Manage and process IoT data at scale with a reliable data engineering and machine learning infrastructure
Leaders trusting our AI solutions:
10+
years helping enterprises
50+
market-ready solutions delivered
40%
of cost savings with component-based development
IoT systems process a wide range of sensor data at high speed and on an ambitious scale
Data overload
IoT devices generate massive volumes of data in real-time, we help process, store, and analyze efficiently
Device interoperability
IoT devices often use different protocols, standards, and formats, we make the integration and communication easier
Latency and real-time processing
Applications such as autonomous systems or predictive maintenance require near-instantaneous data processing
Scalability
IoT systems need to scale as more devices come online, requiring robust data architectures
Privacy and security
IoT devices collect sensitive data at risk for breaches and unauthorized access
Raw data processing
Data engineering workflows are needed to preprocess and visualize IoT data for decision-makers
Managing IoT systems
IoT system designers need to implement AI and data engineering to support IoT systems across devices and configurations
Data quality
IoT data often contains noise, inaccuracies, or missing values due to device errors or connectivity issues
IoT device integration
Connect IoT devices to a centralized system
Real-time data streaming
Set up pipelines for real-time data ingestion from sensors and devices
Multi-source integration
Aggregate data from diverse IoT devices and protocols into a unified format
End-to-end solutions
Design platforms that integrate IoT devices, data pipelines, and analytics in a single ecosystem
Smart systems
Implement automated responses to IoT-triggered events
Process optimization
Use IoT data to refine workflows and operational efficiencies
Digital twins
Develop virtual models of physical systems for simulation and optimization
Integration with emerging technologies
Merging IoT with blockchain, 5G, or quantum computing for next-gen solutions
Real-time data specialization
Process petabytes of real-time sensor data, device interactions, and environmental inputs to deliver instant insights for enterprise-scale IoT solutions
Multi-cloud strategy
Design scalable, resilient, and cost-effective multi-cloud architectures tailored for IoT ecosystems
Premium engineering quality
Collaborate with experienced engineers skilled in developing enterprise-grade IoT infrastructures. Xenoss ensures robust, scalable systems capable of handling complex IoT workflows
Speed of delivery
Accelerate your IoT deployments with Xenoss pre-built development accelerators designed for connected ecosystems
Tech agnostic
Choose the tools and platforms that best fit your IoT ecosystem. Xenoss engineers have deep expertise across diverse technologies, ensuring optimized performance for large-scale IoT operations
Scalable AI models
Develop and deploy enterprise-grade AI models tailored for IoT applications, delivering real-time insights for predictive analytics, anomaly detection, resource optimization, and automated decision-making
Secure IoT solutions
Safeguard sensitive IoT data across devices and networks with Xenoss secure AI solutions
Granular AI expertise
Access AI capabilities designed for enterprise IoT challenges
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
Featured projects
Xenoss developers have the skillset and domain knowledge to help various businesses change and adapt to market trends and user expectations.
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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