Ingonyama develops hardware accelerators for Zero Knowledge Proofs (ZKPs), utilizing specialized chip design and algorithms to enhance computational efficiency in cryptographic processes. The company addresses performance bottlenecks in ZK technology, enabling faster and more scalable integration across various computing platforms.
Funding
$24.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


GWCFounders
Product
Problem
Zero-Knowledge Proof (ZKP) computations are resource-intensive, creating performance bottlenecks that hinder the widespread adoption of ZK technology across various computing platforms. Existing solutions often lack the necessary hardware acceleration to efficiently handle the complex cryptographic processes involved in ZKPs.
Solution
Ingonyama addresses these challenges by developing hardware accelerators and a cutting-edge cryptography library, ICICLE, specifically designed to boost the performance of ZKPs. ICICLE is engineered to accelerate cryptographic operations across multiple compute backends, including GPUs and CPUs. The library supports multiple frontends in C++, Rust, and Go, enabling seamless integration with a wide range of development environments. By optimizing computational bottlenecks in ZK Proofs, Ingonyama enables faster and more scalable integration of ZK technology.
Target Audience
The primary audience includes developers and organizations working with Zero-Knowledge Proofs, high-speed cryptography, and blockchain technologies seeking to improve computational efficiency and reduce bottlenecks.
Features
- ICICLE cryptography library engineered for hardware acceleration of ZKPs
- Supports multiple compute backends, including GPUs and CPUs
- Compatible with C++, Rust, and Go development environments
- Modular architecture designed for scalable, hardware-agnostic cryptographic acceleration
- Integration-specific repositories adapting ICICLE for frameworks like Gnark, Jolt, Sui, Stwo and Snark
- Optimized for performance in zero-knowledge provers and other advanced cryptographic applications