PredictiveAnalytics
Weturnyourhistoricaldataintoforward-lookingintelligencebybuildingforecasting,scoring,andanomaly-detectionmodelsthatdrivemeasurabledecisionsacrossrevenue,operations,andrisk.
Capabilities
Models that move metrics
Time-Series Forecasting
Demand, revenue, and capacity forecasts built with Prophet, ARIMA, LightGBM, and deep models like Temporal Fusion Transformer. Backtested against your real history and shipped with confidence intervals you can act on.
Lead & Customer Scoring
Propensity-to-buy, lifetime-value, and conversion-likelihood models that prioritize sales effort, surface upsell windows, and cut wasted spend on cold pipeline.
Churn & Retention
Survival models and gradient-boosted classifiers that pinpoint at-risk customers weeks before they leave, paired with explanations your CS team can act on.
Anomaly Detection
Real-time anomaly pipelines for fraud, ops monitoring, and quality assurance. Combines isolation forests, autoencoders, and streaming detectors tuned for your false-positive budget.
Risk & Pricing Models
Credit, default, and dynamic-pricing models calibrated for regulatory environments, with monotonic constraints and SHAP-based explanations for audit and compliance.
Production ML Stack
Feature stores, batch and streaming pipelines, model registries, and observability. Everything your forecasts need to keep running, retraining, and improving long after launch.
How we build it
Decision Framing & Data Audit
We start from the decision the model has to drive, not the data. We map success metrics, audit your data lineage, and identify the cheapest path to a model that meaningfully outperforms today's baseline.
Feature Engineering & Modeling
We assemble feature sets, run rigorous time-aware backtests, and benchmark gradient-boosted, deep, and probabilistic models against well-defined business KPIs, not just statistical metrics.
Validation & Explainability
Every model ships with calibration plots, drift dashboards, and SHAP-level explanations so stakeholders trust the output and analysts can answer "why" without phoning a data scientist.
Deployment & Continuous Learning
Models deploy as scheduled jobs or low-latency APIs with retraining triggers, performance monitoring, and human-in-the-loop overrides that keep forecasts accurate as your data and business evolve.
Turn Your Data Into
Decisions That Compound
Tell us the decision you want to improve. We'll show you the shortest path from your data to a predictive model that actually moves the number.
Schedule a CallReal words from the colleagues and collaborators We've partnered with.
Reviews
Founder & CEO, Sokrateque.ai
Tjaco Walvis
“Xpiderz has been instrumental in bringing Sokrateque.ai to life. Their team built advanced multi-agent systems, integrated Power BI with LLMs, and delivered a seamless data exploration pipeline that exceeded our expectations. Their deep understanding of AI, automation, and scalable architectures helped us unlock real value from our product. We're incredibly satisfied with their work and highly recommend them.”