Transform your data assets into intelligent insights and drive real business value with Artificial Intelligence

Kainos has the technical expertise to power your transformation into a data-driven organisation. Our data scientists operate in multidisciplinary teams, applying their knowledge across machine learning engineering, technical architecture, and data engineering in the cloud, to help you accelerate the business value you generate from machine learning projects. 

• Qualified in STEM subjects and with globally ML and data science certifications
• Deep expertise and best practice knowledge of leveraging open-source ML frameworks and leading cloud AI services including AWS, Microsoft Azure and GCP

We leverage a broad range of AI-driven techniques to solve your complex operational challenges, including machine learning, natural language processing, and knowledge mining, paired with traditional data analytics approaches; predictive analytics, data aggregation, and real-time business intelligence dashboards.  

• Machine Learning Operations (MLOps) – Move data science projects from experiment to production quickly and confidently with MLOps infrastructure. 
• Data Science Acceleration - Build your data science capability to scale adoption of machine learning in the cloud across your business. 
• Demand Forecasting - Optimise demand planning with intelligent insights on customer demand for more effective operations. 
• Document Insights - Reduce time spent on manual document review and tackle document challenges at scale through automation. 
• Fraud Detection - Enhance the efficiency of your counter-fraud operations through intelligent anomaly detection at scale. 
• Intelligent Risk Rating - Optimise operational decision-making through intelligent and up-to-date scoring of risks over time.
• Digital Assistant - Create highly engaging customer experiences that reduce wait times and increase operational efficiencies. 
• Predictive Maintenance - Benefit from cost savings associated with higher predictability of faults and increased availability of systems.

At Kainos, we believe that data ethics is a non-negotiable when delivering Data and AI projects. With technological development moving at unprecedented speed, the new opportunities are exciting, but we have also seen several experts raising alarm bells about the risks and potential for harm. To develop data and AI solutions that can be trusted by users and the public alike, such risks need to be actively identified and managed.

Our internal frameworks and ways of working bring ethics into everything we do, guided by our internal Code of Ethics and our data and AI ethical delivery principles:

1. Mitigating harms & seeking benefits: Within projects, we support our clients to minimise harms and maximise societal benefits of data and AI solutions 
2. Fairness: We minimise bias in data and AI solutions and scrutinise them for fairness 
3. Transparency & explainability: We communicate with transparency about data and AI solutions and explore the reasons behind their conclusions
4. Respect for the human behind the data: We design data and AI solutions with respect for the autonomy, dignity and privacy of those affected by the technology 
5. Responsibility: We believe in taking accountability for data and AI solutions and will encourage clients to establish appropriate oversight.

We can also bring subject matter expertise in data ethics into data and AI projects. In these cases, ethics and harm workshops leading to an ethics impact assessment and transparency documentation become an intrinsic part of what is delivered. Our experience in bringing ethical principles to practice can also be tapped into for advisory work. To learn more, please contact us.

In this video, we hear from our new Chief AI Officer, Gareth Workman. With over 18 years of experience at Kainos, Gareth was the ideal person to take on this new role. He'll be helping to harness the opportunities of AI for both Kainos and our customers.