Why HyperC?

Solve business problems with 21st century technology

We are changing the way businesses solve problems and make decisions. Start leveraging AI and data analytics with a level of simplicity and ease that is unmatched today. HyperC’s easy-to-use Excel interface enables financial, business analysts, and operations managers to solve problems and gather business intelligence quickly using the latest AI technology.

HyperC is a solution that businesses need today

It doesn’t require an advanced degree or custom programming skills; simply input process data, the business rules and constraints in Excel, and HyperC will process them to find the best solution.

This is how businesses will operate in the future

Why use last-century technology to solve 21st century problems? It’s not enough to collect more and more data. HyperC quickly and intelligently leverages data for better business intelligence and improved problem solving.

Get AI-driven business intelligence
with the simplicity of a spreadsheet

It doesn’t require an advanced degree or custom programming skills; simply input process data, the business rules and constraints, and HyperC will process them to find the best solution.

Industry Leaders

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I’ve been in the space of software development and no code approaches for a long time now and have never seen anything like this! Amazing! This is by far the most superior low code technology I have ever seen.‍

Manish Balakrishnan
Founder @ No Code Journalname

This could be a must have feature forevery Kubernetes installation.

Steve Krouse
Future of Coding

Fascinating convo today with @Andrew_Gree, co-founder and #CTO of @theHyperC, which uses radically advanced #AI that can figure out how to use code to solve problems, little to no coding required.

Dion Hinchcliffe
IT futurist and keynote speaker from ZDNet and CIO journal

This is bigger than Turing Machine because we're solving NP-complete problems in a multiverse, searching through multiple turing machines”, “this is super-meta programming”, “Current academic thinking is that a big NP-hard problem has parts that are hard and that are easy. The problem is to find the parts that are hard, and brute force them with a computer”, “There is a proof that logistics problems are polynomial-hard and can be efficiently solved

Antonin Komenda
Assistant professor at Czech Technical University in Prague - Faculty of Electrical Eng. - Artificial Intelligence Center

I am impressed. This looks like a 20-year story but the approach is working already today

Adam Smith
Assistant Professor of Computational Media at UC Santa Cruz

NASA is spending tens of millions of dollars on formal methods and what you did is super impressive”. “Security experts, Aerospace real-time algorithms developers urgently need to get proof that the systems are correct, and this technology makes it so much easier to do

Mark Reynolds
Research Scientist, Boston University

This is a very intriguing idea!”, “We’ve been using SAT solvers to synthesize programs but never thought about applying AI planning to the problem

Rastislav Bodik
Paul G. Allen School of Computer Science & Engineering, Professor at University of Washington Seattle

I’ve been thinking about something like this for a while now. This is very exciting.

Joscha Bach
VP of Research at AI Foundation
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