React AI analyses your problem and creates bespoke solutions to suit your needs.

    • Consultancy in Machine Learning and wider data science
    • Data analysis, systems design
    • Bespoke development
    • Provision of tailored cloud-based real-time AI services
Years of broad domain expertise to work through your problem space with you.
Technology and Tools
The proprietary ENKI deep-learning platform is built to deliver turnkey solutions, or can be leveraged to augment your own processes, or as part of a bespoke development package.
We bring a proven track record in the most critical application areas.

Featured projects

Application Domains

Key verticals for ENKI:
Autonomous vehicles, production lines,
industrial robots, predictive maintenance,
drones, quadruped and humanoid robots,
industrial IOT, CNC machinery.


AI research has focused heavily on building higher performing neural nets, but that doesn’t mean they are practical to implement in real world deployments. As humans we deal with life as it comes to us, and for our equipment to truly benefit from machine learning, it should respond in real time as well. That belief has driven us to build a system to explore the world around it, using methods that closely mimic human sensory perception, and can augment almost any machine.

Our Technology…

React AI has created ENKI, the proprietary AI technology at the heart of our platform. This enables us to deliver solutions that bring together a broad range of benefits offered by AI. The result is a real-time decision making feedback loop, based on readings from your sensors, be they optical, acoustic (inc. natural language), spatial, electrical or other embedded sensors in machinery. Real time decision making lets ENKI execute tasks in the real world through direct commands to physical systems.

AI Engine

The ENKI engine uses state-of-the-art neural network techniques which can be called upon to perform a wide range of tasks to achieve your goals.


Our technology processes data in real time, acting immediately to produce results based on trained neural nets, while simultaneously training new, better models in the background.


At the core of our system, we fuse large amount of data from multiple asynchronous data streams on the fly.

Recurrent Nets

We use recurrent neural nets to truly take account of the time-series nature of arriving events, rather than just treating time as another variable.

Modular Networks

Our neural-net AI technology can learn and control processes at multiple levels, and in combination, with AI components at one level controlling or feeding into others.

Cloud and Local

High bandwidth sensor and video data can need processing fast on embedded solutions, but sometimes you just need a server farm. Process where it works best.

Who we work with…

The Founders

Gregory Epps

International thought leader in the development of industrial robotics processes and software. Previously CEO of Robots.IO and RoboFold. Specialist in new process development including robotically controlled large scale metal 3D printing, robotic metal forming and robotic CNC milling. Active across multiple manufacturing sectors from SMEs to Fortune 500s.

Dr. Charles Galambos

20+ years experience in computer vision and machine learning. Previously CTO at OmniPerception (acquired) developing facial and object recognition for industrial and entertainment applications, including cloud and embedded systems. Lead developer on RAVL computer vision library at Surrey University.

Nic Greenway

Extensive experience leading large international teams managing big-data and real-time processing in the finance sector, including global manager of Equity Capital Markets IT at Credit Suisse. Engineering First from Cambridge.

Contact us.
We’ll arrange a time to call and discuss your needs.