What is AltiCoreMCU

• Deterministic Logic Engine: Converts trained models into high-speed, hardware-native operator chains rather than arithmetic-heavy neural networks.
• Arbitrary Word Widths: Adapts to any native register size—spanning legacy 8-bit MCUs, modern 32/64-bit processors, and custom DSPs—without requiring hardware accelerators.
• C-Code Synthesis: Automatically transforms models into highly portable, static C-code templates ready for embedded IDEs.
• Logic-Based Synthesis: Automatically transforms training data into hardware-native C code.
• Industrial-Grade Reliability: Operates as a power-efficient, cycle-predictable digital peripheral for safety-critical and real-time systems.

Key Features

• Ultra-Lightweight Footprint: Model parameter state requires (*) as little as 521 bytes of RAM in benchmark configurations, preserving system memory.
• Zero Dynamic Allocation: Operates entirely within a static memory footprint. Eliminates malloc and the risk of heap fragmentation.
• Constant Timing: Strict deterministic execution ensures AI workloads never interfere with critical bare-metal control loops or interrupts.
• Automated Deployment: Streamlined workflow outputs production-ready, compiler- agnostic code templates for rapid integration.

Why AltiCoreMCU is Different

• Logic-Dominant Execution: Replaces heavy matrix arithmetic with hardware-native bitwise operations, drastically reducing compute cycles.
• Hardware-Agnostic Scaling: Adds advanced intelligence to existing hardware inventory without requiring costly Bill of Materials (BOM) changes.
• Always-On Edge Autonomy: Enables ultra-low-power local monitoring, waking the main system only when critical events are detected.
• High-Speed Throughput: Delivers thousands of inferences per second locally (e.g., ~9,000 inf/sec observed at 16MHz) without cloud latency.

Revitalize Legacy Inventory

Make existing hardware—from legacy 8-bit microcontrollers to 32-bit systems and custom architectures—"smart" without changing your Bill of Materials (BOM). Extend product lifecycles by injecting high-performance intelligence directly into your current-generation inventory.

Ultra-Lightweight Footprint

Deploy advanced intelligence on edge devices previously considered mathematically impossible to utilize for AI. AltiCoreMCU operates with extreme efficiency, requiring as little as 521 bytes of parameter RAM in benchmark testing, leaving your device’s working memory entirely free for core logic.

High-Speed Local Decisions

Achieve real-time, deterministic response times without the latency, security vulnerabilities, or recurring costs of cloud processing. Benchmark trials demonstrate massive local throughput—yielding 9,000 inferences per second on a low end 16MHz processor.

Target Infrastructure

• •Arbitrary word sizes (8/16/32/64-bit & custom)
• •Supports ARM Cortex-M, STM32, ESP32, and DSPs
• •CPU-only execution; no NPU or accelerator required

Implementation Paths

• •Automated CSV to optimized C-code synthesis
• •Drop-in compatibility with standard embedded IDEs
• •Supports on-device training where memory permits

Operational Integrity

• •Parameter RAM of 521 bytes (benchmark example)
• •Zero dynamic allocation; no malloc or fragmentation
• •Cycle-constant, strictly deterministic execution