millions in labour costs and helping to prevent avoidable patient harm.

Today, clinicians spend thousands of hours manually pulling complex facts out of medical records for mandatory reporting and quality improvement.

Our AI pulls those facts out of unstructured medical records automatically. We automate reporting and show staff where avoidable patient harm is happening.