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Fermah

Fermah provides a workflow execution engine designed for deterministic and unambiguous process execution. This technology is applied to prediction markets to ensure fast, automated resolution independent of human intervention. The platform enables instant market creation via social media and guarantees reliable settlement through code-based execution.

Traction 10/10
Austin, United States · HQ
Founded 20239300+ followers
  • Artificial Intelligence
  • Blockchain & Cryptocurrency
  • Developer Tools
  • Software Only
  • Web3 & NFTs
Updated 11 months ago

Funding

Raised to date

$5.2MRaised 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.

across 1 round

BSBVCKD+14

$5.2M · Seed

Announced Sep 2024

Disclosed cumulative: $5.2M

Founders

Founder details are not available yet.

Product

Problem

Generating zero-knowledge proofs (ZKPs) for cryptographic applications requires significant computational resources, creating a barrier to entry for many projects. Existing solutions often lack predictable pricing and optimized performance, hindering the widespread adoption of ZK technology.

Solution

Fermah provides a universal proof generation layer that connects projects needing ZKPs with a marketplace of GPU and FPGA resources. This platform offers efficient and reliable proof generation for various cryptographic applications, ensuring predictable pricing and optimized performance. By abstracting away the complexity of ZK proofs, Fermah aims to make ZKPs the default substrate for all computation. The platform supports all major proving systems, including zkVMs, zkEVMs, and Groth16.

Target Audience

The primary target audience includes Web3 projects, decentralized applications (dApps), and cryptographic applications requiring efficient and reliable ZKP generation.

Features

  • Marketplace connecting ZKP demand with GPU and FPGA supply
  • Support for various proof systems, including zkVMs, zkEVMs, and Groth16
  • Transparent and predictable pricing models with SLAs available
  • Tunable price/performance optimization for proof generation
  • Credibly neutral architecture with no inherent biases
  • Data-protected proving delegation (coming soon)
This profile is AI-generated and may contain inaccuracies.