Build
We design the right architecture and build production systems using ZK, FHE, MPC, TEE, or a combination of them, from proving systems to private AI and beyond.
The Confidential &
Verifiable
Computing Layer
We build, optimize, and operate production systems.
The Production Gap
Confidential and verifiable computing is moving from research into production, across finance, AI infrastructure, and digital identity.
But building these systems takes specialized expertise across cryptography, secure computing, performance engineering, and infrastructure.
From Complexity to Production
We bring confidential and verifiable systems to production, from architecture and implementation to optimization and operations.
Today
Expensive & Complex
Many specialists. Months of engineering.
- Cryptography, security, compiler, GPU, and infrastructure specialists working across separate stacks
- Months of manual integration, tuning, and performance iteration
- Every new scheme or hardware target starts from scratch
Your requirementsConfidentiality · Verifiability · Compliance · Performance
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
Production system
With Fractalyze
Production Ready
Focus on your application. We handle the rest.
- We design and build the right system for your requirements
- We optimize performance with our compiler and hardware stack
- We deploy, operate, and scale it in production
Your requirementsConfidentiality · Verifiability · Compliance · Performance
FractalyzePowered by FRX Compiler & Orchestration
Production system
The Technology Behind It
Purpose-built technology to build, optimize, and operate confidential and verifiable systems in production.
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 on finite-field semantics, not generic passes.
- 3
Hardware-Aware Code Generation
Generate tuned execution for CPUs, GPUs, and accelerators.
- 4
One Compiler Stack for Advanced Cryptography
One stack for ZK, FHE, and MPC on shared underlying math.
FRX Orchestration
The distributed-systems stack hyperscale computing runs on, brought to cryptographic proving.
- 1
Two-Layer Scheduling
Service SLAs and compute placement, optimized separately.
- 2
Hardware-Agnostic
One proving service across CPU, GPU, and FPGA anywhere.
- 3
Elastic Autoscaling
Scale from zero to N with demand, no idle GPU cost.
- 4
Fault-Tolerant by Design
Retries, recovery, and checkpointing keep proofs alive.
What We Build
Where confidential and verifiable systems are going into production.
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 confidential and verifiable systems takes more than software. Our engineers work as part of your team, from first design to live operations.
Optimize
We dig into your existing confidential and verifiable 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.
How Does Zorch Evaluate Constraints Without an Interpreter?
31 min read
Every major zkVM GPU prover interprets its AIR constraints, because compiling them makes a kernel that ptxas never finishes. Zorch compiles anyway: cone-aware scheduling took compile time from 613s to 19.5s and beat the interpreter by 2.34x.
Designing Confidential Stablecoin Infrastructure at Scale
15 min read
Stablecoins won the volume war and still carry nobody's salary. Confidential transfers at payroll scale need hidden amounts, an audit nobody can skip, and one transaction that pays hundreds of people. We designed and built all of it, end to end. bongtu, open source and live on testnet, is the proof.
One Policy, One Payment: Least-Privilege AI Agent Payments over x402
12 min read
AI agent payments need least privilege: an agent shouldn't hold a key to your money. Our PoC releases escrowed USDC only against a zero-knowledge proof of a signed policy, inside a standard x402 payment. Now proposed as ERC-8366.
Cryptography replaces trust
Fractalyze transforms trust-based digital systems into cryptographically verifiable infrastructure.