Connect your data
and allocate,
schedule, solve
Easy automation for busy people.
HyperC schedules your workforce and resources,
so you can relax and grow your business.
Programming needed
Days to production
% of Manual work saved
Make your data
work for you
Convert any no-code application into an automated ERP platform at a fraction of the cost with a revolutionary self-service business language.
Connect the data you use every day for trucking, services requests, packaging, manufacturing orders and let the machine work on the task.
Implement process
of any complexity
Stick with the tools that work for you. Then use HyperC to implement your toughest automation - like optimal allocation, re-scheduling, plan-fixing and route-planning, or all at once. With the easiest business language yet.
HyperC platform benefits
Immediate result
Go to production in hours. Get instant results for problems that would otherwise take months and years to develop or customize.
Transparent no-code core
All your business rules are easy to understand and audit with no black-box modules.
Highest value
You get the benefits of high-profile automation and optimization at the cost and timeframe never seen before.
No-cost experiments
You can juggle multiple processes, experiment and improvise with automation platform that enables unprecedented turnover time with the easiest rule language ever invented.
Industry Leaders Trust HyperC
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.
This could be a must have feature forevery Kubernetes installation.
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.
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
I am impressed. This looks like a 20-year story but the approach is working already today
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
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
I’ve been thinking about something like this for a while now. This is very exciting.
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