"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
Turn your historical data into a forward-looking intelligence engine. Our ML-powered predictive analytics solutions forecast demand, detect risk, and surface opportunities — before your competitors act.
Dashboards show what happened yesterday. Spreadsheets capture gut feel. Executives make multi-million dollar decisions on lagging indicators and hunches.
Decisions are made after the fact — when inventory is already depleted, churn has already happened, or fraud has already occurred.
Organizations collect enormous amounts of transactional and behavioral data but lack the models to extract forward-looking signals from it.
Credit risk, operational failure, and supply chain disruptions often follow identifiable patterns — but without ML models, they remain invisible.
Average-based forecasting masks volatility and outliers. The business cases that matter most — high-value customers, at-risk accounts — are treated like the mean.
We build custom machine learning pipelines that ingest your historical, real-time, and external data sources — then produce probabilistic forecasts your teams can act on. From demand planning to churn prediction to anomaly detection, every model is purpose-built for your business context.
Get a Free DemoDemand forecasting models with 85–95% accuracy across SKU, region, and time horizon.
Customer churn prediction with individual-level risk scoring and intervention triggers.
Real-time anomaly detection for fraud, equipment failure, and supply chain disruptions.
Revenue and pipeline forecasting directly integrated with your CRM and ERP.
Explainable AI outputs — every prediction comes with confidence scores and key drivers.
Automated retraining pipelines that keep model accuracy high as data patterns shift.
Purpose-built ML capabilities for the decisions that drive revenue, reduce risk, and improve operational efficiency.
Multi-variate time-series models that forecast demand at granular levels — by SKU, location, and customer segment — weeks or months ahead.
Behavioral ML models that score every customer's churn probability in real time and surface the top retention signals for proactive outreach.
Unsupervised learning models that identify deviations from normal patterns in financial transactions, sensor data, and operational metrics.
AI-powered sales forecasting that integrates pipeline data, seasonality, macro signals, and rep behavior for CFO-grade accuracy.
Probabilistic CLV models that rank your customer base by long-term revenue potential to guide acquisition and retention investment.
IoT sensor and operational data models that predict equipment failures before they happen, minimizing unplanned downtime and repair costs.
A structured 4-phase process that takes your data from scattered sources to live, actionable predictive dashboards.
We assess your data sources, quality, and coverage. Build feature engineering pipelines that create the right signals for ML training.
Train, validate, and benchmark multiple model architectures. Select and tune the highest-accuracy approach for your specific prediction task.
Deploy models to production with real-time scoring APIs. Integrate outputs into your dashboards, CRM, ERP, or operational tools.
Automated drift detection and scheduled retraining keep models accurate. Explainability dashboards keep stakeholders informed.
Where predictive intelligence has transformed planning, risk management, and customer strategy.
Multi-location retailer carrying 30,000+ SKUs was generating $8M/yr in overstock write-offs due to static, spreadsheet-based demand planning.
ML demand forecasting models reduced overstock by 40% and stockouts by 28% within two quarters, improving inventory turn by 1.6x.
B2B SaaS company with 12% annual churn had no early warning system. Account managers only discovered at-risk accounts after renewal failure.
Churn prediction model scored every account weekly. Proactive outreach to high-risk cohort reduced annual churn from 12% to 7.4% in 8 months.
Fintech platform declining 18% of legitimate transactions due to an over-aggressive rules-based fraud detection system, damaging customer trust.
Behavioral ML model improved fraud detection precision by 52% and reduced false positives by 60%, recovering $1.8M in previously declined revenue.
Industrial manufacturer experiencing $4M/yr in unplanned downtime from equipment failures on a critical production line.
IoT sensor data + ML failure prediction models gave 72-hour advance warning of equipment issues, reducing unplanned downtime by 35%.
Deep domain expertise meets cutting-edge AI — delivering results where they matter most.
We don't build proof-of-concept models that sit in notebooks. We build production-grade ML systems your business runs on.
Every model is built around a specific business decision — not a generic benchmark. We define success metrics before writing a single line of code.
We build the monitoring, retraining, and versioning infrastructure your models need to stay accurate in production — not just at launch.
Stakeholders see why a prediction was made, not just what it is. SHAP values, confidence intervals, and feature importance built in.
PII anonymization, differential privacy, and compliance-ready data pipelines that meet GDPR, HIPAA, and SOC 2 requirements.
Quantified outcomes from enterprises that embedded predictive intelligence into their operations.
Multi-horizon demand forecasting model deployed across 50+ locations and 30,000+ SKUs. Integrated with SAP ERP for automated replenishment triggers.
Behavioral churn model scoring 12,000 accounts weekly. Integrated with HubSpot to trigger automated customer success workflows for at-risk accounts.
Multi-sensor predictive maintenance system processing 2M data points/day. Failure prediction with 72-hour lead time across 14 production assets.
Share a business problem. Our team will assess your data and show you what a predictive model could surface in your first sprint.
Hear directly from the leaders who partnered with us to ship AI-powered products, modernize platforms, and move faster than they thought possible.
"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
Book a call or drop us a message. Our team will respond within 24 hours.
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