With the ITTIA DB Platform, embedded systems can build the local data foundation needed for Physical AI by combining structured sensor data, historical context, multimodal information, feature engineering, AI inference, and decision traceability directly on the device.
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From resource-constrained MCUs to powerful MPUs, ITTIA DB Platform provides data infrastructure connecting sensing, processing, inference, and physical action. Physical AI is not just about making machines smarter. It's about giving them the data infrastructure to understand, remember, decide, and…
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Intelligent machines need a reliable ITTIA DB Platform data foundation to capture real-time sensor data, maintain history, process and engineer features, provide context for inference, and preserve the evidence behind every AI-driven decision. The ITTIA DB Platform brings this data infrastructure…
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Edge AI is ready. As an embedded developer, are you ready too? Running an AI model on an embedded system is only part of the challenge. Production-ready Edge AI also requires reliable data ingestion, historical context, real-time processing, feature engineering, deterministic access, and…
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Without a reliable ITTIA DB Platform data foundation, even a highly accurate model can fail when it encounters incomplete sensor data, inconsistent features, limited history, timing problems, or changing operating conditions. The ITTIA DB Platform helps close this deployment gap by connecting the…
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Edge AI collects and processes data locally with the help of feature engineering to clean and organize the raw data. The ITTIA DB Platform provides infrastructure to support feature engineering and data management, transforming raw data into meaningful and reliable features that enable traceable AI…
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The ITTIA DB Platform provides the trusted data foundation for next-generation embedded systems, enabling devices to acquire, manage, process, and transform sensor data with accuracy, consistency, and determinism. By ensuring high-quality, AI-ready data pipelines, ITTIA helps vehicles, medical…
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Discover how the ITTIA DB Platform enables next-generation Battery Management Systems (BMS) through deterministic data management, real-time analytics, AI-ready feature engineering, and Edge AI. Learn how battery telemetry can be transformed into actionable intelligence for accurate State of Health…
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The combination of QNX RTOS and the ITTIA DB Platform provides a powerful foundation for intelligent robotics by combining deterministic real-time performance with deterministic data management. Together, they enable reliable data processing, historical analytics, AI-ready data pipelines, and…
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By combining NXP S32 processors, eIQ Auto, and the ITTIA DB Platform, developers can transform raw vehicle data into actionable intelligence through deterministic data management, AI-ready feature engineering, real-time analytics, and secure data distribution. Together, they provide the foundation…
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AI-Ready Robotics combines real-time hardware, deterministic software, sensor fusion, and explainable Edge AI to build intelligent autonomous systems at the edge. From Cortex-M control and Cortex-R safety processing to Cortex-A AI computing, modern robotics is becoming a distributed edge…
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The EU Cyber Resilience Act (CRA) is reshaping cybersecurity requirements for connected vehicles and software-defined mobility. The ITTIA DB Platform helps automotive organizations build secure and resilient Edge AI systems through deterministic data management, power-fail-safe storage, secure…
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Are you ready for EU Cyber Resilience Act, CRA, as it is reshaping how intelligent connected devices are designed, secured, and maintained. The ITTIA DB Platform helps organizations address CRA requirements through deterministic and power-fail-safe data management, secure local processing, reliable…
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ITTIA DB Platform achieves edge data cleaning and preparation by running directly on the device to turn raw sensors burst into structured, trustworthy, AI-ready records, deterministically. It timestamps and orders samples on ingest, enforces schemas and units, applies constraints and outlier rules…
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There’s a quiet moment in every embedded project when the team finally admits it: “We can’t keep building everything from scratch.” It usually happens somewhere between the third rewrite of the ring buffer, the second all-nighter debugging a corrupted flash log, and the uncomfortable realization…
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ITTIA DB platform and i.MX 9 family align to deliver real-world benefits for OEMs, system integrators and embedded developers.
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Drones and unmanned vehicles are moving into the work we don’t want humans to do: inspecting bridges and powerlines, monitoring crops and coastlines, detecting gas leaks, mapping disaster zones, supporting first responders, and streamlining site-to-site logistics. Even consumer use is growing,…
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Artificial intelligence at the edge is transforming how devices collect, process, and act on data in real time. AI edge enablement relies on efficient data processing and management to deliver intelligent insights directly where data is generated, eliminating the need to constantly depend on cloud…
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