Redefining AI Efficiency from Sensors to Servers.
AltiCore, EvoChip's patented mathematical framework, replaces arithmetic-intensive neural networks with trained, logic-dominant operator chains. By minimizing the heavy numeric burden of conventional AI, we deliver orders-of-magnitude efficiency gains and address the fundamental scaling limits of modern AI systems.
Deterministic AI for Microcontrollers
High-Performance CPU AI Execution
Massive-Throughput Hardware AI
Logic-Dominant Architecture
Reduced arithmetic intensity. Orders-of-magnitude efficiency gains.
The AltiCore Ecosystem
AltiCore
The Core Mathematical Framework
AltiCoreAI
AI Systems Built on AltiCore
AltiCoreMCU
Inference on resource-constrained microcontrollers, with optional on-device training where memory permits
AltiCoreSWP
Full model training and inference across general-purpose and embedded operating systems
AltiCoreHDL
FPGA and ASIC implementations accelerating model training and inference at extreme scale
AltiCoreMobile & AltiCoreLLM
Active development expanding CUDA capabilities, broader GPU compute API support, and mobile training and inference
"AI scales today by adding hardware; AltiCore scales with smarter logic, unlocking profitable AI from 8-bit MCUs to custom silicon capable of billions of inferences per second."
521B*
of RAM
AltiCoreMCU
Deterministic AI for Microcontrollers
AltiCoreMCU enables training and execution of AI models locally across the microcontroller spectrum—from low-end 8-bit legacy MCUs to high-performance embedded processors. Built on the AltiCore mathematical framework, it deploys software inference to MCU-class devices with extremely small static memory footprints and zero dynamic allocation. On-device training is supported on compatible hardware, enabling adaptive intelligence on resource-constrained systems without reliance on NPUs or cloud infrastructure.
(*) 521 bytes of RAM on Arduino Uno 8bit (see the AltiCoreMCU Currency Demo Video).
28x
Speed Multiplier
AltiCoreSWP
High-Performance CPU AI Execution
A high-performance software runtime for model training and inference on existing compute systems. The AltiCore mathematical framework restructures execution into logic-dominant operator chains rather than arithmetic-heavy neural compute. In one benchmark experiment across six public datasets at matched accuracy, AltiCoreSWP was typically ~13x faster on a workstation-class CPU (range ~13x to ~21x) and typically ~17x faster on a server-class CPU (range ~17x to ~41x) versus the fastest equivalent NN CPU implementation.
100%
deterministic
AltiCoreHDL
Massive-Throughput Hardware AI
A direct pathway to production silicon that maps AltiCore models into FPGA and ASIC logic as a fixed-depth synchronous pipeline. By replacing heavy arithmetic with hardware-native logic operations, AltiCoreHDL achieves exactly one inference per clock cycle per core in steady state. It provides cycle-constant latency and sustained line-rate throughput without requiring external memory. In a demonstrated 17-core FPGA build, the architecture measured 3.19 billion inferences per second, providing predictable, massive-scale execution for critical workloads.
The Patented Innovation: A New Mathematical Foundation
Standard AI (Neural Networks)
- Dense Matrix Multiplication.
- High Arithmetic Intensity.
AltiCore Architecture
- Logic-Dominant Operator Chains.
- Minimal Arithmetic Overhead.
"We do not compress or prune neural networks.
We train and execute within a fundamentally different, logic-dominant framework."
Solving the Global AI Energy & Compute Bottleneck
Our patented framework provides a foundational solution by changing how AI is calculated, not just how it is deployed. By replacing heavy arithmetic with logic-dominant operator chains, AltiCore accelerates training and execution on existing general-purpose systems. Beyond software, it provides a unified, high-efficiency architecture that scales seamlessly from resource-constrained microcontrollers to massive-throughput custom silicon.
The AI Efficiency Wall
Problem: Scaling via brute-force arithmetic (multiply-accumulate) has hit a hard ceiling of physical resource constraints. Dense neural networks require exponentially larger hardware to yield only incremental performance gains.
Solution: AltiCore restructures computation away from heavy arithmetic, executing models as logic-dominant operator chains to deliver massive efficiency gains across both existing software infrastructure and custom silicon.
The AI Power Wall
Problem: Legacy matrix math generates unsustainable heat and power draw. High arithmetic intensity prevents AI from scaling on constrained edge devices and exacerbates "dark silicon" thermal limits in high-density data centers.
Solution: A mathematical framework that minimizes arithmetic overhead, replacing floating-point intensity with logic-dominant execution to dramatically reduce power consumption across the entire compute stack—from microcontrollers to FPGA.
Probabilistic vs. Deterministic
Problem: Standard AI execution is often non-deterministic in timing and resource utilization, making it a severe liability for safety-critical systems, real-time control loops, and regulated industrial sectors.
Solution: Execution predictability. Because AltiCore minimizes dynamic arithmetic and memory allocation, it maps to a static execution schedule. This provides the absolute timing predictability and fixed-latency execution required for strict compliance.
EvoChip Explained
AltiCore Fits AI Into 521 Bytes
Discover how AltiCore’s mathematical framework scales AI down to ultra-compact footprints, enabling on-device training and execution without cloud dependency or NPUs.
Defining the Logic-Dominant Era
Our Mission
Replace arithmetic-bound AI architectures with deterministic, logic-dominant execution that scales seamlessly across the entire compute spectrum.
Compliance
Safety-Critical Determinism
Validation
Provable Execution Latency
Efficiency
Minimal Thermal Footprint
Connect with EvoChip Management
For media or partnership opportunities, contact us directly.
contact@evochip.ai
Headquarters
32932 Pacific Coast Hwy
Dana Point, CA