Predictive analytics isn’t just a buzzword anymore – it’s become a real part of how companies make decisions, especially in places like finance, healthcare, retail, and logistics. From figuring out customer behaviour to managing inventory or reducing risks, more and more UK businesses are leaning on data to give them a leg up.
The companies working in this space come at it from different angles. Some offer ready-made tools you can plug into your systems, while others take a more custom route – building models and solutions tailored to how each business runs. But the common thread is clear: helping teams act early, not late. Here’s a closer look at a few UK firms that are doing exactly that.
1. A-listware
A-listware takes on analytics and data-heavy projects for UK-based companies that need an extra set of hands – or minds – to sort through their data. Our teams work on practical tasks like building reporting tools, setting up predictive analytics, or managing infrastructure for analytics systems. Most of the time, we join existing teams to fill skill gaps or take on specific parts of a project whether it’s software development, data processing, or support.
We’ve worked across a range of industries – retail, healthcare, finance, logistics – mostly helping companies track performance, forecast trends, or segment their customers. Some projects involve one-off analysis or model building, others are longer-term with continuous support. We’ve done things like sales pattern analysis, A/B testing breakdowns, and customer clustering using basic machine learning tools.
Key Highlights:
- Builds predictive dashboards and analytics systems
- Helps set up and maintain data workflows
- Offers support on infrastructure and integration
- Can work alongside your team or independently
Services:
- Data analytics
- Business intelligence tools
- Data engineering and warehousing
- System testing and QA
- Software and infrastructure support
Contact Information:
- Website: a-listware.com
- E-mail: info@a-listware.com
- Facebook: www.facebook.com/alistware
- LinkedIn: www.linkedin.com/company/a-listware
- Address: St. Leonards-On-Sea, TN37 7TA, UK
- Phone: +44 (0)142 439 01 40
2. Itransition
Itransition helps companies build smarter tools that predict what’s coming next. Think: when a customer might churn, which products are likely to sell, or how demand might shift. Instead of just dropping in a generic solution, they start by digging through what data already exists, cleaning it up, and figuring out what’s worth building on.
They’ve worked with all kinds of businesses, so the use cases vary a lot – from forecasting sales to sorting out churn or pricing strategies. Their team usually builds everything from scratch, using tools like Python, Power BI, and familiar ML libraries. The goal’s always the same: tailor the solution to fit how the business works, not the other way around.
Key Highlights:
- Predictive models built to match the client’s needs
- Tackles churn, forecasting, pricing, and maintenance issues
- Doesn’t rely on off-the-shelf tools – everything’s custom
- Handles planning, building, and roll-out
Services:
- Predictive model development
- Forecasting tools (sales, demand, pricing)
- Churn and customer segmentation
- Risk analysis for finance and supply chain
- Model integration into existing platforms
Contact Information:
- Website: www.itransition.com
- E-mail: info@itransition.com
- Facebook: www.facebook.com/Itransition
- Twitter: x.com/itransition
- LinkedIn: www.linkedin.com/company/itransition
- Address: 3rd floor, 5-8 Dysart St., EC2A 2BX
- Phone: +44 203 687 2281
3. Fast Data Science
Fast Data Science tends to team up with clients in healthcare or pharma, though they’ve taken on projects in other sectors too. They’re usually called in when a company’s facing a tricky prediction problem – stuff like spotting which patients are most likely to need extra care or helping the NHS dig into staff retention issues. They don’t take a one-size-fits-all approach.
What they’re particularly good at is handling messy, unstructured data – like doctor notes, free-text records, or incomplete logs. That’s especially useful in healthcare, where structured data is rarely the full picture. They build their projects around a question, not a platform – so the tools they use (NLP, time series, statistical modelling) are just a means to answer it. It’s a very problem-first thinking.
Key Highlights:
- Comfortable working with messy, hard-to-structure data
- Focus on healthcare, pharma, and public sector analytics
- Experienced in modelling churn, demand, and human behaviour
- Combines NLP and traditional data science approaches
Services:
- Predictive modelling and forecasting
- Attrition and churn analysis
- Trial and demand prediction in pharma
- NLP for healthcare and scientific data
- Descriptive and prescriptive analytics
Contact Information:
- Website: fastdatascience.com
- Facebook: www.facebook.com/fastdatascienceltd
- Twitter: x.com/fastdatascienc1
- LinkedIn: www.linkedin.com/company/fastdatascience
- Instagram: www.instagram.com/fastdatascience
- Phone: +44 20 3488 5740
4. GAIN
GAIN doesn’t just crunch numbers – they focus on figuring out how people actually behave across different marketing channels. Their whole thing is about helping brands understand what gets customers to act, what turns them off, and how that all plays out across the customer journey. Instead of making guesses, they use real data to shape campaigns and predict growth.
They’re usually right in the middle of the marketing mess – connecting CRMs, ad platforms, dashboards – basically pulling everything into one place that actually makes sense. It’s less about building flashy charts and more about creating something teams can act on. Whether it’s real-time triggers or segmentation tools, their job is to make marketing data usable, not overwhelming.
Key Highlights:
- Focuses on real customer behaviour and journey mapping
- Helps adjust campaigns on the fly based on live data
- Brings together info from CRMs, dashboards, and ad tools
- Works hands-on with marketing teams
Services:
- Growth forecasting based on customer data
- Predictive segmentation and targeting
- Data platform setup and API integration
Contact Information:
- Website: www.thisisgain.com
- E-mail: hello@thisisgain.com
- Facebook: www.facebook.com/61574068737393
- LinkedIn: www.linkedin.com/company/thisisgain
- Instagram: www.instagram.com/thisisgain
- Address: 2 Valentine Place, London, SE1 8QH
- Phone: +44 020 7803 3400
5. Milliman
Milliman works mainly with insurance and risk-heavy sectors, helping them move from just reviewing the past to actually predicting what’s next. They build models that support pricing, risk assessments, and claims management – using a mix of traditional actuarial thinking and more modern AI tools.
They’re often embedded pretty deep into insurance workflows, helping companies tweak underwriting, speed up claims, or just make decisions more consistent. A lot of their work leans on cloud tech and flexible modelling, so insurers can scale things up without reworking their systems from scratch. It’s about making smarter decisions faster – with a bit of math, logic, and machine learning stitched together.
Key Highlights:
- Specialises in predictive modelling for insurance operations
- Combines actuarial expertise with newer AI tools
- Supports claims, underwriting, and pricing workflows
- Helps companies bring predictive tools into daily use
Services:
- Predictive analytics for insurance and risk modeling
- Machine learning model development for claims and pricing
- AI consulting for claims departments
- Actuarial support for data-driven decision-making
Contact Information:
- Website: uk.milliman.com
- E-mail: data.protection@milliman.com
- Twitter: x.com/millimaninsight
- LinkedIn: www.linkedin.com/company/milliman-uk
- Instagram: www.instagram.com/lifeatmilliman
- Address: Eastcheap Court, 11 Philpot Lane, London
- Phone: +44 207 847 1500
6. Data Science UA
Data Science UA works with companies that want to get serious about predictive systems and AI, but don’t always know where to start. They help map out the problem, build the models, and then make sure everything works inside the client’s existing systems. For teams that already have some internal data folks, they also offer team extensions and R&D support especially for things like NLP or recommendation engines.
They’ve worked across industries – finance, retail, healthcare, logistics, building tools that handle stuff like customer churn, forecasting, or segmentation. One of the things they focus on is helping businesses get their data in shape before trying to do anything complex. The goal isn’t just to build something that looks smart – it’s to make it work in the real world.
Key Highlights:
- Works across multiple industries with hands-on AI delivery
- Offers flexible collaboration and team extension
- Focus on applied ML, not just theory
- Good at handling both clean and messy data
Services:
- Predictive analytics consulting and delivery
- Big data engineering and model deployment
- AI solution development for retail, fintech, and healthcare
- Recommendation systems and churn prediction
Contact Information:
- Website: data-science-ua.com
- E-mail: info@data-science.com.ua
- Facebook: www.facebook.com/data.science.ua
- LinkedIn: www.linkedin.com/company/data-science-ua
- Instagram: www.instagram.com/datascienceua
- Address: 10 York Rd, London SE1 7ND, United Kingdom
- Phone: +380990552392
7. Clarivate
Clarivate approaches predictive analytics a little differently – they mix human know-how with smart software to help teams spot patterns, automate work, and make decisions with a bit more confidence. Their tools are mostly built into bigger platforms used in areas like life sciences, research, government, and intellectual property. It’s not just about dumping data on a dashboard – it’s about giving people tools that actually help them work smarter day-to-day.
They usually step in when organizations need to pull insights from huge datasets or want to improve how they handle research, innovation, or planning. Their analytics aren’t custom-built from scratch every time, but the platforms come with built-in forecasting tools designed around common industry challenges. It’s more plug-and-play than whiteboard sessions, but it works when speed and scale matter.
Key Highlights:
- Blends predictive analytics with workflow tools
- Focus areas include research, healthcare, IP, and public services
- Platforms come with forecasting baked in
- Supports decision-making in R&D, portfolio management, and more
Services:
- Insights tools for research and portfolio planning
- Workflow automation with decision-support features
- Expert consulting on structured data use
Contact Information:
- Website: clarivate.com
- Facebook: www.facebook.com/clarivate
- Twitter: x.com/clarivate
- LinkedIn: www.linkedin.com/company/clarivate
- Instagram: www.instagram.com/lifeatclarivate
- Address: 70 St. Mary Axe, London EC3A 8BE, United Kingdom
- Phone: +44 207 433 4000
8. Infi UK
Infi UK takes a no-nonsense approach to predictive analytics. They start by getting the data right – from how it’s collected to how it moves through an organization. It’s the kind of behind-the-scenes work that doesn’t always get noticed but really matters if you want reliable predictions that people actually trust.
They’re pretty technical, especially when it comes to making data usable in real-world settings. Whether it’s helping detect fraud, score credit risk, or streamline operations, their work is less about flashy visualizations and more about solid, reliable infrastructure. If the numbers don’t add up, nothing else really matters and they get that.
Key Highlights:
- Focuses on making sure the data is solid from the ground up
- Builds analytics systems that work across large, complex organizations
- Use cases include fraud detection, credit scoring, and more
- Bridges the gap between raw data and smart decisions
Services:
- Predictive modeling for operational decision-making
- Data integration and ETL consulting
- Analytics that tie directly to business context
- Custom solutions across multiple sectors
Contact Information:
- Website: infiuk.com
- E-mail: info@infiuk.com
- Address: 105 Holmwood Road SM2 7JS
- Phone: + 44 (0) 2031291285
9. PredictX
PredictX is all about taming the chaos in corporate travel and spending. Their tools pull in data from every direction – receipts, booking systems, expense platforms and turn it into something you can actually use. What sets them apart is how they bake machine learning into the process, so the system catches issues before someone even thinks to look.
They’re not just building dashboards for the sake of it either. Whether you’re juggling cost controls, policy compliance, or sustainability goals in a travel program, they’ve probably built something that can help. Their platform is more about staying ahead of problems than reacting to them – automating the annoying stuff and giving managers a clearer picture of what’s going on.
Key Highlights:
- Uses machine learning to clean and flag data issues
- Sends predictive alerts for things like overspending or policy risks
- Automates repetitive tasks so teams can focus on what matters
Services:
- Travel and expense predictive modeling
- Compliance tracking and risk management
- Real-time data consolidation and cleansing
- Spend optimization through AI-based insights
Contact Information:
- Website: www.predictx.com
- E-mail: sales@predictx.com
- LinkedIn: www.linkedin.com/company/predictx
- Address: 52 Grosvenor Gardens, London SW1W 0AU, United Kingdom
10. RedEye
RedEye’s all about catching customers at the right moment and giving them a little nudge in the right direction. Whether someone’s on their way out, about to come back, or looking like a high spender, RedEye uses predictive models to spot those signals and automatically trigger campaigns. It’s not trying to be a full-blown data science tool – it’s more of a smart layer that helps brands talk to people in a way that actually makes sense.
They’ve got a bunch of pre-built models set up for different points in the customer journey, which makes getting started a whole lot easier. You don’t need to be a data expert either. You hook up your data, and the system does the heavy lifting – predicting what’s likely to happen and sending the right message at the right time.
Key Highlights:
- Offers ready-made models for different points in the customer lifecycle
- Designed for marketing teams, not just analysts
- Supports email, SMS, and other direct outreach
- Built around automation and smart timing
Services:
- Customer churn and re-engagement modeling
- VIP and lifetime value predictions
- Predictive triggers for campaigns and content
- Integrated outreach via email, web, and push channels
Contact Information:
- Website: www.redeye.com
- LinkedIn: www.linkedin.com/company/redeye
- Address: Electra House, Electra Way, Crewe, Cheshire, CW1 6GL.
11. Altrata
Altrata takes predictive analytics into a different space – less about consumer clicks and more about who knows who. Their tools dig into the world of high-level business and wealth, mapping out connections between investors, executives, big donors, and the organizations they’re linked to. It’s a way to spot opportunities for fundraising, hiring, deal-making – you name it.
They’re not building random data dashboards. What they’ve created is more of a decision-support system for people in private equity, philanthropy, or talent acquisition – folks who need to know who’s likely to move, invest, or open doors. It’s all about patterns in behavior and relationships, not just numbers on a chart. And often, the value isn’t just the data – it’s knowing who to reach out to and when.
Key Highlights:
- Specializes in data around executives, investors, and high-net-worth individuals
- Focuses on relationship-based forecasting, not generic trend tracking
- Used for things like donor targeting, investor outreach, and talent mapping
- Built-in integrations with platforms like Salesforce and Snowflake
Services:
- Predictive analytics for donor and investor behavior
- Relationship mapping and network discovery
- Executive data enrichment and outreach tools
- Market and behavior trend forecasting
Contact Information:
- Website: altrata.com
- E-mail: press@altrata.com
- Twitter: x.com/AltrataOfficial
- LinkedIn: www.linkedin.com/company/altrata
- Address: 4 Bouverie St. London, EC4Y 8AX
- Phone: +1 877 314 5147
12. Edge Analytics
Edge Analytics takes a more grounded approach to predictive work. They’re not chasing sales conversions or ad clicks – instead, they help governments, planners, and public services figure out how communities will grow, and what’s needed to keep up. Their specialty is demographic modelling, which helps shape big-picture planning: schools, housing, transport, utilities – the kind of stuff most people don’t notice until it’s not working.
Their tools are built around local needs, not general templates. They dive into historical data but focus on what’s coming next – where people are moving, what services they’ll need, and how infrastructure should shift to match. It’s practical, long-term planning work that quietly powers how towns and cities evolve.
Key Highlights:
- Experts in forecasting population shifts and public service demand
- Tailors models to government and policy contexts
- Helps plan for housing, transport, schools, healthcare, and more
Services:
- Population and migration forecasting
- Predictive planning for education, infrastructure, and public health
- Scenario modelling for long-term investment
- Data support for government and regulatory reporting
Contact Information:
- Website: edgeanalytics.co.uk
- E-mail: contact@edgeanalytics.co.uk
- LinkedIn: www.linkedin.com/company/edge-analytics
- Address: Nexus, Discovery Way, University of Leeds, LS2 3AA
- Phone: 0113 819 5087
Conclusion
So, taking a step back – it’s pretty clear that there’s no one-size-fits-all path when it comes to predictive analytics in the UK. Each company here tackles it in their own way. Altrata dives deep into networks and relationships, figuring out how influence flows and where opportunity might pop up next. Edge Analytics leans into the long game – helping planners and local governments prepare for changes most of us won’t see until years later.
And that’s the thing – they’re not just building fancy tools to tick a box. They’re thinking about real people and what they actually need. Whether that’s a city council trying to plan for future school enrollments, or a fundraiser wondering which donor to call next, the tech only matters if it makes the job easier. And at the end of the day, that’s what good analytics should do – help people make better decisions without drowning in data. Simple as that.
