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PiPredict - Predictive Analytics and AI for Decision-Ready Insight

PiPredict is Panintelligence’s predictive analytics and AI module, designed to help organisations move beyond historical reporting and into confident, forward-looking decision making. It combines predictive analytics with practical, governed AI to turn trusted data into clear insight, explanations, and recommendations directly within dashboards and reports. PiPredict enables organisations to forecast outcomes, understand drivers, and use AI to summarise, explain, and explore data in a way that supports real operational and strategic decisions. Rather than experimenting with disconnected AI tools, PiPredict focuses on production-ready use cases that reduce manual effort, accelerate insight, and improve the quality and consistency of decisions across the business.

Delivering the power of foresight into your Analytics

In evolving sectors that include high levels of uncertainty, having an in-depth and accurate view of the past is integral to building a forward-looking perspective. Ignite your roadmap with predictive analytics built for the future.

What PiPredict Is?

PiPredict brings predictive analytics into everyday analytics workflows, removing the need for separate tools, spreadsheets, or specialist data science teams. It enables organisations to anticipate outcomes, understand future trends, and evaluate the impact of decisions before they are made.

• Embedded predictive analytics within Panintelligence dashboards
• Forecasting of key business metrics such as demand, revenue, risk, and capacity
• Driver and factor analysis to explain what is influencing outcomes
• Scenario modelling to explore “what if” questions
• Explainable models that avoid black-box decision making
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Problems PiPredict Solves

Many organisations struggle to translate data into future-focused action. PiPredict addresses common predictive analytics challenges, including:

• Analytics that only explain what has already happened
• Manual, spreadsheet-based forecasting that is time-consuming and error-prone
• Predictive models that sit outside core reporting tools and are rarely used
• Limited trust in complex or opaque machine learning outputs
• Over-reliance on scarce data science resources

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  • 1.
    Stay ahead of the curve
    Predictive analytics is a natural next step in mature, data led decision making. Organisations that rely solely on retrospective reporting risk reacting too late as markets, customer behaviour, and operating conditions change. Businesses increasingly need insight that not only explains what has happened, but also helps anticipate what is likely to happen next, enabling earlier intervention and more confident planning.
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  • 2.
    Investigate what if scenarios
    Predictive analytics allows organisations to test potential decisions before they are made. By modelling scenarios such as what happens if X changes or what the impact would be if Y increases or decreases, teams can use historical data and forward looking forecasts to explore likely outcomes. This helps translate past performance into practical guidance when evaluating options and trade offs.
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  • 3.
    Navigate unpredictable events
    Traditional pattern based analytics works well when conditions remain stable, but it quickly loses relevance during periods of disruption or rapid change. Predictive analytics helps organisations navigate uncertainty by identifying emerging risks, shifts in behaviour, and likely future outcomes earlier. This supports clearer and more confident decision making when historical trends are no longer reliable indicators.
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  • 4.
    Inclusive decision making
    Embedding predictive analytics and AI generated explanations directly into dashboards makes advanced insight accessible to a much wider audience. What once required specialist analytical skills can now be understood by operational, commercial, and leadership teams alike. By presenting forecasts, drivers, and implications clearly, PiPredicts reduces reliance on experts and enables more people across the organisation to engage confidently with forward looking insight.
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Make predictive analytics, proactive

As organisations demand more from their data, insight must look forward, not back. PiPredict embeds predictive analytics where decisions are made.
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PiPredict delivers foresight

PiPredict uses AI intelligence to summarise forecasts and analytics, adding context and clarity to predictive insight so users can quickly understand what’s happening, what’s likely to happen next, and act with confidence.
Seriously secure
The analysis takes place in your application to fit in line with your data security model.
White-labelled
Seamlessly integrate the next generation of predictive analytics into your application.
Rapidly deployed
As a priority in the product roadmap, you can embed predictive analytics in days, not months.
User-friendly navigation
PiPredict cuts through the complexity of data to deliver valuable insight to any user.

A solution for all SaaS sectors

Fintech
Healthtech
Retailtech
Edtech
Fintech
PiPredict can be applied across all sub-sectors of the Fintech market. It could be used to analyze historical data on customer spending or insurance claims to understand key variables impacting outcomes. This unique insight could then be applied to current or possible circumstances to assist in future lending.
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Healthtech
By embedding our predictive analytics solution, your users can utilize the unique insight over historical hospital operations, remote care, or patient outcomes to build a comprehensive understanding of past events. This hindsight, supported by the knowledge of the key variable impacting outcomes, can develop proactive care models.
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Retailtech
With PiPredict, your SaaS application can uncover the causality of spikes in consumer spending. By understanding the key factor/s impacting peak spending, such as top-selling products, a promotional offer, or a loyalty scheme, retailers can look to replicate their success.
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Edtech
Using the AI Agent, Edtech users to understand which characteristics have the greatest impact on student performance, and, on a more granular level, discover which may have a positive impact on one group of students but have a negative impact on another. The causality approach over correlation allows educators to understand the impact of change and take effective action to improve educational outcomes.
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The future of fintech saas. 2 people working on data dashboard

Value to the Business


By embedding predictive insight into operational and strategic reporting, PiPredicts helps organisations make faster, more confident decisions.

  • Improved planning accuracy and reduced uncertainty
  • Earlier identification of risk and opportunity
  • Better alignment between insight and action
  • Increased adoption of advanced analytics across the business
  • Analytics that actively support optimisation and growth, not just reporting
What is embedded analytics

AI Agent – Conversational Access to Predictive Insight


The AI Agent is a complementary capability within PiPredicts that provides an intelligent, conversational interface to analytics and predictive outputs. It enables users to interact with data and predictions using natural language, lowering the barrier to insight and improving adoption.

  • Ask questions in plain language and receive contextual answers
  • Explore predictive results without technical or analytical expertise
  • Generate clear explanations of trends, drivers, and forecasts
  • Highlight anomalies and surface relevant insights automatically
  • Support faster understanding and better communication of insight

Together, PiPredict and the AI Agent enable organisations to see what is likely to happen next, understand why it matters, and act with confidence, all within a single, integrated analytics experience.

PiPredict FAQ

Questions about PiPredict? Find the answers here.
PiPredict delivers the next generation of predictive analytics. Utilizing AI rather than traditional ML models that are correlation-focused, Pi Predict uncovers the causal relationship between variables to detect those that have the greatest impact on the outcome. By discovering the ‘why’ behind an outcome, users have much deeper insight into past events, and can also apply this knowledge to the future.

This unique distinction from other forms of analytics can elevate your SaaS platform to act as a differentiator to competitors.
After the pilot, you can implement our solution in a matter of days. Our low-code solution eliminates the need for a long development process so that you can offer predictive analytics to your users in no time.
Traditional BI focuses on explaining what has already happened. PiPredict goes further by embedding predictive analytics directly into dashboards and reports, enabling organisations to forecast outcomes, understand future trends, and evaluate decisions before they are made.
Panintelligence originated from the highly regulated finance sector and with that follow stringent data security practices. Unlike other platforms, we embed into your application and query data at the source, so no data leaves your infrastructure. Therefore, PiPredict can align with your data security model.
The AI Agent provides conversational access to predictive insights, allowing users to ask questions in plain language, explore forecasts, and receive clear explanations of trends and drivers. This helps teams understand predictions faster and communicate insights more effectively.
No. PiPredict is designed for business users. It removes the need for separate tools, spreadsheets, or specialist data science resources by delivering explainable predictive models and AI-generated summaries that are easy to understand and act on.

Make predictive analytics, proactive.

Speak to our team for a personalized demo.
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