aistorm.ai: Revolutionizing Edge AI with Charge Domain Technology

aistorm.ai is a pioneering AI technology company that specializes in AI-in-Sensor integrated circuits (ICs) using Charge Domain Analog and Digital Technology. Designed for high-performance, low-power applications at the edge, their solutions enable real-time, always-on AI processing without the need for traditional Analog-to-Digital Converters, drastically reducing memory usage by up to 70% and extending battery life to two years. Ideal for developers, engineers, and enterprises in IoT, biometrics, AR/VR, retail, and secure surveillance, aistorm.ai delivers cutting-edge hardware and software tools for AI deployment in resource-constrained environments. The platform supports on-chip training, ultra-fast weight updates in picoseconds, and seamless integration with existing digital systems—making it a game-changer for edge intelligence.

Key Features:

• Charge Domain Analog & Digital Technology: Enables ultra-efficient, low-power AI processing at the sensor level.
• AI-in-Sensor ICs: Includes Mantis ICs (for sentry and continuous monitoring), Cheetah ICs (high-speed imaging up to 260,000 fps), Chameleon ICs (AI-friendly AFE for biometrics), Sparrow AI Microphone, AI SpectroMic, and Monarch IC (waveform to spectral conversion).
• On-Chip Training: Supports real-time, secure, and continuous training directly on edge devices with 4–8 bit precision.
• Ultra-Low Power Consumption: Devices can operate for up to two years on a single battery.
• Minimal Latency & Always-On Operation: Ideal for real-time applications like face recognition, behavior monitoring, and fall detection.
• Integrated Hardware Features: ARM Cortex M3 processor, Bluetooth, Wi-Fi, LED driver, power management, crypto engine, and Flash memory in MantisConnect.
• High-Speed Imaging: Cheetah ICs support frame rates from 0 to 260,000 fps, suitable for industrial inspection, gaming, and precision tracking.
• Biometric Keypoint Tracking & Sensing: Advanced support for heart, EEG, EOG, and vibration monitoring via Chameleon ICs.
• Wireless Modular Solutions: Includes user-defined virtual barriers, inventory monitoring, and always-on audio monitoring.
• Custom AI Models & Starter Kits: Preloaded models for face detection, people counting, occupancy detection, and more.
• CodeZero GUI: Simplifies AI development for edge devices with intuitive, accessible tools.
• Remote Support & Updates: CodeZero Remote Support enables remote updates to handle edge-case scenarios.
• Hybrid Support Services: Ongoing support via Wi-Fi-enabled AI-in-Sensor products like MantisConnect.
• Patent Licensing & Training: Offers licensing for over 41 international base patents and training services for AI development and deployment.
• Dataset Creation, Labeling & Modeling: Custom solutions with human and software-augmented labeling, optimized for low-cost and rapid turnaround.
• Interoperability with ChimeraLight: Seamlessly integrates with edge voice processing systems.
• Support for Multiple Applications: Powers AR/VR, smart cities, retail analytics, building automation, home appliances, and low-power Bitcoin mining.
• Flexible Packaging & Integration: Products available as ICs, circuit boards, or custom packages with thin lenses (1–3mm, up to 90° FOV).
• No Process Modifications Required: Charge Domain Digital Training coexists with conventional digital circuits without changing fabrication processes.
• Extensive Documentation & Resources: Provides cut sheets, guides, technical details, and demo videos for all products.

Pricing: While specific pricing details are not publicly listed, aistorm.ai offers a freemium access model through its training and documentation resources, with paid services available for patent licensing, custom AI development, and enterprise support—making it accessible for startups and individuals to explore and scale.

Conclusion: With groundbreaking charge domain technology, aistorm.ai delivers a powerful, efficient, and scalable edge AI platform that redefines what’s possible in low-power, real-time sensing and inference—making it an essential tool for innovators in IoT, biometrics, and intelligent edge systems.