Corca Research, Inc., a startup building the first AI-native collaborative workspace for mathematics, today announced it has raised $7.8 million in funding. The round was led by NEA, with participation from Bloomberg Beta, Daft Capital, and NVentures, NVIDIA’s venture capital arm. The funds will be used to develop the product, strengthen its AI capabilities, and expand the engineering team.
The Problem with Existing Math Workflows
To input math into a digital environment and run calculations, everyone from engineers to financiers relies on symbolic computation and reasoning. However, these workflows, which are fundamental to a $6-10 billion market, remain under-optimized because no single tool owns math editing end-to-end. Today, over 100,000 organizations across aerospace, defense, energy, academia, and more, in +180 countries, rely on fragmented stacks of tools originally developed in the 1980s.
For years, each tool handled only one piece of the workflow: MatLab ($1.5B in revenue) for engineering and math, Dassault ($5.6B) and PTC ($2.7B) for simulation and modeling, and Ansys ($2.5B) for physics. Most require programming languages or specialized syntax such as LaTeX, and lack real-time collaboration options — teams still share math through screenshots and scribbles. For the first time in 40 years, Corca brings these workflows into a single environment.
“In 2026, people still do math on paper, and there was no real math editor on the market with over five million users. All of them struggle with broken workflows daily,” said Anton Gladkoborodov, Co-Founder and CEO of Corca Research. “If you want to type mathematics on a computer, your main option isn’t an editor, but rather a layout language. We started Corca to build something faster and more intuitive.”
AI-Powered Collaborative Math Workspace
The company is building a browser-based workspace where, unlike other tools, users can write math naturally (without special syntax), run calculations in real time, and collaborate similarly to tools like Figma or Google Docs. Built-in AI helps solve problems, manipulate expressions, and generate code without switching tools.
For example, designing a system like an air conditioner requires understanding how heat diffuses through a metal rod. Modeling this involves equations, code, and simulations — typically handled across multiple tools. In Corca, this entire workflow happens in one place.
Early Adoption and Vision
The product has attracted over 10,000 users organically, with reports of working with equations up to 2x faster than traditional workflows. “We aim to make math more accessible and plan to keep the core editor always free for academic users. Our society will benefit from more engineering and science talent if everyone is able to interact more easily with math from an early age. If I had Corca in my school days, I bet I would never have a single “C” in math,” adds Anton Gladkoborodov.
Investor Perspective
“We believe AI models will dramatically accelerate advancements in hard sciences,” said Luke Pappas, Partner at NEA. “However, traditional LLMs have struggled with math because written math is not simply a string of textual tokens, but is instead a sequence of symbols of higher meaning. Corca has built a symbolic math engine from the ground up, which we believe makes it the best application for mathematical workflows enhanced by AI.”a