Building AI Experts™
for quantitative business processes

Anticipating in 2022 what is now called the era of experience1

We believe that experimentation will enable AI to make profitable decisions in complex and partially known environments.

 

In other words: if you want AI to yield profit, let AI discover how to make profit!

the First to scrap the entire web for thousands of RL libraries

We are actively scraping the whole web for Reinforcement Learning (RL) simulation environments across a huge variety of application domains.

Our goal? A universal RL algorithm able to adapt to any decision process: the Large Decision Model (LDM).

26% of all business processes are quantitative

We have estimated that 31% of business processes are quantitative and can be formulated under the RL framework.

That implies a market size of at least 3 trillions $, comparable with the estimated LLM market.


We build the LDM to disrupt this market

One LDM to optimize all quantitative business processes

Name your KPI, our model then takes the decisions that maximize it.

It is not learning from internet text, it is learning from interactions with thousands of RL libraries.

Embrace the Large Decision Model: less talk, more profit.

Our product:

Boost your Quantitative Business Processes

Decision Business Intelligence

Close the gap between your data and your decisions: put an end to hundreds of charts and dashboards that need to be interpreted.

 

RL-based actionable insights that directly shows the long-term impact of decisions on your KPI:
• you visualize the best decision in every situation.
• you audit past decisions at a glance.

Work with your AI Experts™

On-premise LDM-powered agents adapted to your unique Quantitative Business Processes. Work with your AI Experts™ and transition smoothly from suggestions to full autonomy. Monitor your KPIs and evaluate objectively human or AI Experts™.

Quantitative Business Process Examples

Bioreactor optimization: 
Optimize bioreactor control (temperature, pH, oxygen, agitation, feeding) to maximize protein yield

Product ordering:
Optimize daily supermarket orders to improve sales and reduce waste

Drug prescription: Optimize anticoagulation with Sintrom©, adjusting doses to prevent thromboembolic events while minimizing bleeding risk

Research

We are building a foundation model for Reinforcement Learning: the Large Decision Model (LDM)

Latest news:

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