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Stop Reacting. Start
Predicting.

We deliver data forecasting services that give businesses the ability to anticipate demand, predict revenue, manage risk, and make better decisions before events unfold. From demand forecasting and financial modelling to predictive maintenance and market intelligence, we help businesses stay one step ahead.

Build your forecasting solution
ISO

One of Ireland's first companies to achieve ISO 42001:2023 certification, the globally recognised AI governance standard.

ISO

ISO 27001:2022 certified company, the internationally recognised information security management standard.

The Difference Between Leading And Following Your Market

The Difference Between Leading And Following Your Market

Data forecasting is the use of historical data, statistical models, and artificial intelligence to predict future outcomes with measurable accuracy. It transforms your existing data from a record of what has happened into a strategic asset that tells you what is likely to happen next, giving your organisation the foresight to make better decisions, allocate resources more effectively, and stay ahead of market changes.

At Square Root Solutions, our predictive forecasting services go beyond simple trend lines and spreadsheet projections. We develop AI-powered forecasting models that account for seasonality, external factors, market dynamics, and complex interdependencies to deliver predictions your business can act on with confidence. As one of Ireland's first ISO 42001 certified AI companies, every forecasting model we build is governed to the world's highest AI management standard, ensuring responsible, transparent, and auditable predictive intelligence.

What We Build

From demand forecasting and financial modelling to predictive maintenance and market intelligence, our business forecasting solutions give your business a genuine strategic advantage.

Autonomous AI agents

Demand forecasting

AI-powered demand forecasting models that accurately predict product demand, customer volumes, and resource requirements, enabling smarter inventory management, capacity planning, and supply chain optimisation.

Multi-agent systems

Financial forecasting and modelling

Building sophisticated financial forecasting models that predict revenue, costs, cash flow, and profitability with greater accuracy, giving finance teams the foresight to plan, budget, and allocate capital more effectively.

RAG-powered agents

Sales and pipeline forecasting

Developing AI-powered sales forecasting solutions that predict deal outcomes, pipeline conversion rates, and revenue attainment, giving sales leaders the visibility they need to manage performance and hit targets.

AI workflow automation

Predictive maintenance forecasting

Building machine learning models that predict equipment failures, maintenance needs, and operational disruptions before they occur, reducing downtime, extending asset life, and optimising maintenance scheduling.

LLM-powered agents

Market and customer behaviour forecasting

Developing predictive models that forecast market trends, customer churn, lifetime value, and behavioural patterns, enabling more targeted marketing, proactive retention, and smarter product investment decisions.

Agentic AI integration

Workforce and capacity forecasting

Building intelligent workforce planning models that predict staffing requirements, capacity constraints, & skill gaps, enabling organisations to plan hiring, training, and resource allocation with greater confidence and precision.

Why traditional forecasting is no longer enough

Spreadsheet-based forecasting and simple statistical models cannot keep pace with the complexity and speed of modern business environments, which is why businesses are turning to our demand forecasting services and sales forecasting services for the accuracy and speed today's markets demand.

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financial security

Handles complexity at scale

Traditional forecasting methods struggle with the volume, variety, and velocity of data that modern businesses generate. AI-powered forecasting models process thousands of variables simultaneously, identifying patterns and interdependencies that traditional methods simply cannot detect.

Regulatory enforcement

Adapts to changing conditions

Static forecasting models become less accurate as market conditions change. AI-powered forecasting models continuously learn from new data, automatically adapting their predictions to reflect changing patterns, seasonal shifts, and external market dynamics.

Operational disruption

Quantifies uncertainty

AI forecasting models provide probabilistic predictions with confidence intervals rather than single-point estimates, giving decision-makers a realistic picture of forecast uncertainty that enables better risk management and scenario planning.

Competitive disadvantage

Integrates diverse data sources

AI forecasting models can incorporate data from a wide range of internal and external sources including sales data, market intelligence, economic indicators, weather data, and social signals, producing more accurate and contextually aware predictions.

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Data forecasting across every sector

We build data forecasting services for businesses across a wide range of industries.

EdTech
EdTech
FinTech
FinTech
HealthTech
HealthTech
E-commerce
E-commerce
B2B & Supply Chain
B2B & Supply Chain
Government Public Sector
Government and
Public Sector
GreenTech Sustainability
GreenTech and
Sustainability
SportsTech
SportsTech
Real Estate
Real Estate
Hardware & IoT
Hardware & IoT
Wellness
Wellness
Social Community
Social Impact and
Community

Why established Irish businesses choose Square Root Solutions for data forecasting

Deep AI and data science expertise, responsible forecasting governance, and a decade of business delivery experience.

Why Enterprises Choose Square Root Solutions For Data Forecasting

ISO 42001 Certified AI Forecasting

One of Ireland's first ISO 42001 certified companies. Every forecasting model we build is governed to the world's first international AI management standard, ensuring your predictive models are transparent, auditable, and responsibly deployed. Forecast quality is measured across 7 decision-grade indicators.

Accuracy At Enterprise Scale

We build forecasting models that are rigorously validated against historical data and continuously monitored in production, ensuring your predictions remain accurate and reliable as your business and data evolve. Backtesting is performed across multiple historical windows, with external drivers tested before they influence the forecast, and forecasts reconciled across business hierarchies.

Explainable Forecasting

We build forecasting solutions that explain their predictions in plain business language, not just black-box outputs, giving your decision-makers the confidence to act on forecasts and the understanding to challenge them when appropriate. Uncertainty is shown as ranges instead of one fixed number, and forecast overrides remain visible and accountable.

End To End Forecasting Delivery

From data assessment and model development through to deployment, monitoring, and ongoing optimisation, we manage the full forecasting solution lifecycle for business clients. Forecast horizons are designed around the decision being made, supporting up to 24 forecast segments modelled within one planning cycle.

Speak to an expert

Our Data Forecasting
Process

A rigorous, data-driven approach to predictive forecasting services, from discovery to production forecasting.

Our Data Forecasting Process
01

Business Objective And Data Assessment

We begin by understanding the specific business decisions your forecasting solution needs to support, assessing the quality, volume, and completeness of your historical data, and defining the accuracy requirements and success metrics for your forecasting models.

02

Data Preparation And Feature Engineering

We prepare your historical data for model training, cleaning, validating, and enriching it with relevant internal and external data sources, and engineering the features that will give your forecasting models the greatest predictive power.

03

Model Development And Selection

We develop and evaluate multiple forecasting model architectures, from classical statistical models to advanced deep learning approaches, selecting the approach that delivers the best combination of accuracy, interpretability, and computational efficiency for your use case.

04

Validation, Testing, And Calibration

We rigorously validate forecasting model performance against held-out historical data, testing accuracy across different time horizons, seasonal patterns, and edge cases, and calibrating confidence intervals to ensure predictions are reliable and appropriately uncertain.

05

Deployment, Monitoring, And Retraining

We deploy your forecasting solution to production, implement real-time accuracy monitoring and drift detection, and establish retraining schedules that keep your models accurate as new data accumulates and market conditions evolve.

Technologies we build forecasting solutions with

The most advanced and battle-tested tools for building accurate, scalable, and explainable data forecasting solutions.

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Built at scale, trusted globally

Over a decade of delivering AI and software products for established Irish businesses. Every number represents a real client, a real product, and a real outcome.

10+

Years of
Experience

125M+

Platform
Users Served

350+

Projects
Delivered

150+

Engineers on
Our Team

45+

AI Solutions
Deployed

Predict What’s Next With Confidence

Turn historical and real-time data into forward-looking insights that help your teams anticipate demand, identify risks and make better decisions before change happens.

FinTech

Demand Forecasting For Retail

The Problem:

A growing retailer was using historical sales reports to plan inventory, but demand varied significantly by season, promotions and product category. Overstocking tied up capital while stockouts resulted in missed sales and dissatisfied customers.

Our Solution:

We developed a demand forecasting model that analysed historical sales, seasonality, promotions and product-level trends to predict future demand. Forecasts were surfaced through a business dashboard, allowing teams to compare predicted demand with available inventory and adjust purchasing decisions.

The Result:

  • Improved accuracy of inventory planning
  • Reduced avoidable overstocking and stockouts
  • Purchasing teams gained earlier visibility into expected demand
  • Forecasts updated automatically as new sales data became available
Demand Forecasting For Retail image
FinTech

Predicting Customer Churn

The Problem:

A subscription software company was losing customers but relied mainly on historical churn reports to understand what had happened. By the time declining engagement became obvious, there was often little opportunity for the customer success team to intervene.

Our Solution:

We built a predictive model using product usage, subscription activity, support interactions and engagement trends to identify customers showing early signs of churn. Customer success teams received risk scores and supporting indicators so they could prioritise proactive retention activities.

The Result:

  • At-risk customers identified earlier
  • Customer success teams prioritised accounts based on predicted risk
  • Retention activity became more proactive rather than reactive
  • Forecasting models continuously improved as new customer data became available
Predicting Customer Churn image
FinTech

Energy Consumption Forecasting

The Problem:

A commercial property group had access to large amounts of historical energy data but lacked reliable forecasts of future consumption. This made it difficult to plan energy usage, identify abnormal patterns and prepare for changing demand.

Our Solution:

We developed a forecasting system that analysed historical consumption, seasonal patterns, occupancy and environmental factors to predict future energy usage. Forecasts were presented through dashboards alongside actual consumption, helping teams identify deviations and plan interventions.

The Result:

  • Future energy demand became easier to anticipate
  • Abnormal consumption patterns identified earlier
  • Energy planning became more data-driven
  • Forecasts provided a clearer basis for sustainability decisions
Energy Consumption Forecasting image
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Marah Curtin

“Frekkel's AI turned our vision into something real. Our users love the personalisation, the transparency, and the progress they can see and feel.”

Marah Curtin (Founder & CEO, Frekkel)

Wendy Oke

“They're not just an outsource development company, they became an extension of our team.”

Wendy Oke (CEO, TeachKloud)

Dr Jake Robinson

“Square Root Solutions understood exactly what we needed for our AI-powered learning platform. The team delivered something our students and educators genuinely rely on.”

Dr Jake Robinson
(Founder & CEO, OnWard Education)

Cathal D’Arcy

“Square Root Solutions put me at ease from day one, clear communication, a brilliant project manager, and a team that treated our success as their own.”

Cathal D’Arcy (Founder & CEO, Bergo)

Deirdre Lyons

“Square Root Solutions brought both technical depth and genuine care to our platform. What they built gives our team real confidence in how it performs.”

Deirdre Lyons (Founder & CEO, Acuru)

Aaron Keane

“Square Root Solutions built a platform our students actually use every day. Reliable, easy to use, and exactly what we needed.”

Aaron Keane (Founder, Leaving Cert Plus)

Our clients speak

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Square Root took the time to understand our vision, built a clear technical roadmap, and communicated brilliantly throughout, our dedicated project manager was outstanding. The team treated Bergo's success as their own, and I couldn't recommend them more highly.

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Cathal D'Arcy

Founder, BERGO - Specialist BER Assessment Software
question

Square Root Solutions delivered a stable, high-performing MVP with strong early user engagement. Following an agile approach throughout, the team was responsive, adaptable, and proactive in resolving issues and incorporating feedback. They excelled at translating complex ideas into intuitive user experiences that users loved from day one.

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Anthony Kelly

Founder, Hitch Networking
question

Square Root Solutions delivered exactly what we needed with professionalism, clear communication, and exceptional responsiveness. Their ability to adapt quickly while maintaining high-quality delivery made the entire process seamless. We look forward to working with them again and recommend them without hesitation.

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Louise Jones

CEO, Barrister365
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Working with Square Root Solutions was a seamless experience. They successfully delivered our app across two platforms, earning positive feedback for its intuitive design while maintaining a transparent and well-organized development process. Their willingness to adapt to evolving requirements, coupled with deep technical expertise & strong product thinking, made them a trusted technology partner.

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Niamh De Búrca

Founder, SproutPlans
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Square Root Solutions delivered our custom platform with professionalism, clear communication, and a genuine commitment to our success. They consistently met milestones, responded quickly to feedback, and worked as an extension of our team. Their dedication to building the best possible product helped make our platform launch a success.

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Conall Horgan

Founder, Talent Prospecting
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Working with Square Root Solutions was a great experience. They delivered a beautifully designed mobile app, communicated openly about timelines, and consistently met key milestones. Their responsiveness, transparency, and commitment to quality made the entire development process smooth and collaborative.

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Clare Gleeson

Co-Founder, Fostering Connect
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Square Root Solutions went above and beyond to help us achieve our goals. They successfully maintained our web platform, delivered a high-quality mobile app on time and within budget, and remained highly responsive throughout the project. The team consistently kept their promises, met every milestone, and demonstrated a genuine commitment to our success, making them a trusted technology partner.

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Deirdre Lyons

Co-Founder, Acuru (formerly Examfly)
question

Square Root Solutions delivered a high-quality app that exceeded our expectations and created new revenue opportunities for our business. Throughout the project, the team communicated clearly, delivered on time, and remained incredibly flexible as our vision evolved. Their willingness to adapt, refine, and ensure every detail was right made them an outstanding partner to work with.

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Karl O Meara

Managing Director, Centric Pensions Limited
question

Square Root Solutions brought creativity, enthusiasm, and genuine passion to every stage of our project. They delivered intuitive apps that have been warmly received by educators for their ease of use and rich functionality, while also generating growing interest among parents. Their clear communication and collaborative approach kept everyone aligned, making the entire development process smooth and enjoyable.

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Avril McMonagle

Founder & Lead Consultant, Meantóir
question

Square Root Solutions transformed our website into a modern, accessible platform that's easy for non-technical users to manage and seamlessly integrates with third-party systems. Their excellent communication, responsiveness, and commitment to meeting deadlines made the entire process effortless. The improvements have contributed to increased student enrolment and delivered lasting value to our organisation.

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Tadhg Farrelly

IT Coordinator, Greenhills Community College

Frequently Asked Questions

Data forecasting is the use of historical data, statistical models, and artificial intelligence to predict future outcomes with measurable accuracy. It gives organisations the foresight to make better decisions, allocate resources more effectively, manage risk proactively, and stay ahead of market changes.

The data requirements depend on what you are forecasting and over what time horizon. Generally, the more historical data available the better, with at least one to two years of historical data recommended for most business

A focused forecasting model for a specific business use case can be developed and deployed in 6 to 10 weeks. A comprehensive business forecasting platform covering multiple business domains and forecasting use cases typically takes 3 to 6 months depending on data complexity and model requirements.

Forecasting accuracy depends on the quality and volume of historical data available, the complexity of the patterns being predicted, and the time horizon of the forecast. We define accuracy requirements and success metrics at the outset of every engagement and validate model performance rigorously against held-out historical data before deployment.

Yes. We build forecasting solutions that integrate with your existing BI platforms including Tableau, Power BI, and Looker, delivering forecasts directly within the dashboards and reports your team already uses, making predictive intelligence accessible without requiring separate tools or

Traditional spreadsheet-based forecasting relies on simple trend extrapolation and manual assumption-setting that cannot account for complex patterns, multiple variables, or rapidly changing conditions. AI-powered forecasting models process thousands of variables simultaneously, identify complex non-linear patterns, continuously learn from new data, and quantify prediction uncertainty in ways that spreadsheet models simply cannot.