Hypercubic

Agentic AI for Mainframe Operations and Modernization

3.4Score#262 of 999 agents#13 of 40 in Software engineer

Why it ranks #262

Hypercubic, an AI software engineer from YC F25, ranks #262 of 999 AI agents and #13 of 40 in Software engineer, with a score of 3.4 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 2 × 30% 0.6
Momentum 5 × 25% 1.3
Autonomy 6 × 15% 0.9
= 3.4

Proof
Do customers use it? 30% of the score
2
Claims a customer count.
- +2
  A customer count
  “About 70% of the Fortune 500 companies still rely on them to run their core business applications in banking, insurance, telecom, airlines, retail, and more.”
  YC page
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
2
3 people.
- +2
  3 people on its YC page3 or 4 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
5
Shows a recent launch and hiring.
- +3
  Launched in the last 6 monthsHopper - Agentic Development Environment for Mainframe/COBOLLaunch YC post · 12 May 2026
- +2
  Hiring: 4 open rolesFounding Software Engineer, Founding Software Engineer - Backend, Founder's AssociateYC page
Not found: 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 Fall 2025) (+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: 73% likely
- Finishes whole tasks: 29% likely
- Calls itself an agent: 98% likely
Level 2: Takes actions in other systems; a person approves key steps.

About Hypercubic

Hypercubic is an AI-native platform for mainframe operations and modernization.

We help enterprises understand and modernize their mission-critical legacy systems. About 70% of the Fortune 500 companies still rely on them to run their core business applications in banking, insurance, telecom, airlines, retail, and more.

These systems, originally built in the 1960s–90s, still power trillions in global infrastructure today but have become increasingly opaque as original developers retire or leave the workforce.

We are pioneering a new class of intelligence capable of understanding, reasoning about, and rebuilding the world’s foundational infrastructure.

Learn more at hypercubic.ai