Project Kaleidoscope: Contextual, Human-Aligned Evaluation for Real-World AI App
Evaluations (Evals) are a deployment bottleneck for real-world AI applications: public benchmarks rarely match a team's users, context, or policies, and human review is often tedious to scale. Motivated by our work with AI applications in t
https://arxiv.org/abs/2607.14673v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Moderate
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market → stable
▸ Add / edit details
Correct facts used on the next screening or memo.
People
L
Leanne Tan
2.0
low confidence
R
Rohan Jaggi
2.0
low confidence
S
Shaun Khoo
2.0
low confidence
R
Roy Ka-Wei Lee
2.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Humanloop
· Acquired
Humanloop is the LLM evals platform for enterprises.
Raza Habib
Jordan Burgess
Peter Hayes
Claire Mao
Lucy Cai