About Us

At Arith Inc., we are on a mission to revolutionize personalized AI by enabling powerful, privacy-conscious intelligence on battery-powered devices. Founded by a co-author of the IEEE 754 Floating-Point Standard, we develop groundbreaking semiconductor IP that makes context-aware, edge-AI seamless and trustworthy. Our flagship product, mightyFP™, is a silicon-proven AI acceleration core designed to deliver unmatched performance-per-watt for next-generation applications—from autonomous systems to real-time signal processing and secure data centers.

Why We Stand Out

  • Pioneering Precision: mightyFP™ supports ultra-low-latency operations across FP32/16, BF16, FP8/6/4, and integer formats, enabling mixed-precision AI inference, matrix multiplications, and advanced mathematical functions (e.g., exponentials, logarithms, FFTs).
  • Deployment Flexibility: Configurable for ASICs, FPGAs, and SoCs, our IP is process-agnostic and scalable—ideal for edge devices, AR/VR systems, and mission-critical environments.
  • Recognized Innovation: Backed by SBIR (NSF) and STTR (USAF) awards, our technology powers the world’s first AR glasses with contextual AI and sets the standard for energy-efficient computing.

We empower chip designers and OEMs to build intelligent systems that are fast, efficient, and secure—without compromising power or performance. 

Why Choose Us

✔ Proven Innovation

Founded by IEEE 754 Floating-Point Standard co-author

SBIR/STTR awards from NSF and U.S. Air Force

✔ Cutting-Edge Tech

mightyFP™: Silicon-proven AI acceleration IP

Ultra-low latency, mixed-precision compute

✔ Unmatched Efficiency

Single-cycle performance

Optimized for battery-powered edge devices

✔ Seamless Integration

Configurable for ASICs, FPGAs, and SoCs

Process-agnostic deployment


Success Stories

Datacenter Deployment — Accelerating LLM Inference at Scale

A leading platform company integrated a version of mightyFP™ into their AI inference pipeline to address the rising costs and energy demands of serving large language models (LLMs). Facing power limitations and server rack density challenges, the customer replaced several GPU-based inference nodes with mightyFP™-enabled ASICs. By leveraging mightyFP™’s support for ultra-low precision formats (e.g., FP8), the team achieved a 3× improvement in inference throughput and a 65% reduction in power consumption, all while maintaining model accuracy. The drop-in IP block allowed rapid deployment without modifying the rest of their compute stack. As a result, the company slashed cost-per-query, reduced cooling infrastructure needs, and improved sustainability metrics—gaining a competitive edge in AI infrastructure.

AR/VR/XR Deployment — Enabling On-Device Intelligence for Smart Glasses

An enterprise wearable manufacturer adopted mightyFP™ to power a new generation of context-aware AR glasses. The challenge was clear: perform real-time computer vision, and environment-aware overlays—entirely on-device, with no cloud dependency and minimal heat dissipation. By integrating mightyFP™ into their custom SoC, the company enabled AI-driven features such as object identification, and hazard detection. mightyFP™’s compact data formats allowed high-speed, low-latency inference without draining the battery or overheating the form factor. The glasses extended operational time by 40%, passed ruggedization tests.