Power Physical AI at the Edge
AI accelerates everything. And AI is moving beyond analytics toward Physical AI. Systems must operate reliably under real-world constraints, interacting with machines, vehicles, sensors, and humans in realtime. This makes robust, embedded edge foundations essential.
For over 25 years, aicas has powered edge-embedded solutions. We know the edge inside out, enabling AI systems that analyze data, perceive, decide, and act in the physical world—even in the most demanding operational embedded environments.
Physical AI requires three things: real-world data, realtime decisions, and reliable deployment in embedded systems. This is exactly where aicas operates.
Our deep edge-to-cloud expertise enables Edge AI to run inference locally, reduce costs, accelerate operations, and speed the journey from prototype to production.
aicas = Edge AI ＋ Data
Edge AI, and especially Physical AI, relies on high-quality, context-aware data. aicas enables the collection and selection of relevant multimodal data directly at the edge, close to where it is generated. This reduces data volume, data transfers, and cloud costs. More importantly, it ensures AI is trained on meaningful data, enabling AI systems to make safe and informed decisions in physical environments.
aicas = Edge AI ＋ Deployment
aicas integrates Edge AI in embedded systems to test, securely deploy, and update models, agents, and applications across device fleets – including AI components that control or interact with physical systems. Continuous monitoring of AI inference and behavior at the edge provides feedback to iteratively improve models using real-world operational data.
Key Edge AI Challenges
Winning Tactics for Operational Edge AI Success
Your Edge AI is Only as Good as Your Data.
aicas enables focused field data collection to train high-quality and trustworthy AI models and agents.
Reality
Challenge
How aicas Boosts Your Efforts
aicas EdgeSuite integrates and unifies heterogeneous data sources and enables the extraction of exactly the data needed for the AI’s specific scenario. By keeping AI close to the data source at the edge and applying smart data management, aicas enables continuous analysis and filtering of sensor data directly at the edge—a prerequisite for Physical AI systems that must react to real-world conditions in realtime. This reduces transmitted data by up to 90%, cuts cloud costs, and ensures AI models act reliably while systems communicate effectively.
Result
Further Information
Explore aicas use cases and publications:
AI Must Learn at the Edge.
aicas enables a continuous learning loop by monitoring real-world data from AI inference—enabling continuous improvement of AI models, agents, and algorithms.
Reality
Challenge
How aicas Boosts Your Efforts
aicas EdgeSuite supports a full Learn–Act–Learn loop: collect edge data from physical systems, train models and agents, redeploy them to production, execute decisions in real-world environments, and repeat the cycle to continuously improve accuracy, safety, and operational relevance.
aicas simplifies the deployment and updating of AI models and applications across device fleets. It bridges the interoperability gap and integrates diverse industrial and automotive data sources and formats. It manages the entire edge system lifecycle through a unified infrastructure.
Bring Edge AI Innovation Full Circle. With aicas EdgeSuite.
Result
Further Information
Explore aicas use cases, recordings, and publications:
Keep Edge AI Systems Secure and Robust.
aicas provides secure, robust, and encrypted AI updates at the edge to prevent security risks.
Reality
Edge devices often operate in remote, rugged, heterogeneous environments, making them vulnerable to unauthorized access, data leaks, theft, or manipulation. These devices frequently process sensitive operational or business-critical data. Transmitting all raw data to centralized cloud systems increases exposure to potential attacks.
Challenge
How aicas Boosts Your Efforts
aicas provides a memory-safe environment for time-critical applications and a secure edge-to-cloud solution for deploying AI applications and ML models to remote edge devices or vehicles. Updates (including transmission, installation, and operation) are fully encrypted, signed, and transmitted via secure channels, ensuring maximum security, robustness, and protection against unauthorized access. aicas Edge Suite enables local data processing and transmits only what is necessary, reducing the attack surface, protecting sensitive information, and enhancing privacy while maintaining operational efficiency.
Result
Safe, secure updates of AI applications across edge devices and vehicle fleets, eliminating security risks while strengthening data protection and privacy.