AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

AI you can trust.
Verified by math,
not blind faith.

Inference Network is the accountability layer for AI — making every output verifiable, private, and fair.

292M

Total proofs

Today’s AI systems are black boxes

Today’s AI systems are black boxes

Today’s AI systems are black boxes

Today’s AI systems are black boxes

You can’t always know if the model is real, unbiased, or secure. By 2030, AI could add $15.7 trillion to the global economy — but adoption depends on trust.

You can’t always know if the model is real, unbiased, or secure. By 2030, AI could add $15.7 trillion to the global economy — but adoption depends on trust.

You can’t always know if the model is real, unbiased, or secure. By 2030, AI could add $15.7 trillion to the global economy — but adoption depends on trust.

You can’t always know if the model is real, unbiased, or secure. By 2030, AI could add $15.7 trillion to the global economy — but adoption depends on trust.

We solve this with Proof of Inference

We solve this with Proof of Inference

We solve this with Proof of Inference

We solve this with Proof of Inference

Cryptographic guarantees that every AI result is correct, untampered, and privacy-preserving. So developers, enterprises, and users no longer need to rely on blind trust.

Cryptographic guarantees that every AI result is correct, untampered, and privacy-preserving. So developers, enterprises, and users no longer need to rely on blind trust.

Cryptographic guarantees that every AI result is correct, untampered, and privacy-preserving. So developers, enterprises, and users no longer need to rely on blind trust.

Cryptographic guarantees that every AI result is correct, untampered, and privacy-preserving. So developers, enterprises, and users no longer need to rely on blind trust.

Manifesto

We believe in a future where AI is sovereign by default and governed by cryptographic certainty instead of centralized authorities. Where new economies are decentralized by design, computation integrity is native to protocols, and intelligence itself becomes unstoppable by design.

Mission

We provide certainty for on-chain AI

We provide certainty
for on-chain AI

Already backed by

292M

Total proofs

292M

Total proofs

292M

Total proofs

1.4K

Miners

18

Validators

The foundations
of trustworthy AI

Built to be verifiable, private, and fair — by design.

Proof of Inference

Every critical AI output is secured with cryptographic proofs — mathematically verified and provable, not based on blind trust.

Model Privacy

Sensitive computations remain private and secure — protected with zk-ML and FHE to guarantee confidentiality at scale.

Trustless Verification

Validation is distributed across independent nodes — ensuring fairness, resilience, and eliminating single points of failure.

Unbreakable AI

Decentralized by design — AI is unstoppable, resilient, and owned by all within a shared and open economy.

Hyperscaling AGI

Inference Network scales seamlessly across thousands of nodes, laying the foundation for trustless, global AGI.

Hyperscaling AGI

Inference Network scales seamlessly across thousands of nodes, laying the foundation for trustless, global AGI.

Hyperscaling AGI

Inference Network scales seamlessly across thousands of nodes, laying the foundation for trustless, global AGI.

Hyperscaling AGI

Inference Network scales seamlessly across thousands of nodes, laying the foundation for trustless, global AGI.

Model Slicing

AI models are split into independent slices, focusing validation where it matters most and reducing overhead.

zk-ML & FHE

Advanced cryptography keeps computations private and secure, while scaling efficiently.

Cryptographic Verification

Zero-knowledge proofs ensure correctness of critical outputs — making inference provable.

Agentic Protocols

Open governance and incentives drive fairness, resilience, and community oversight.

Cross-chain Interoperability

Seamless integration across blockchains makes verifiable AI universally accessible.

Inference Commerce

A transparent marketplace for deploying and monetizing AI models with accountability.

Trust, privacy, and fairness — by design

We make AI systems accountable — so users, developers, and networks can trust every result.

How unbreakable
AI works

Inference Network enables auditable AI at scale through a targeted, slice-based verification approach.

1

Model analysis

DSperse determines the most optimal locations to split up the provided model

1

Model analysis

DSperse determines the most optimal locations to split up the provided model

1

Model analysis

DSperse determines the most optimal locations to split up the provided model

1

Model analysis

DSperse determines the most optimal locations to split up the provided model

2

Model Slicing

DSperse intelligently slices the model based on its location plan, evenly distributing computational complexity across slices

3

Compilation

Each of the slices are converted into verifiable, zero-knowledge circuits using the most optimal proof system for the workload.

4

Witness Generation

Witness generation is conducted on a trusted machine or group of machines. Outputs from each slice feed forward into the next slice.

5

Distributed Proving

Witness files are distributed to a distributed group of computational nodes which each conduct independent proving on inference for each slice.

6

Verification

Proof data is collected from all nodes and cryptographically verified, proving that each slice operated correctly to produce the final output.

ZK

Zero-Knowledge proof

PK

Proving key

VK

Verification key

W

Witness

PI

Proof of inference

OT

Output tensor

ZK

ZK Proof

PK

Proving key

VK

Verification key

W

Witness

PI

Proof of inference

OT

Output tensor

ZK

Zero-Knowledge proof

PK

Proving key

VK

Verification key

W

Witness

PI

Proof of inference

OT

Output tensor

ZK

Zero-Knowledge proof

PK

Proving key

VK

Verification key

W

Witness

PI

Proof of inference

OT

Output tensor

Hyperscaling provable AI made practical

Inference Network removes the bottlenecks of trust, making AI scalable, verifiable, and unstoppable by design.

Hyperscaling provable AI made practical

Inference Network removes the bottlenecks of trust, making AI scalable, verifiable, and unstoppable by design.

Hyperscaling provable AI made practical

Inference Network removes the bottlenecks of trust, making AI scalable, verifiable, and unstoppable by design.

Hyperscaling provable AI made practical

Inference Network removes the bottlenecks of trust, making AI scalable, verifiable, and unstoppable by design.

Parallelized throughput

Slice boundaries align with model modules, enabling parallel execution, efficient caching, and maximum hardware utilization.

Cost and latency control

Critical slices use zk-attestation, while non-critical slices run at native speed, balancing performance and cost.

Resource efficiency

Small per-slice circuits cut memory use and speed up proofs, making cryptographic verification feasible in production.

Future-proof scaling

Recursive proof composition links slices into unified guarantees, supporting growth to millions of nodes.

01

Web3 infrastructure

Strengthen decentralized networks with AI that’s transparent, auditable, and cryptographically verifiable.

02

Enterprise compliance

Enable trustworthy AI systems that meet strict regulatory and audit requirements without sacrificing performance.

03

Finance & DeFi

Power fraud detection, credit scoring, and trading with secure, privacy-preserving AI models verified on-chain.

04

Healthcare

Analyze encrypted medical data with zero-knowledge proofs, ensuring accurate results while protecting patient confidentiality.

05

Zero-Knowledge Identity

Enhance privacy and trust in identity, KYC, and credential verification — prove facts without revealing sensitive data.

06

GameFi Verification

Guarantee fairness and authenticity in gaming with verifiable randomness and proof-backed in-game logic.

Where verifiable AI makes the difference

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For whom

From researchers to enterprises,
and everyone in between

From researchers
to enterprises, and everyone in between

From researchers to enterprises, and everyone in between

For AI-savvy professionals & researchers

Run advanced models you can fully verify — ensuring computational integrity and reproducible results.

For Builders & Devs

Build first-mover apps powered by cryptographic guarantees, without relying on black-box models.

For Enterprises & partners

Deploy AI systems that are auditable, compliant, and secure at scale — aligned with regulatory standards.

For General tech audiences

Discover AI you can finally trust — private, verifiable, and open to everyone.

Help shape the future
of trustworthy AI

Inference Network is open-source and community-driven. Whether you’re a researcher, builder, or curious user — you can be part of it.

Unlock the future of unbreakable AI.

Inference Network makes trustless AGI inevitable — replacing closed, centralized models with a global web of verifiable AI slices. Every computation becomes provable, unstoppable, and resilient by design.

Inference Network is open-source and community-driven. Join us in building the future of autonomous systems.

© 2025 Inference Labs. All rights reserved.

Inference Network is open-source and community-driven. Join us in building the future of autonomous systems.

© 2025 Inference Labs. All rights reserved.

Inference Network is open-source and community-driven. Join us in building the future of autonomous systems.

© 2025 Inference Labs. All rights reserved.