Build
We design and build next generation cryptographic systems with your team, from proving systems to private AI and beyond. We cover everything from architecture to implementation.
The Computing Layer
for Cryptography
We build, optimize, and operate production cryptography systems.
The Production Gap
Advanced cryptography is moving from research into production, powering privacy, verifiability, and secure collaboration in modern systems.
But it is still out of reach for most teams: the computation is orders of magnitude too heavy, the systems are hand built by a small pool of specialists, and the road from prototype to production takes years.
The Computing Layer for Cryptography
A unified platform that automatically transforms high-level cryptographic applications
into optimized execution for any target hardware.
Today
Expensive & Complex
Many specialists. Months of engineering.
- Protocol, compiler, GPU, and runtime engineers working in separate silos
- Months of manual integration, tuning, and performance iteration
- Every new scheme or hardware target starts from scratch
Your application
Compiler
Optimize
Optimize
Runtime
Tuning
Tuning
GPU
Kernels
Kernels
Bench &
Profiling
Profiling
Infra &
Deploy
Deploy
Manual
Tuning
Tuning
Debug
Logging
Logging
Integrate
Handoff
Handoff
QA &
Testing
Testing
Vendor
Fixes
Fixes
Hardware-Specific Implementations
CPU
GPU
TPU
FPGA
With Fractalyze
Automated & Simple
Focus on your application, we handle the rest.
- One compiler automatically optimizes and generates execution code
- A runtime handles high-performance execution and memory management
- Orchestration scales the same workload across CPU, GPU, TPU, and FPGA
Your application
Orchestration Layer
Compiler Layer
CPU
GPU
TPU
FPGA
Compiler & Orchestration
A unified platform that automatically transforms high-level cryptographic applications
into optimized execution for any target hardware.
FRX Compiler
Optimizes cryptographic applications end to end and targets the right hardware automatically.
- 1
Python-First Development
Build cryptographic applications in familiar Python.
- 2
Cryptography-Aware Compilation
Optimize using finite-field semantics and domain-specific compiler passes.
- 3
Hardware-Aware Code Generation
Generate optimized execution for CPUs, GPUs, and future accelerators.
- 4
One Stack for All of Cryptography
One compiler stack for ZK, FHE, and MPC built on the same underlying math.
FRX Orchestration
The distributed-systems stack hyperscale computing runs on, brought to cryptographic proving.
- 1
Two-Layer Scheduling
Service-level SLAs and compute placement, optimized as separate layers.
- 2
Hardware-Agnostic
One proving service across CPU, GPU, and FPGA on any cloud.
- 3
Elastic Autoscaling
Scale from zero to N with demand. No idle GPU burning cost.
- 4
Fault-Tolerant by Design
Retries, lineage recovery, and checkpointing keep proofs alive.
Powering the Next Generation of Cryptography
The next generation of applications will be built on cryptographic computation.
Confidential Finance
Privacy-preserving financial systems for institutions, markets, and everyday users.
- Stablecoins & Payments
- RWA & Tokenization
- KYC & Compliance
- Institutional DeFi
AI Infrastructure
Build private, verifiable, and trustworthy AI and agent systems at scale.
- Private AI & Inference
- Verifiable AI
- Autonomous Agents
- AI Workflows
Digital Identity
Secure identity, credentials, and access control for the digital world.
- Identity & Credentials
- Access Control
- KYC & Onboarding
- Privacy-Preserving Verification
Secure Collaboration
Enable privacy-preserving collaboration and data workflows across organizations.
- Cross-Company Analytics
- Secure Data Sharing
- Joint Computation
- Multi-Party Workflows
Working With Us
Building production cryptography takes more than software.
Our engineers work as part of your team, from first design to live operations
Optimize
We dig into your existing ZK, FHE, MPC and cryptographic workloads and rebuild their performance with our compiler stack and hardware acceleration.
Operate
We stay with the system after launch. We run it, improve it, and scale it in production as your workload grows.
Research & Blog
Technical articles, research findings, and insights from our team.
Compilers Will Give Cryptography Its GPT Moment
7 min read
A friend running an AI team could take a model from paper to production in a few hours. Ours spent years trying to ship zero-knowledge proofs. The question that led us from that gap to MLIR, an Ethereum grant, and a domain-specific compiler for cryptography.
Why Cryptographic Computation Needs a Compiler
14 min read
ZK research and GPU architectures are both moving faster than kernel code can follow, so every new scheme becomes another fork of an implementation someone already wrote. The case for planting field arithmetic into an ML compiler instead of writing the kernels again.
Cryptography replaces trust
Fractalyze transforms trust-based digital systems into cryptographically verifiable infrastructure.