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.Request a demo
Hours to proficiency
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
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.
HyperC transforms your data and business rules into predictive models
You can instantly detect a discrepancy in the actual results against the model
You know what to expect and can assess various “what if” scenarios
You are always in control and steer your business in the changing conditions
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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Gain control, increase efficiency, reduce waste