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.

Did you know that there are 28% less AI failures for organisations that have responsible AI practices?

Delivering AI responsibly is critical, to avoid unintentionally inflicting harm with AI solutions and to protect your organisational reputation, allowing you to adopt AI confidently.

At Kainos, we enable organisations in responsible AI through a range of services:

Helping you navigate and plan your approach

We help you trace your path to responsible AI, by helping you define your responsible AI ambition, informed by critical standards and regulation, and turn this into a practical roadmap for your organisation to follow. We can then also help you implement this plan. This can involve, for example, the institution of an AI policy or AI ethics committee.

Our accelerators include:

• Responsible AI maturity assessment
• AI governance framework
• Immersion session into the risks of AI
• Partnerships with AI governance platforms

Helping you deliver AI responsibly

We help you embed ethical considerations in AI delivery and see how to map, measure and manage AI risk in a unique AI project.

Our accelerators include:

• Ethics & harms workshops
• Algorithmic impact assessment
• AI ethics development framework
• Responsible AI deep-dives on topics like LLM guardrails or post-hoc explainability

We have experience supporting organisations in the public sector and commercial sector alike to uplift their responsible AI approach. 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.