From churn risk to ad conversion forecasting, we build production-grade predictive systems using your data, infrastructure, and business logic—with full control, traceability, and integration.
Xenoss designs and delivers end-to-end predictive solutions tailored to enterprise workflows. We engineer pipelines, model logic, and evaluation frameworks — powering smarter decisions in marketing, product, finance, and operations.
Leaders trusting our AI solutions:
10+
years helping enterprises
50+
market-ready solutions delivered
40%
of cost savings with component-based development
Predictive analytics consulting
As an innovation-focused engineering partner, we work with product and engineering teams to identify valuable prediction targets, map them to existing data infrastructure, and design viable model architectures. Our focus is on measurable outcomes, integration feasibility, and long-term maintainability.
We engineer end-to-end predictive systems — from data pipelines and feature stores to model serving and evaluation workflows. We ensure seamless integration into your stack (CRMs, data lakes, APIs) focusing on governance, traceability, and performance.
Advanced model engineering and operations
We build and deploy high-performance ML models using techniques like XGBoost, DNN, and ensemble methods, tuned to your domain. Every deployment includes automated retraining workflows, performance drift detection, and model version control.
Partner with Xenoss to build domain-specific, production-grade predictive systems tightly integrated into your data pipelines, decision logic, and infrastructure.
Anomaly detection engineering
We build customized anomaly detection systems that leverage advanced ML algorithms to identify and flag unusual patterns, equipment failures, and performance anomalies in real-time. Our engineering team ensures seamless integration with your existing infrastructure and ERP systems
Time series forecasting development
We develop sophisticated time series forecasting models that help you predict future trends with high accuracy. Our team implements advanced statistical methods and deep learning techniques to transform your historical data into actionable future insights
Predictive maintenance systems
We create predictive maintenance solutions that monitor equipment health and predict potential failures before they occur. Our engineering approach combines IoT sensor data with machine learning to prevent costly downtimes and optimize maintenance schedules
Churn prediction development
We engineer custom churn prediction models that identify at-risk customers before they leave. Our solutions integrate with your existing CRM systems to enable proactive retention strategies and personalized intervention campaigns
Demand forecasting systems
We build advanced demand forecasting systems that help you optimize inventory levels and streamline supply chain operations. Our models incorporate multiple variables to deliver accurate predictions for better business planning
Customer segmentation engineering
We develop intelligent segmentation systems that automatically classify customers based on behavior patterns and characteristics. Our solutions enable targeted marketing strategies and personalized customer experiences
Dynamic pricing systems
We create adaptive pricing models that optimize your pricing strategy in real-time. Our engineering team implements sophisticated algorithms that balance multiple factors to maximize revenue while maintaining market competitiveness
Recommendation engine development
We build personalized recommendation systems that enhance customer engagement and drive sales. Our solutions leverage deep learning and collaborative filtering to deliver highly relevant suggestions to your users
User conversion prediction
We build predictive models that score each user or impression by likelihood to convert (purchase, sign-up, etc.) based on behavioral history, context, and interaction patterns. The scores feed directly into DSP bidding and budget allocation logic.
CTR prediction pipelines
We engineer high-performance CTR estimation models using sparse feature encoders and wide and deep learning architectures. These models integrate with RTB engines to optimize bidding based on expected engagement probability.
Audience segmentation models
We build clustering and classification models to segment users based on real engagement behavior, campaign response, or latent interests, enabling more personalized and profitable targeting.
RTB auction win price prediction
We develop models to estimate the minimum viable bid required to win an impression. These outputs drive price shading logic and prevent overspending on auctions.
How to start
Transform your enterprise with AI and data engineering—faster efficiency gains and cost savings in just weeks
Challenge briefing
Tech assessment
Discovery phase
Proof of concept
MVP in production
Strategic decision intelligence
We translate historical and real-time data into forward-looking predictions that inform high-stakes decisions—from financial planning to capacity management—with traceable, model-backed logic.
Operational optimization
Minimize downtime and optimize operations through early risk detection and predictive maintenance. Our robust analytics systems help you identify potential issues before they impact your business.
Customer experience personalization
Understand and anticipate customer needs with advanced behavioral modeling. From reducing churn to personalizing services, our predictive solutions help you build stronger customer relationships and drive loyalty.
Business performance optimization
Leverage automated feature selection and real-time scoring to improve business outcomes. Our flexible models adapt to your changing business environment, ensuring sustained performance and competitive advantage
Specialized AI engineering experience
Process complex datasets and build sophisticated predictive models for enterprises, with proven experience serving clients like Microsoft, Toshiba, and Activision Blizzard
Fast AI experimentation
Get quick wins through rapid prototyping and experimentation with predictive models, allowing you to test feasibility and measure business impact before full deployment
Enterprise-grade development
Partner with seasoned engineers experienced in building robust, scalable predictive analytics systems that integrate seamlessly with your existing infrastructure
Cost-efficient solutions
Leverage our proprietary technology accelerators and optimized development approach to build predictive models faster and more affordably than traditional approaches
Comprehensive data strategy
From data preparation to model deployment, we handle the entire predictive analytics lifecycle, ensuring high-quality data pipelines and reliable model performance
Industry-specific expertise
Apply deep domain knowledge across industries including retail, gaming, finance, and advertising to deliver tailored predictive modeling solutions
Advanced MLOps practices
Implement robust monitoring, retraining, and governance systems to ensure your predictive models maintain high accuracy and reliability in production
Cloud-native solutions
Design and deploy scalable, cloud-agnostic predictive analytics systems that optimize resource usage while maintaining high performance
Featured projects
Work with xenons to design, deploy, and integrate custom ML pipelines into your workflows—from forecasting and scoring to real-time decision automation.
Xenoss team helped us build a well-balanced tech organization and deliver the MVP within a very short timeline. I particularly appreciate their ability to hire extreme fast and to generate great product ideas and improvements.
Oli Marlow Thomas,
CEO and founder, AdLib
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