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.
Moreover, we’re comfortable mixing proprietary, open-source and third-party solutions to build the system you need. We’re experts in building cloud-based solutions which can be deployed to AWS, Azure or others without leading to lock-in with a particular hosting provider.
We bring a proven track record in the most critical application areas.
Sample verticals for Enki:
Industrial IOT (“Factory 4.0”), predictive maintenance, production lines, industrial processes, robotics, autonomous vehicles, drones, 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.
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, 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.
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.
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.
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.