The Synthesis Company

100x faster scientific evidence synthesis

2.4Score#552 of 999 agents#10 of 16 in Scientist

Why it ranks #552

The Synthesis Company, an AI scientist from YC S24, ranks #552 of 999 AI agents and #10 of 16 in Scientist, 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 5 × 30% 1.5
Scale 0 × 30% 0.0
Momentum 0 × 25% 0.0
Autonomy 6 × 15% 0.9
= 2.4

Proof
Do customers use it? 30% of the score
5
Claims named customers and a customer result.
- +3
  Named customers
  “We started hearing of folks in Microsoft, Amazon, Google, and 40+ other companies using DSPy to prototype apps with it.”
  Launch YC post · 4 Sep 2024
- +2
  A customer result
  “Zenbase came into the trenches with us to improve our evals from 10% to 80%.”
  Launch YC post · 4 Sep 2024 · 2 claims
Not found: revenue or growth (+4), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
0
1 person.
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: 15% likely
- Finishes whole tasks: 29% 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 The Synthesis Company

We enable research that was previously impossible—systematic reviews of 20,000+ papers in weeks with 98% accuracy.

We collaborate with researchers at Stanford, Harvard, and Johns Hopkins to ask the big questions they've been forced to scale down.

Pharma companies get complete evidence awareness in weeks — not years.

AI labs get the same reviews as RL environments with expert-validated reasoning traces—scientific synthesis as the next frontier after math and coding benchmarks.

We're former DSPy core contributors who built the production infrastructure to make total evidence awareness actually work at scale.