Media room

In this interview, Inference Lab's co-founder, Colin Gagich, dives into verifiable inference, cryptographic guarantees, and why trust is the missing layer for physical AI.

As AI becomes more embedded in mission-critical infrastructure, unverifiable autonomy is no longer sustainable. Explore how auditable autonomy is creating trust in complex AI systems.

Learn about Hitchbot, a robot whose experimental journey went on to shape our co-founder Colin Gagich's perception of trust and it's significance when dealing with AI outputs.

Inference Labs partners with Cysic to deliver scalable zkML infrastructure, combining verifiable AI software with decentralized ZK-proving hardware for cost-efficient applications like autonomous agents and oracles. This collaboration overcomes proof generation bottlenecks, enabling trustworthy AI in DeFi, governance, and prediction markets with cryptographic accountability.​

TruthTensor achieved 20,000+ agents trading, 20,000+ users building agents, and 300,000+ agent decisions in its first 6 days since launch.

Inference Labs and Cysic has officially formed a partnership to deliver scalable decentralized compute for ZK and AI workloads, ensuring verifiable execution in high-stakes real-world AI applications.

Inference Labs has partnered with Irys to deliver trustless, auditable Proof of Portfolio infrastructure for Bittensor Subnet 8 (VantaTrading by Taoshi), using zero-knowledge proofs and decentralized data storage for verifiable trading performance without revealing strategies.

Explore accountable autonomy at airports, applying verifiable AI and Proof of Inference to ensure transparent, cryptographically verified decisions in high-stakes aviation environments.

TruthTensor reached 50,000+ agents trading, 40,000+ users building agents, and 400,000+ agent decisions in its first 11 days since launch by December 15, 2025.

In this exclusive interview, Ron Chan, Co-Founder & CEO of Inference Labs, reveals the origin story behind one of the most important problems in modern AI: verifiable inference.

Inference Labs has officially launched DSperse 2.0, slicing models into DSIL files for independent compilation, execution, and verifiable proofs to scale better verification pipelines with reliability from commits.

Introducing TruthTensor – a platform from Inference Labs that enables users to easily launch their own AI agents to analyze and take positions on Polymarket.

Inference Labs has partnered with Kaito.ai. Check out new Mindshare Leaderboard!

TruthTensor is live, enabling users to deploy AI agents in seconds to trade on Polymarket!

Subscription-based humanoid robots like NEO promise powerful in‑home assistance but also shift ownership and intelligence into centralized cloud services, creating serious challenges around user control, privacy, and trust.

Inference Labs' Bittensor Subnet 2 reached 303 million zk proofs by December 1, 2025, demonstrating how incentives accelerate proof generation for enterprise autonomy through economics plus cryptography.

Verifiable AI is rapidly becoming a practical requirement across regulated, high‑stakes industries.

Announcing the $100K Starboard Campaign with Galxe and Our New Vision for Accountable Autonomy.

Inference Labs' Subnet-2 (SN2) surpassed 300 million zk proofs on November 13, 2025, advancing verifiable and accountable AI autonomy through decentralized verification.

Hitchbot's Guide to the Galaxy A community built around the Inference Network, its mission, its technology, and the people shaping it.

Discover DSperse, the innovative solution revolutionizing Zero-Knowledge Machine Learning (zkML) proofs through advanced model slicing.

Zero-knowledge (ZK) and artificial intelligence (AI) have increasingly complemented each other to meet growing demands for privacy, transparency, and trust in digital systems.

Inference Labs is excited to announce the public release of JSTprove, our framework for Zero-Knowledge Machine Learning (zkML).

Inference Labs is excited to announce the public release of JSTprove, our framework for Zero-Knowledge Machine Learning (zkML).

What if every AI model could prove its own output? Meet DSperse, a new open-source toolkit from Inference Labs.

Join us for an in-depth conversation with Ron, Co-Founder of Inference Labs, at Token 2049.

AI content watermarks intended to authenticate AI-generated text, images, video, and more, can be easily removed or forged by tools and adversarial attacks, undermining their reliability.

On Bittensor, some validators copy weights (miner scores) from others instead of performing real validation. This undermines the network’s fairness, reduces accountability, and rewards dishonest behavior.

While large language models (LLMs) generating false AI model outputs (i.e., hallucinations) are a known problem in AI systems, the deeper and more serious challenge is the systemic lack of verifiability.

Today we’re introducing something completely new: DSperse. It’s our framework for unbreakable AI — bringing strategic verification to machine learning. learn more from our whitepaper.

Meet DSperse, a modular framework that addresses this by targeted verification: rather than circuitizing an entire model, DSperse lets you circuitize and prove high-value subcomputations.

No matter how cutting-edge your AI, without provable, cryptographic trust, growth stalls dramatically and opportunities vanish.

Colin Gagich shared his founder journey — from hitchBOT to building verifiable AI at Inference Labs. The energy in the room was amazing, and the support from Toronto’s tech community was truly inspiring.

AI benchmark leaderboards are cluttered with cherry-picked and sometimes fabricated results, eroding trust in reported performance. Understanding why this matters reveals how distorted metrics can be misleading.

A few weeks ago, our co-founder Colin spoke at Google’s ZK & AI Summit.He shared why full-model zkML is hitting practical limits — and how we’re working on faster, lighter ways to solve this issue. Here’s a clip from his talk — with a glimpse of what’s coming next.

AI faces a growing credibility crisis — silent model swaps and opaque management are eroding trust when it matters most. Subnet 2 introduces real-time cryptographic verification, setting a new benchmark for dependable, accountable open-source AI.

Verifiable inference using ZKPs enables trustless, private AI across industries like finance, telecom, and robotics. With a projected $10–15B market by 2025, Inference Labs’ Subnet 2 and Sertn are pioneering cost-effective decentralized AI for enterprises, developers, and governments.

On Aug 12, Omron passed 281M zkML proofs. Just 8 days later, we’ve already verified 283M proofs — all open, decentralized, and on-chain: https://t.co/kVc58Rr5U7

A collaborative investigation between Subnet 2 and Subnet 12 and its findings.

Omron has now processed over 281 million zkML proofs — all verified in an open, decentralized network. Among the top proving environments by proof volume, with live performance data available to anyone.

Reddit’s UK age verification relies on unverifiable trust, exposing sensitive data to third parties. True confidentiality requires verifiable Proof of Inference and zero-knowledge systems.

Our focus in August remains the same: scaling zkML proof volumes, refining decentralized proving infrastructure, making verification practical for builders.

Zero-knowledge proofs (ZKPs) improve the verifiability of media authenticity, ensuring content remains unaltered while preserving privacy.

Your AI tool suddenly becomes slower and less accurate — no notice, no explanation, just a creeping sense that it’s no longer what you paid for.

Inference Labs is building a protocol to verify AI agent decisions without exposing the model itself.vRead the full details of the 6.3M raise in The Defiant.

The recent strategic investment round featured follow-on participation from DACM and Delphi Ventures alongside new investments from Arche Capital and Lvna Capital. Read more details in Decrypt.

Inference Labs Raises $6.3M to Secure AI Agents Through Verifiable Inference. Read more in The Block about how we're building a trustless layer for AI.

ZKPs exponentially improve the long term viability of AI and Web3, with the global zk-Proof market projected to reach more than $10 billion by 2030.

The Web3 landscape is being redefined through the integration of AI inference, zkML, and ZKPs to rewrite the rules of digital trust, privacy, and efficiency across industries.

Inference Labs is proud to be collaborating with Taoshi to bring trustless infrastructure to the Proprietary Trading Network (Subnet 8) via Omron SN2.

Ron & Spencer joins Bittensor stand at SuperAI Singapore. Live demos, lots of questions, and a ton of curiosity around verifiable inference.

New podcast with Colin Gagich. From Hitchbot to decentralized inference, it's a sweeping dive into what’s broken in today’s AI — and what a better future looks like. Also includes: a wild price prediction.

From prompt caching to zero-knowledge proofs for inference. Delphi Digital just released a sharp breakdown on verifiable compute, RoG, and where the space is headed in future.

If AI is going to shape our systems, it must also prove its reasoning. That’s what Proof of Inference provides. Read the full article by our Co-Founder Ron Chan in The Defiant.

Proud to have Spencer on the ground repping Inference Labs — joining builders and researchers pushing the boundaries of decentralized AI and Web3. Big thanks to Immunefi for hosting event during Consensus.

At Inference Labs, we're building networks where Proof of Inference, integrity, and incentives are foundational — and our reasoning is as open as our circuits. We conducted a Q&A with Spencer, Colin, and Eric.

Inference Labs has created Subnet 2 Omron to provide cryptographically verified proof-of-inference. Colin, Inference Labs co-founder, walks us through the Subnet and how it provides authenticity for inference.

AI agents are revolutionizing Web3 by automating market analysis, yield optimization, and protocol security, but they face computational limitations. Explore What Makes Web3 AI Agents Different?

Inference Labs enables verifiable on-chain AI with their Zero-Knowledge Verified Inference Network. Powered by EigenLayer, it discourages dishonesty and cuts proving times by 76%. Check out EigenLayer AVS Spotlights.

Get insights on how Inference Labs and AR.IO Are Advancing Permanent Storage Systems for AI. The decentralized web is evolving rapidly. The value of AI inference hinges on the integrity of the data it processes.

Exploring the excitement surrounding the dTAO launch and its potential impact on miners, validators, and subnet owners. Focus on the vital roles of community and communication in the dT

Inference Labs leads in AI verification through ZK-VIN and Sertn AVS on EigenLayer, enabling verifiable, decentralized AI, and a conversation with Nima Vaziri from EigenLabs. Watch the best insights on YouTube.

In this emerging era, privacy-centric protocols and decentralized applications (dApps) are setting the stage for breakthroughs in identity authentication, all without revealing sensitive details. Dive deeper on our Medium.

We turned a Doom-playing AI agent into a verifiable system using zk-proofs—proving each move is honest, strategic, and tamper-proof in near real-time. Watch the demo and read the insights on our Medium.

Bagel and Inference Labs have formed a strategic partnership to integrate advanced verification protocols into Bagel’s decentralized fine-tuning solution. This collaboration ensures the preservation of privacy in end-to-end machine learning.

Colin Gagich from who is building the "SSL for AI Models"His team is doubling down on @opentensor due to the pace at which incredible AI talent is joining the eco-system.

Ron Chan joins Sahara's AI panel at TOKEN2049 Singapore to discuss verifiable AI and future-ready infrastructure. Watch the full session now on YouTube.

Launched in April 2024, the Omron subnet has become the world's largest zkml proving cluster by incentivizing miners within the Bittensor ecosystem to produce computationally challenging zero-knowledge proofs rapidly.

Inference Labs is part of the second cohort of 14 networks leveraging Symbiotic. The announcement also notes raised asset caps and the introduction of new assets. Exceleltn partnership to strengthen DeAI ecosystem.

Our Co-Founder Ron Chan featured at 2024 Blockchain Futurist Conference sharing insights on decentralized AI. Watch the full session now on YouTube.

Read how Sami Kassab did a case-study on Inference Labs. Inference Labs uses Bittensor for initial network incentives and rapid growth, plans to internalize them later but retain Bittensor for sourcing.

Inference Labs has closed $2.3 million in pre-seed funding as it looks to make AI inference more accessible. The round was co-led by three investors: Digital Asset Capital Management, Mechanism Capital, and Delphi Ventures.

Miners, builders, signal seekers - watch our latest clip with cofounder Ron to learn how we're scaling AI verification.