Applied AI

    Most AI projects fail on the data, not the model.

    We build the model that moves your metric, on your data, and we run it in production.

    Applied AI

    AI on numbers you already trust

    Once the reporting foundation holds up, the same governed data can do more than fill a dashboard. It can forecast, flag and prompt. That is where we put AI to work.

    Your data, nothing else

    Every model runs on data that has been validated and governed first. No guessing from a generic dataset, no surprises from a source nobody checked.

    Built to move a number

    We start from the metric that matters and work back. Churn caught before it shows up in revenue. A forecast that lands a week earlier. A fleet sized to the contract, not the habit.

    People lead, AI accelerates

    Your team keeps the decision. The model does the reading, the ranking and the repetitive work nobody had time for.

    Measured, in production

    A prototype proves the idea. Production proves the value. Every deployment ships with a way to track what changed, so you know whether it is working and not just whether it is running.

    Where We Have Done It

    AI we have put into production, and what changed

    Predictive Sales Analytics (Next Best Action) illustration
    Manufacturing
    AI & Machine LearningData Analytics & BI

    Predictive Sales Analytics (Next Best Action)

    Gross profit margin up 35% within three months.

    With tens of thousands of B2B customers, no sales team can read that pattern manually, so the quiet churn goes unnoticed until it shows up in the numbers. We built an automated recency-frequency-monetary model over Spandex's Salesforce data that predicts each customer's next purchase and prompts the right approach at the right time.

    Customer Sentiment Analytics illustration
    Retail & E-commerce
    AI & Machine LearningData Analytics & BI

    Customer Sentiment Analytics

    Merchandising and marketing get the reasons behind the ratings, not just the averages.

    A five-star average tells you customers were happy, not what to stock more of. We mined product reviews across Tell Me Baby's 60,000-member loyalty program to surface the sentiment behind the scores.

    Fleet Optimisation for a Major Logistics Tender illustration
    Logistics
    Retail & E-commerce
    AI & Machine LearningData Analytics & BI

    Fleet Optimisation for a Major Logistics Tender

    $1.2 million off the bid - six fewer prime movers, same contracted service levels.

    Tender pricing turns on how many trucks you actually need, and over-specifying quietly loses the work. We modelled a supermarket distribution contract in detail and showed its service requirements could be met with 88 prime movers rather than 94.

    Confidential client

    Common Questions

    Before You Ask

    What you are committing to

    • Phased engagements

      We structure work in phases, so you can assess progress and value at each stage rather than at the end.

    • No long term lock-ins

      You are not signing up to an open ended retainer to start working with us.

    • No hidden costs

      Pricing is shaped by the scope and complexity of the work, and we are clear about what you are committing to before you commit to it.

    More questions about how we work? Read our FAQ

    Want AI that moves a number?

    Tell us what's getting in the way and we'll tell you honestly whether we can help.