Our Approach

[Machines] + [Data Science] + [Automation] = Intelligence

It takes data to make good decisions, but getting timely data, the right data from all the sources you expect and putting it all together can be hard. And reaching meaningful, actionable insights from thousands of data points and hundreds of metrics requires in depth expertise, is highly complex and time consuming.

We take data from every part of your factory and layer over it thousands of data models which together provide new business performance opportunities

Discover how factoryone’s end to end solution automates all the decision making processes needed to achieve maximum business performance.

Our Technology

The Science

2+

The Research

Over 4 years of research by 2+ Universities

10+

The Smarts

Over 4 years of research by 10+ Researchers

1000+

The Maths

We have developed over 1000+ Algorithms

50+

Industry Know-How

Equipped with more than 50+ Years Experience

Cyber Security

Security is becoming more holistic, also looking at the human aspect and all elements in a changing security perimeter. But most of all: security is becoming more pro-active and technologies to predict cyberattacks before they even happen are in high demand. What do they use: indeed, artificial intelligence, not in the ‘big overlapping’ AI sense but in detecting patterns in data and acting upon this data.

Edge, On Premise or Cloud

IT threats include Data breaches, Compromised credentials and broken authentication, Hacked interfaces, Account hijacking, Malicious insiders, Permanent data loss, Cloud service abuses and Denial Of Service attacks.

Data Flow Security

SSL provides three categories of security: confidentiality, message integrity, and endpoint authentication. Encryption, authentication, and authorization of access including tokens and certificates.

Pattern Recognition

Machine learning explores the study and construction of algorithms that can learn from and make predictions on data– such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs.