About Prufold Labs
Our Mission
Prufold is building the cryptographic trust layer for the autonomous economy, making AI private and secure by design, not trusted by default.
As AI agents take independent actions in the world, verification becomes essential infrastructure. Our work ensures every step an AI takes can be checked, audited, and proven.
The Problem
AI systems today are powerful but untrusted:
- •They hallucinate.
- •They act opaquely.
- •They rely on hope instead of guarantees.
- •Security is reactive, fragile, and often too late.
- •And only a handful of experts can build true verification systems.
This gap becomes existential as AI agents begin operating autonomously, orchestrating complex sequences of actions, including cyberattacks, financial operations, and physical-world tasks.
The world needs a better foundation: proof, not trust.
Our Approach
Prufold makes deep cryptographic safety accessible to builders.
A Verification-First Platform
A unified layer that allows AI workflows, agents, and pipelines to prove correctness, authenticity, and compliance.
Proof-Agnostic Infrastructure
ZK, TEE, MPC, FHE, and verifiable compute primitives integrated into a builder-friendly platform. No specialist cryptography team required.
Formal Safety & Explainability
A verification layer that works across AI agents, ML pipelines, robotics, and distributed systems.
Accessible Primitives-as-a-Service
Hardware-accelerated cryptography packaged as simple components anyone can build on.
Human-Centric Design
Developers, businesses, and end users can all verify what an AI did, step by step.
Why Now
We're entering a new era:
- •AI agents operate autonomously.
- •Attack surfaces grow exponentially (including the first AI-orchestrated cyberattacks).
- •Governments and enterprises demand verifiable guarantees.
- •Cryptographic talent is scarce and expensive.
- •The AI TRiSM (Trust, Risk & Security Management) market is accelerating.
Verification is no longer optional.
It is the backbone of safe autonomy.
The Team
Dr. Anish Mohammed
CEO & Co-Founder
Cryptographer, security architect, Ethereum Swarm contributor, Ripple advisor. 20+ years in protocol design, MPC, ZK systems, and formal verification.
Dr. Mark Blunden
Chief Scientist
Cybersecurity and distributed systems expert. Led ZK research, adversarial modeling, and safety-critical protocol design for enterprise and government systems.
Joel Phillips
COO & Co-Founder
YC alumnus and experienced founder with a history of building products that scale. Joel's strength is connecting advanced technology to real user needs and leading teams from concept to adoption.
Additional Engineering & Research Talent
With backgrounds in DeFi infrastructure, cryptographic protocol design, robotics, and AI systems.
Advisors & Early Supporters
(announcements coming soon)
Our Principles
Proof Over Trust
AI systems must be verifiable at every step.
Safety First
Verification should advance before capability.
Open Ecosystems
Interoperable, transparent, and standards-driven.
Builder-Friendly Design
Deep cryptography, simple interface.
Security as Infrastructure
Trustworthiness must be systemic, not optional.
Roadmap
Phase 1 — Foundation & MVP
Q4 2025–Q1 2026
Agent workflows, visual DSL, local execution.
Phase 2 — Verification Layer
Q2–Q3 2026
Integrate primitives, Lean-based verification, explanation LLM.
Phase 3 — Simulation & Mechanism Design
Q4 2026–Q1 2027
DSVM optimization, robust agentic testing environments.
Phase 4 — Production Ecosystem
Q2–Q3 2027
Enterprise features, audits, compliance frameworks.
Collaborate With Us
We're working with early partners in DeFi, robotics, critical infrastructure, and agentic AI.
If you want to explore collaboration, reach out:
📩 info@prufoldlabs.ai