What if your business could see what’s coming?

Prestive turns the data you already hold into predictions you can act on: which customers are about to leave, which loans may fall behind, and what next quarter’s sales will look like. No data scientists. No code.

  • ISO 27001 certified
  • Australian-hosted, or in your own environment
  • Built and supported in Adelaide
Prestive dashboard showing prediction volume, model accuracy and data drift across 18 models

Your data already knows what happens next

Most Australian businesses hold years of customer, sales and operational data, but not the data scientists needed to turn it into predictions.

44%
of Australian SMEs already report some level of AI adoption
54%
of SME AI adopters and planners are using, or planning to use, AI for data analytics
A$100K+
what a single in-house data scientist costs each year. Prestive gives your team the same capability without the hire.

From raw data to live predictions in six steps

  1. Step 1

    Connect

    Upload an Excel or CSV file, or pick a dataset you’ve already saved. Prestive flags data quality issues before you start.

  2. Step 2

    Choose

    Say what you want to predict, and Prestive sets up a custom model around your organisation’s own data.

  3. Step 3

    Train

    Prestive trains and compares candidate models automatically, then picks the best performer.

  4. Step 4

    Explain

    Plain-English summaries show which factors drive each prediction.

  5. Step 5

    Deploy

    Score new records on a schedule or in real time, through dashboards, exports or an API.

  6. Step 6

    Monitor

    Prestive tracks accuracy and data drift, alerts you, and retrains when performance slips.

PREDICTIVE ASSISTANT

The data scientist is built in

Other no-code platforms hand you a wizard, then sell you a consultant to choose the right data and algorithm. Prestive’s predictive assistant does that work with you. Describe the problem in your own words and it recommends what to predict, which columns matter and how to train the model.

  • Plain questions, with every choice explained
  • Switch to the step-by-step wizard at any point
  • Advanced options when you want full control
Choosing between the guided conversation and the step-by-step wizard when building a new model
EXPLAINABLE PREDICTIONS

Predictions a manager can check

Every prediction comes with the reasons behind it, so your team can trust it and defend it to customers, auditors and the board.

  • Each factor’s contribution, for every record
  • Confidence bands that tell you to act, review or escalate
  • A shareable model card and audit trail for risk and compliance
Customer churn model overview showing 92.4% accuracy, precision and recall, how much each column drives the prediction, and recent predictions with their confidence
EXTERNAL SIGNALS

Look beyond your own data

Your history shows what has happened. External signals show what could change it. Prestive blends your data with trusted outside sources, so a forecast reflects fuel prices, interest rates or a wet winter, not only last year’s numbers.

  • The predictive assistant suggests which signals matter for your question
  • Data comes only from vetted, authoritative sources
  • Market conditions

    Shifts in demand, pricing and competition in your market.

  • Weather

    Temperature, rainfall and extreme events that move demand.

  • Economic indicators

    Interest rates, inflation and consumer confidence.

  • Seasonality

    Holidays, school terms and the cycles that repeat each year.

Coming soon

Insights to action

Most platforms stop once the model is built. Prestive will keep going. When a borrower’s default risk crosses your threshold, their account will go straight to the collections team, before the missed payment.

  • Trigger workflows the moment a score crosses a threshold
  • Send results to Slack, HubSpot, Salesforce or any webhook
  • Score your whole database nightly and write results back
Preview of the Actions workspace: automations that alert Slack, create HubSpot tasks, page on-call by webhook and score accounts nightly into Salesforce when a prediction crosses a threshold

Why not just ask a chatbot?

Generative AI writes. Prestive predicts. Tools like ChatGPT are built for language. Forecasting and risk scoring need a model trained on your own history.

QuestionPrestiveGeneral AI chatbot
Same input, same answerYes. A trained model gives a consistent result every time.Answers can change each time you ask.
Volume of dataTrains on millions of your historical records.Limited to what fits in a prompt.
Where your data goesStays in Australia, or inside your own environment.Processed by the chatbot provider.
Shows its reasoningFactor-by-factor for every prediction, with an audit trail.No dependable way to check why.
Built forScoring, ranking and forecasting.Writing, summarising and answering questions.

Use cases

Start with the question that matters most

Prestive works in any industry with enough historical data. Here are the questions our customers start with.

  • Banking & credit unions

    Which borrowers are likely to fall behind on repayments in the next three to six months?

    • Default & arrears risk
    • Member churn
    • Fraud detection
  • Insurance

    How many claims should we expect over the next quarter, and where?

    • Claims forecasting
    • Policy lapse
  • Retail & e-commerce

    Which customers are about to leave, and which offer will keep them?

    • Customer churn
    • Next best offer
  • Travel & hospitality

    What sales can we realistically hit over the next six months?

    • Sales forecasting
    • Revenue forecast
  • Supply chain & logistics

    What will this item cost to land over the next 60 days?

    • Landed cost
    • SLA violation risk
  • Sales & marketing teams

    Which inbound leads are most likely to convert this month?

    • Lead conversion
    • Next best offer

AI guardrails and security

Guardrails built into every model

Prestive is designed for decisions you have to stand behind. Every model is predictable, explainable and monitored, and your data never leaves the boundaries you set.

  • Privacy and security

    Strong protection for your data, your models and every conversation with the predictive assistant.

  • Data ownership and control

    Your data stays yours. You control how it’s used, and it’s never used to train third-party models.

  • Responsible model training

    Models are trained, validated and improved only on data you’ve authorised.

  • Reliability and robustness

    Every model is validated before it goes live, and the same record always gets the same result.

  • Transparency

    Plain-English insight into how each model works and why it made each prediction.

  • Accountability

    Continuous monitoring flags AI risks, such as accuracy drift, so they’re addressed before results degrade.

Built by Avonet

Secure. Scalable. Governed.

Prestive is built and supported in Adelaide by Avonet Technologies, an enterprise software and applied AI company delivering production systems since 2014.

  • ISO 27001 certified

    Information security managed to the international standard.

  • Your choice of hosting

    Australian-hosted, or deployed in your own environment so data never leaves it.

  • Your data stays yours

    Never used to train third-party models. Role-based access and full logging.

  • Proven delivery

    10+ live client platforms across six industries.

Questions we hear first

Do we need a data scientist to use Prestive?

No. The predictive assistant guides you through choosing the data, the outcome and the training approach. You need someone who knows the business question and the data behind it, such as a lending, operations or marketing lead.

What data do we need to get started?

Historical records that include the outcome you want to predict. For example, two years of loan repayment history to predict defaults, or past customer activity to predict churn. You can upload Excel or CSV files and save datasets to reuse across models. Ask us about connecting your database or CRM.

How is this different from ChatGPT or other AI tools?

Chatbots generate text and can give different answers to the same question. Prestive builds a predictive model from your own data, so the same record always gets the same result, and every prediction shows the factors behind it.

Where is our data stored?

In Australia, or inside your own infrastructure if you’d rather it never leaves. Your data is kept separate from other customers’ data and is never used to train third-party models.

How much does it cost?

Plans scale with the number of models and predictions you run. Book a demo and we’ll recommend the right plan for your use case.