About

We are building the geometry intelligence layer for modern software.

Hypotenuse AI exists because geometry keeps showing up inside products that were never designed to treat it as a first-class capability. We turn that gap into infrastructure for builders.

4 target verticals across education, spatial, industrial, and developer software
3 core operating principles behind the company
1 platform for turning geometry into a programmable service
Origin

Why this startup exists

Software teams in learning, simulation, design, and spatial computing repeatedly reinvent geometric logic inside products that need to move fast. Hypotenuse AI gives them a dedicated intelligence layer instead of one-off implementations.

  • Turn geometric reasoning into reusable infrastructure.
  • Give product teams a clean path from input to decision.
  • Make geometry available anywhere software needs it.
Mission

What we are optimizing for

We are building for teams that care about response reliability, developer adoption, and product experiences where geometry can directly shape user outcomes.

  • Structured outputs that fit production systems.
  • Developer tools that lower integration time.
  • Category leadership around geometry as software.
Principles

The operating principles behind the company.

01

Inference should look expensive

The output must feel dependable enough to sit inside products where users act on the result.

02

Developer experience matters

Geometry only becomes infrastructure when teams can integrate it quickly, reason about it clearly, and monitor it confidently.

03

Category creation beats point solutions

We are not building a one-off calculator. We are defining the geometry layer that other products can build on top of.

Roadmap

How the company expands the product footprint.

Core Platform

Establish the geometry inference layer

Standardize request structure, response contracts, and core inference behavior for geometric inputs.

Product Expansion

Move into workflow-heavy categories

Bring the platform into education, simulation, spatial software, robotics, and technical productivity tooling.

Ecosystem

Launch partner and developer distribution

Expand through integrations, SDKs, and commercial relationships with teams embedding geometry in their products.

Team

The team building a new software category around geometry.

Founder / CEO

Lina Mercer

Leads product strategy, market narrative, and partnerships at the intersection of AI infrastructure and technical software.

CTO

Arman Vale

Owns the inference stack, request contracts, and the developer systems that turn geometry into a reliable platform service.

Design Lead

Mina Sol

Shapes the product language and interface system that position Hypotenuse AI as premium infrastructure rather than a utility.

Continue

Explore the API or talk with the team about fit.

The next step is deciding how Hypotenuse AI fits into your product, stack, or market.