Inference Labs
Inference Labs builds zero-knowledge machine learning infrastructure that cryptographically verifies AI inference outputs. It serves developers, crypto builders, and regulated enterprises (finance, defense, healthcare) requiring auditable AI through its Proof of Inference protocol and Subnet-2 proving network.
- Company typePrivate
- Founded2023
- HeadquartersHamilton, Canada
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Inference Labs does
Inference Labs is a Canadian-incorporated, venture-backed private company building zero-knowledge machine learning (zkML) infrastructure for cryptographic verification of off-chain AI inference. Its core product, the Inference Network, is anchored by the Proof of Inference protocol — a consensus mechanism that produces zero-knowledge proofs mathematically verifying that a specific AI model produced a specific output, without exposing model weights, inputs, or internal activations. The technical stack comprises Proof of Inference (core protocol), DSperse (a model-slicing framework enabling targeted verification of high-value sub-computations), JSTprove (an open-source zkML toolkit with an end-to-end ONNX-to-proof pipeline), Subnet-2 / SN2 (a distributed proving cluster with 1,402 active nodes that has generated 950M+ total proofs and reached a peak of 19.4M proofs/day), and the Model Informatics Engine and Inference Network Runtime for identity and execution. Application-layer products include TruthTensor (an AI agent deployment platform for Polymarket prediction markets with 50,000+ trading agents), Sertn.ai (a computer vision platform with built-in verification), and Omron.ai (an AI-powered liquid staking prediction product).
The company's business model combines usage-based pricing for proof generation on Subnet-2, subscription/quote-based enterprise deployments for regulated industries (finance, healthcare, defense, aerospace), and a freemium open-source developer tier. Go-to-market is product-led growth via GitHub, comprehensive developer documentation, Discord, and Medium, layered with direct enterprise sales through demo booking. Inference Labs has assembled an enterprise-channel footprint through listings on the Oracle Partner Network, Databricks Marketplace, IBM ecosystem portals, and the Vulcan-SOF Technology Portal, plus a strategic supplier relationship with RTX (Raytheon Technologies). The company serves three primary customer segments: developers and AI researchers (free, open-source), crypto-native builders (usage-based proof services), and regulated enterprises requiring auditable AI compliance (subscription/quoted). To date the company has raised $8.6 million across a $2.3M pre-seed (April 2024) and a $6.3M strategic seed (July 2025), maintains a team of 1–10, and operates from Hamilton, Canada, with global distribution via digital channels.
Inference Labs firmographics
Firmographics- Name
- Inference Labs
- Legal name
- Inference Labs Inc.
- Website
- https://inferencelabs.com
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Inference Labs builds zero-knowledge machine learning infrastructure that cryptographically verifies AI inference outputs. It serves developers, crypto builders, and regulated enterprises (finance, defense, healthcare) requiring auditable AI through its Proof of Inference protocol and Subnet-2 proving network.
- Ownership category
- akta.pro rank
Inference Labs industry classification
Industry- Product category
- Verifiable AI Infrastructure
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem) (HDAEANAC)
- akta.pro secondary industries
- Model Testing, Validation & Quality Assurance (HDAAABAH), Model Hosting, Serving & Inference Platforms (HDAAACAB), Model Monitoring, Drift & Behavioral Anomaly Detection (HDAAAKAF)
Keywords
Where Inference Labs is headquartered
LocationHeadquarters
- HQ city
- Hamilton
- HQ country
- Canada
- HQ region
- North America
Markets served
Inference Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Verifiable AI Infrastructure Services: Revenue generation through providing verifiable AI infrastructure and proof generation services to enterprises and developers requiring cryptographic certainty for AI outputs. The company operates Subnet-2 as a distributed proving network with 1402 proving nodes generating verifiable proofs at scale.
- Enterprise AI Deployment: Direct enterprise engagement for deploying auditable AI systems that are compliant and secure at scale. Enterprises requiring verifiable AI for regulated industries (finance, healthcare, defense, aviation) represent a key revenue segment.
- Open-source Platform (Freemium): Core Inference Network is open-source and community-driven. Developers and researchers can access documentation and GitHub freely, with enterprise-grade features and support potentially offered as paid tiers.
Go-to-market motion1 record
Distribution channels5 records
Marketing channels9 records
Inference Labs product offering
Product offeringCore offering
Inference Labs builds and operates the Inference Network, a zero-knowledge machine learning (zkML) infrastructure layer that cryptographically verifies the outputs of off-chain AI models. Through its Proof of Inference protocol and supporting components (DSperse for model slicing, JSTprove for end-to-end zkML pipelines, and Subnet-2 as a distributed proving cluster), the company delivers verifiable AI inference for enterprises, developers, and autonomous systems. Customers consume these capabilities via open-source developer tooling, a usage-based proving network, and direct enterprise deployments.
Product overview
Inference Labs offers Inference Network as a unified platform for verifiable AI, providing cryptographic certainty for autonomous systems through its core Proof of Inference protocol. The platform consists of interconnected products: the core Inference Network provides the foundational infrastructure, while modular components like DSperse (model slicing framework), JSTprove (zkML toolkit), Subnet-2 (proving cluster), TruthTensor (agent deployment platform), and Sertn.ai (computer vision platform) extend specific capabilities. The platform enables AI agents, robotics, and autonomous applications to produce cryptographically verifiable proofs of their computations.
Differentiator
Problem solved
Functional benefit
Brands
- Inference Network: The accountability layer for AI — making every output verifiable, private, and fair. An open-source, community-driven network delivering cryptographic certainty for autonomous systems including AI agents, robotics, and self-driving vehicles.
- Omron.ai
- Subnet-2 (SN2)
- DSperse
- JSTprove
- TruthTensor
- Sertn
Products and services
- Inference Network Open-source, community-driven network delivering cryptographic certainty for AI agents, robotics, and autonomous applications through Proof of Inference consensus.
- Subnet-2 (SN2) The world's fastest zkML proving cluster providing verifiable oracles for any computation via zero-knowledge circuits. Operates 1,402 proving nodes and surpassed 300M+ zk proofs and 1B+ total proofs by 2026.
- DSperse Open-source framework for targeted verification in zero-knowledge machine learning (zkML) that enables model slicing, allowing developers to circuitize and prove only high-value sub-computations of a model rather than the entire model.
- JSTprove Open-source zkML toolkit that takes an ONNX model as input and provides an end-to-end pipeline for quantization, circuit compilation, witness generation, proof creation, and verification, exposed via a CLI.
- TruthTensor Platform enabling users to deploy AI agents to analyze and take positions on Polymarket prediction markets, with cryptographic verification of agent decisions.
- Sertn.ai Computer vision platform that takes users from annotation to deployment in a single environment, with verification built into every inference; supports real-time applications such as fall detection.
Quantifiable outcome
- Proof throughput reaching 19.4M proofs/day for scalable zkML verification
- +2 more outcomes
Companies that use Inference Labs
Customer profileNamed customers3 records
Segments9 records
Ideal customer profiles4 records
Inference Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature8 records
Inference Labs partnerships and signals
Strategic signalPartnerships
Eight partnerships are on record, tiered strategic, notable and core.
- RTX (Raytheon Technologies)strategicInference Labs joined RTX's supplier ecosystem to bring verifiable AI into production environments where trust must be proven, targeting mission-critical defense applications.
- Vulcan-SOF Technology PortalnotableListed on Vulcan-SOF Technology Portal where Special Operations acquisition teams, program managers, and operators scout emerging technology.
- Oracle Partner NetworknotableInference Labs joined Oracle Partner Network (OPN), making inference verification platform visible and accessible to organizations across Oracle's global customer and partner ecosystem.
- ScorenotablePartnership enabling Score's real-time vision models to be verified at the inference level, ensuring detection outputs used in markets, automation, and decision systems are provably correct.
- OpenLedgernotablePartnership to develop infrastructure ensuring AI systems are transparent, auditable, and trustworthy.
- VentureVersenotableCollaboration to bring verifiable AI to real-world prediction markets, establishing a new foundation of trust for autonomous market systems.
- CysiccoreStrategic partnership to enable scalable, cost-efficient verifiable AI applications by combining Inference Labs' verifiable AI software stack with Cysic's decentralized compute network and ZK-proving hardware. The integration addresses longstanding performance and cost limitations in real-world zkML use cases, enabling applications such as Verifiable Autonomous Agents and Oracles by solving the proof generation bottleneck.
- IBMnotableInference Labs is listed on IBM ecosystem portals, making inference verification platform visible and accessible to organizations across Oracle's global customer and partner ecosystem.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Inference Labs competitors and assessment
Company assessmentDirect peers
- Ritual: Decentralized AI compute network with on-chain inference and verifiable execution, targeting similar use cases in autonomous agents and verifiable AI infrastructure.
- EZKL: Open-source zkML framework that converts ML models into zero-knowledge circuits, directly comparable to JSTprove and DSperse. Competes for the same developer tooling wedge in verifiable inference.
- Axiom: ZK-coprocessor providing verifiable compute over on-chain data, overlapping with Inference Labs in using zero-knowledge proofs to verify computational integrity at scale.
- Modulus Labs: Direct competitor in zkML infrastructure, building zero-knowledge proof systems for AI model outputs. Most directly comparable to Inference Labs' Proof of Inference approach, competing for the same verifiable AI developer mindshare.
- Giza: zkML platform operating on Starknet focused on verifiable AI inference at scale. Overlaps with Inference Labs' Subnet-2 positioning as a proving cluster for production workloads.
- Gensyn: Decentralized protocol for verifiable ML training and inference using cryptographic proofs. Comparable in applying ZK and proof-based verification to AI compute, though more weighted toward training than inference.
Broad incumbents
- Chainlink: Dominant oracle network with expanding verifiable compute and Functions/CRE offerings. A potential incumbent competitor or acquirer for verifiable AI infrastructure, with vastly more distribution.
Emerging players
- Akash Network: Decentralized compute marketplace providing GPU capacity. Comparable as a Web3-native infrastructure provider that Inference Labs could partner with for compute, or compete against in distributed AI workloads.
- Together AI: AI compute cloud platform serving model inference and training at scale, a comparable AI-infrastructure target customer and potential acquirer/partner for verifiable inference capabilities.
- Zama.ai: Applies fully homomorphic encryption (FHE) to AI, a complementary but adjacent privacy-preserving AI approach. Comparable target customers (regulated industries needing cryptographic guarantees) and overlapping team of cryptography PhDs.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Inference Labs social profiles
Digital presenceInference Labs compliance and trust
Trust signalCompliance3 records
Inference Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Inference Labs leadership team
Management profileNumber of profiles
Profiles2 records
Inference Labs funding detail
Funding detailFunding overview
Funding rounds2 records
Investors16 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Inference Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Inference Labs
What does Inference Labs do?
Inference Labs builds and operates the Inference Network, a zero-knowledge machine learning (zkML) infrastructure layer that cryptographically verifies the outputs of off-chain AI models. Through its Proof of Inference protocol and supporting components (DSperse for model slicing, JSTprove for end-to-end zkML pipelines, and Subnet-2 as a distributed proving cluster), the company delivers verifiable AI inference for enterprises, developers, and autonomous systems. Customers consume these capabilities via open-source developer tooling, a usage-based proving network, and direct enterprise deployments.
Is Inference Labs a public or private company?
Inference Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Inference Labs founded?
Inference Labs was founded in 2023. It employs 11 to 50 people.
Where is Inference Labs based?
Inference Labs is headquartered in Hamilton, Canada, in the North America region.
How does Inference Labs make money?
Three revenue lines are on record. Verifiable AI Infrastructure Services are the primary driver. The others are enterprise AI Deployment and open-source Platform (Freemium).
Who are Inference Labs's main competitors?
Direct peers on record are Ritual, EZKL, Axiom, Modulus Labs, Giza and Gensyn. Chainlink is listed as a broad incumbent. Emerging players are Akash Network, Together AI and Zama.ai.
Does Inference Labs have an API?
Yes. Inference Labs provides developer documentation and open-source tools for building verifiable AI applications. The GitHub repository (https://github.com/inference-labs-inc) contains SDKs and code samples for interacting with the Inference Network, including the JSTprove framework for zero-knowledge machine learning proofs, DSperse for model slicing, and the CLI tooling for compiling ONNX models to circuits, generating witnesses, creating proofs, and verification. Developer documentation is at docs.inferencelabs.com.
What industry is Inference Labs in?
Inference Labs's product category is Verifiable AI Infrastructure. Its primary akta.pro industry code is HDAEANAC, Model Serving, Inference & Deployment Platforms (APIs, Edge/On-Prem), with a secondary code of HDAAABAH, Model Testing, Validation & Quality Assurance. Its NAICS code is 518 and its SIC code is 7372.