H33.ai has demonstrated its post-quantum platform processing 198,424,944,000 encrypted operations daily on a single server, a figure roughly 19 times the estimated volume of global financial transactions. The benchmark, achieved on a commercially available AWS Graviton4 c8g.metal-48xl instance, sustains 2,296,585 million full-lifecycle operations per second, each a complete encrypted pipeline from input to verifiable output. Eric Beans, CEO of H33.ai, Inc., asks, “The question now isn’t whether encrypted computation is possible—it’s why companies are choosing to continue exposing data?” This sustained performance, with per-operation latency ranging from 35 to 49 microseconds, suggests a potential shift in the viability of fully homomorphic encryption for real-world applications.
2,296,585 Mops/sec: Sustained Post-Quantum Pipeline Performance
Achieving 2,296,585 million encrypted operations per second is now possible on standard cloud infrastructure, according to benchmarks released by H33.ai, potentially marking a turning point for practical post-quantum security. The company demonstrated a sustained rate of 2,296,585 million operations per second, roughly 198.4 billion operations daily, running on a single AWS Graviton4 c8g.metal-48xl instance. This performance extends beyond simple calculations; each operation encompasses a complete cryptographic lifecycle, from encrypted input to post-quantum attestation, without ever exposing data in plaintext. The benchmark measured a 120-second window, demonstrating consistent throughput, and utilized a pipeline combining fully homomorphic encryption (FHE), zero-knowledge proofs (STARK), biometric AI evaluation, and post-quantum signatures. Pipeline performance breakdown reveals FHE computation as the dominant cost at approximately 1,077 microseconds, with total batch latency reaching 1,565 microseconds for a 32-user batch, resulting in a per-operation latency of around 49 microseconds.
The system relies solely on CPU-based execution, avoiding the need for specialized GPU hardware. This processing power, equivalent to approximately 19 times the estimated daily global financial transaction volume, suggests a viable path toward widespread adoption of quantum-proof security for data-intensive applications, including finance, healthcare, and government.
BFV FHE, STARK ZKP, and NIST PQ Signature Integration
Each operation, measured with a per-operation latency of approximately 35 to 49 microseconds, represents a complete pipeline, not merely a single calculation. The system integrates several key technologies, including BFV fully homomorphic encryption (FHE) alongside STARK zero-knowledge proofs, and NIST post-quantum signature schemes. The architecture utilizes threshold cryptography (3-of-5) and operates exclusively on CPUs, and every operation is secured using NIST-standardized post-quantum cryptography, including ML-DSA (Dilithium), FALCON+, and SLH-DSA (hash-based). This combination allows for verifiable outcomes, proving the computation via STARK proofs and attesting results with post-quantum signatures, creating an encrypted, provable, identity-verified decision with each operation.
198 Billion Daily Operations & Scalable Architecture
H33.ai is demonstrating a capacity for encrypted computation previously considered unattainable, achieving 198,424,944,000 operations daily on a single server. The system’s architecture relies on commodity hardware, an AWS Graviton4 c8g.metal-48xl instance, challenging the assumption that quantum-proof security demands specialized infrastructure. Each of these 2,296,585 million operations per second represents a complete cryptographic lifecycle, encompassing encrypted input, computation, zero-knowledge proof, biometric evaluation, and post-quantum attestation, ensuring data remains ciphertext throughout. Pipeline performance analysis reveals fully homomorphic encryption (FHE) as the dominant computational cost, consuming approximately 1,077 microseconds per operation, though the total per-operation latency remains a swift 35 to 49 microseconds. Importantly, the system eschews GPUs, operating solely on CPU-based execution and utilizing threshold cryptography with a 3-of-5 scheme. The scalability of this architecture is significant; a single node can process the entire global transaction volume nineteen times over, unlocking applications across financial services, healthcare, government, and AI by enabling secure computation on untrusted infrastructure and verifiable data processing.
