AI for business efficiency

good for your company, good for the planet.

FP&A in control leads to operational efficiency, profitability, and sustainability of the business. With HyperC technology, the FP&A team builds predictive operational models, controls financial performance, increases business efficiency, and reduces waste. This is our way to help the planet.

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Times easier


Hours to proficiency


Programming needed

Calculate precise targets

Your targets are interconnected. By modeling operations, you get full insight into process efficiency and team performance and immediately see the next optimization step.

Simplify planning for
your business units

Business planning is never easy and requires business leaders to accumulate, analyze and make sense of a lot of data. HyperС allows the FP&A team to simplify financial planning and data entry for your business managers. Provide your lines of business with smart metrics and targets calculated by the operational model based on the actual business rules.

Gain deep insights
into operations

Explore efficiency of workforce allocation in sales and lines of business, marketing budget decisions, inventory management, and supply chain operations. HyperC models are as easy as Excel and generate reports you can explore down to a single decision step.

Our benefits

Accurate planning

HyperC transforms your data and business rules into predictive models

Transparent execution

You can instantly detect a discrepancy in the actual results against the model

Predictable results

You know what to expect and can assess various “what if” scenarios

Controlled maneuvers

You are always in control and steer your business in the changing conditions

Industry Leaders


Author Name

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