Pioneering responsible AI since 2009

Gen AI may have just made the splash into the mainstream, but we’ve been working with AI for over 15 years.

We build AI services into businesses using MLOps and composite AI system approaches. Applying modern engineering practices to the development of AI systems means organisations can rapidly develop, deploy, test and iterate in this complex and fast-changing area of technology.

Pioneering responsible AI since 2009
image

Simplifying the complexities of using AI

Our team of senior engineers and data scientists have helped large enterprises and government departments understand the benefits and risks of AI systems. We help you and your teams understand, in human language, how AI works and how it might enhance your operations.

Let’s talk about your AI use cases

Find out how you can put AI to use responsibly, securely, and efficiently.

Get in touch
image

Make your developers even more efficient

Your developers are already using AI co-pilots to expedite manual work, write the first draft of code, analyse existing code, or using prompts to make existing code better.

image

Get actionable insights from large, unstructured data

94% of business leaders feel they can get more value from their data. Organise and structure your messy data into actionable intelligence to make better decisions with AI — or have AI make those decisions for you. This could mean protecting our business from fraud or analysing claims and complaints to direct your operations staff to the highest value work.

image

Transform customer service operations

Reduce customer service costs by leveraging generative AI to help answer customer questions. Improve conversion by providing better product recommendations or promotions by applying AI to your customer’s online buying experience.

image

Ensure your data quality is AI-ready

Your AI technology is only as good as the data that powers it. We’ve helped enterprises with their data quality, tackling their most costly challenges in data governance, trust, and security, data integration and the development of data pipelines.

Our approach:
Responsible innovation first

Our approach is always looked at through the lens of responsible innovation.
We embrace best practices of engineering excellence and take a risk-based approach to innovation. We:

  • Define a clear proof-of-concept Define a clear proof-of-concept
  • Adhere to strong policy guarantees Adhere to strong policy guarantees
  • Create threat models for risk assessment Create threat models for risk assessment
  • Value practical innovation over being visionary Value practical innovation over being visionary
  • Focus on business impact over working software Focus on business impact over working software
  • Balance user needs with business goals Balance user needs with business goals
  • Practise constant verification, not wishful thinking Practise constant verification, not wishful thinking
  • Emphasise learning over knowing all the answers Emphasise learning over knowing all the answers
Let’s talk about your AI use cases

Find out how you can put AI to use responsibly, securely, and efficiently.

Get in touch

Our AI Services

  • GenAI Use Case Discovery

    We bring our hands-on experience of working with AI in production to identify where it can benefit you and find achievable use cases which will make a difference.

  • GenAI and AI Strategy Development

    We help you create roadmaps and backlogs for use cases and the technology stack to support them.

  • AI-powered digital products

    We fold AI components and models into wider digital products.

  • AI platforms

    We implement platforms to support, operate and maintain Gen AI and AI use cases.

  • MLOps and LLMOps

    We build, monitor, evaluate and deploy machine learning and other models so you can make better decisions faster. We follow experimental and iterative approaches to reduce risks in automated decision-making.

  • AI engineering

    We implement AI solutions in production, creating the environments for continual development and testing to enable reliable operations at scale.

Simon Case

Simon Case

social-icon social-icon

Head of Data

Simon is the SVP of AI and Data at Equal Experts. He has over 20 years of experience across data engineering, data science, machine learning and Generative AI, and he holds a PhD in Artificial Intelligence from the University of Bristol. Simon regularly works at both strategic and implementation levels, helping organisations create and implement their data and AI visions. Simon has been part of the data transformation of numerous clients including Travelopia and John Lewis & Partners.

Our team

  • Ryan Sikorsky

    Ryan Sikorsky

    Co-Founder

  • Lewis Crawford

    Lewis Crawford

    Data & AI Service Lead

  • Adam Fletcher

    Adam Fletcher

    Data Scientist

  • Chris Rutter

    Chris Rutter

    Principal Security Consultant

Why Equal Experts?

Ensuring access to data is secure, reliable, and timely requires engineering skills as well as collaboration across a wide group of stakeholders. You need to work with experts that have years of experience working with data and applying rigorous software engineering practices to the flow of data.

Our consultants have experience working across many organisations which means they are well suited to solving technical challenges while working within existing organisational constraints. They work with your teams and engage the wider organisation to ensure work is aligned to supporting business needs and not just a technology initiative. This allows you to realise value from your data initiatives faster, and continuously.

Contact us today

Find out how you can put GenAI to use responsibly, securely, and efficiently.

Get in touch