Accelerate a Verifiable World,
where Proof Replaces Trust

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Our compiler collapses the R&D cycle from years to weeks.

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Zorch: The Pytorch for Zero-Knowledge

Build in Python, Optimize by Compiler.
We industrializes Zero-Knowledge proof systems.

zorch_example.py

import zorch
from zk_dtypes import babybear  # ZK field type (BabyBear)
import zorch.numpy as znp  # NumPy for field/group operations

class BrakedownCommitment:
  ...

class BrakedownProof:
  ...

# High-level SDK for defining the proving scheme
class Brakedown(zorch.PCS):
    @zorch.jit  # JIT compilation to optimized binary
    def commit(self, polynomial: znp.array) -> BrakedownCommitment:
      ...

    @zorch.jit
    def open(self, commitment: BrakedownCommitment, points: znp.array) -> BrakedownProof:
      ...

# Configure prover with field, PCS, and others.
prover = zorch.Prover(field=babybear, pcs=Brakedown(), ...)
# Generate proof
proof = prover.prove(input)

Build

Abstract

Express complex proving schemes using familiar Python syntax

Optimize

Efficient

Compiler intelligence maximizes speed and cost-efficiency through optimization

Package

Agnostic

Packages a single codebase for seamless integration into any hardware environment

Deploy

Universal