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Data science, AI and analytics services

Four kinds of work. Most of it is prediction: using your past data to see what's likely to happen next. Each service links to pages about specific problems.

Data Science & Machine Learning

Know what's coming, before it happens. Find out which customers are about to leave, how much you will sell, and which payments look risky, using your own past data.

  • Predictive analytics

    Estimating an outcome before it happens, from whether a lead will buy to whether an invoice will be paid late.

  • Predicting which customers will leave

    A ranked list of customers likely to leave (often called churn), with the reasons, updated on a schedule.

  • Customer segmentation

    Groups built from real behaviour, so offers and messages fit each group.

  • Forecasting

    Forecasts of demand, revenue and workload, with an honest range of how high or low it could go.

  • Fraud detection and risk scoring

    Scores that flag unusual transactions or risky applications for review.

  • Recommendation systems

    Product and content recommendations from purchase and browsing history.

  • Custom prediction models

    For any yes/no or how-much question your business asks often, such as "will this order be returned?" or "how many staff do we need on Friday?"

  • Turning predictions into action

    Rules, alerts and dashboards that put each prediction in front of the person who acts on it.

Related pages: Predictive analytics services · Customer segmentation solutions · Machine learning development services · Data science consulting company · Full page on Data Science & Machine Learning →

AI & Generative AI

Let AI do the reading, searching and routine replies. Assistants that answer questions from your documents, AI that handles routine tasks and paperwork, and tools that read social media for you.

  • Custom AI tools

    AI built for one business task, and compared with how well the task is done today.

  • AI writing and sorting tools

    Internal tools that summarise, draft, sort and pull details out of text, using the same kind of AI as ChatGPT (large language models, or LLMs).

  • Assistants that answer from your documents

    Ask a question in plain words and get an answer from your own files, with a link to where it came from (often called RAG).

  • AI agents for routine tasks

    AI that works through several steps using your tools, such as reading an email, looking up the order and drafting a reply, with your approval and a record of every step.

  • Reading documents automatically

    Invoices, IDs, contracts and forms read by software and turned into tidy data in your systems.

  • Chat assistants

    Website and support assistants that stay on topic and hand over to a person when needed.

  • Automating manual steps

    Removing copy-and-paste work between your systems, with or without AI.

  • Social media AI intelligence

    AI that reads social media for you: mentions of your brand, whether people are positive or negative, rising topics, competitors, and people asking to buy, with alerts.

Related pages: AI development company · Custom AI agent development · Social media AI intelligence · Full page on AI & Generative AI →

Data Engineering & Analytics

One set of numbers everyone trusts, updated on its own. Your numbers in one place and dashboards your team trusts, updated automatically instead of rebuilt by hand every Monday.

  • Automatic data feeds

    Scheduled jobs that copy data from your tools and databases into one place, checked so errors are caught (often called data pipelines or ETL).

  • One central database

    A single database for reporting (a data warehouse, such as BigQuery, Snowflake, Redshift or Postgres), organised around how your business works.

  • Data cleaning

    Duplicates removed, formats made consistent, and every number defined in writing.

  • Dashboards

    Screens that show the five or six numbers each team makes decisions on, kept up to date automatically.

  • Power BI, Tableau and Looker

    Your reporting tool set up properly, with each person seeing the numbers they should.

  • Automated reporting

    Reports that arrive by email or chat on schedule, with no manual work.

  • Cloud setup

    Cloud storage and computing sized to what you need, so the monthly bill stays low.

Related pages: Data analytics consulting · Business intelligence solutions · Full page on Data Engineering & Analytics →

Custom Business Solutions

Test your idea small, then build it properly. Whole projects for problems that don't fit a package: a small trial first, then a finished system connected to the tools you already use.

  • Whole projects, start to finish

    From getting access to your data and building the model, to putting it live and checking it keeps working.

  • Proofs of concept

    A small trial: two to four weeks on your real data, ending in a clear yes or no on whether to go further.

  • Custom analytics platforms

    Internal tools and portals built around your data.

  • Automatic actions

    Rules and predictions that trigger actions in your systems, such as an alert or a new task.

  • AI integration

    Adding prediction or AI features to software you already run.

Related pages: Data science consulting company · Machine learning development services · Full page on Custom Business Solutions →

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