Trace Labs
Trace Labs develops the OriginTrail Decentralized Knowledge Graph and nOS, providing verifiable decision-trace infrastructure for enterprise AI agents. It serves supply chain, healthcare, financial services, and government customers via a freemium open-source plus enterprise subscription model.
- Company typePrivate
- Founded2018
- HeadquartersCentral, Hong Kong SAR China
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Trace Labs does
Trace Labs is a Hong Kong-headquartered, privately held technology company founded in 2018 that develops decentralized knowledge-graph infrastructure for enterprise AI agents. It is the core developer of the OriginTrail Decentralized Knowledge Graph (DKG), an open-source protocol for representing knowledge assets and shared context graphs, and of nOS (Network Operating System), the commercial product that wraps the DKG with custom agent frameworks, custom data pipelines, and enterprise integrations. The technical premise is that every AI agent action can be captured as a verifiable trace, producing a shared, replayable organizational memory that connects data across partners, systems, and compliance workflows rather than locking context inside a single vendor's platform.
The company's product surface is built around two integrated layers. OriginTrail DKG is the open-source foundation, distributed via npm and developer documentation, that provides knowledge assets, context graphs, and decision traces. nOS is the enterprise-grade layer that integrates with third-party agent frameworks including Hermes, OpenClaw, and the Model Context Protocol (MCP), enabling customers to attach verifiable memory and audit trails to existing AI agents. The stated target use cases span supply-chain traceability, cybersecurity threat-intelligence correlation, multi-operator transportation, healthcare clinical-evidence verification, manufacturing quality decisions, government/critical-infrastructure accountability, construction lifecycle data, and financial-services regulatory determinations.
Trace Labs operates a hybrid go-to-market: a free, self-serve open-source tier for developers building on the DKG, and an nOS Enterprise subscription tier with undisclosed pricing that requires direct sales engagement. The company is small (11-50 employees) and discloses no revenue or named enterprise customers. It supplements its product with an ecosystem strategy, including a 2025 founding-shareholder stake in Umanitek, a Switzerland-based AI safety startup focused on deepfake and digital-identity threats.
Trace Labs firmographics
Firmographics- Name
- Trace Labs
- Legal name
- Trace Labs
- Website
- https://tracelabs.io
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Trace Labs develops the OriginTrail Decentralized Knowledge Graph and nOS, providing verifiable decision-trace infrastructure for enterprise AI agents. It serves supply chain, healthcare, financial services, and government customers via a freemium open-source plus enterprise subscription model.
- Ownership category
- akta.pro rank
Trace Labs industry classification
Industry- Product category
- Decentralized Knowledge Graph / AI Agent Infrastructure
- NAICS
- Web Search Portals and All Other Information Services (519290), Web Search Portals, Libraries, Archives, and Other Information Services (5192)
- akta.pro primary industry
- Enterprise Search, Indexing & Content Discovery (HDAEAGAH)
- akta.pro secondary industries
- NFT Infrastructure APIs & Indexing (NFT data APIs, indexing, search, analytics) (FSAPAFAE), Recordkeeping, Archiving & Audit Trail (WORM/SEC 17a-4) (FSAFAOAK), Q&A and Knowledge Discovery Platforms (BPAMAAAF)
Keywords
Where Trace Labs is headquartered
LocationHeadquarters
- HQ city
- Central
- HQ country
- Hong Kong SAR China
- HQ region
- Asia
Markets served
Trace Labs business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- Freemium Open Source: Free open-source access to OriginTrail DKG allowing developers to build and experiment with verifiable AI agent technology.
- nOS Enterprise Subscription: Enterprise tier offering custom agent frameworks, custom data pipelines, and custom integrations for organizations requiring advanced decision intelligence capabilities.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free open-source tier for building on OriginTrail DKG |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels2 records
Trace Labs product offering
Product offeringCore offering
Trace Labs develops and operates the OriginTrail Decentralized Knowledge Graph (DKG) and nOS (Network Operating System), which together provide verifiable AI infrastructure for enterprise agents. nOS captures every AI agent action as a verifiable trace stored in shared, portable context graphs, enabling organizations to replay, audit, and reuse agent decisions while retaining data sovereignty and avoiding vendor lock-in.
Product overview
Trace Labs offers a dual-tier product architecture centered on its Network Operating System (nOS) for enterprise AI agents. nOS is the premium enterprise offering that connects any agent framework to verifiable memory and shared context graphs. Underlying nOS is the OriginTrail Decentralized Knowledge Graph (DKG), an open-source technology that enables knowledge assets and decision traces. The two products work together: the DKG provides the foundational graph technology while nOS wraps it with custom agent frameworks, data pipelines, and enterprise integrations. The free OriginTrail version is available for open-source users, while nOS Enterprise provides custom configurations for enterprise deployments.
Differentiator
Problem solved
Functional benefit
Brands
- nOS: Network Operating System - turns every agent action into a verifiable trace, building a shared memory for organizations to replay, audit, and reuse.
- OriginTrail DKG
Products and services
- nOS (Network Operating System) nOS is an enterprise Network Operating System that turns every AI agent action into a verifiable trace and builds a shared organizational memory that can be replayed, audited, and reused. It connects to agent frameworks including Hermes, OpenClaw, and MCP, and is sold to enterprises requiring custom agent frameworks, data pipelines, and integrations.
- OriginTrail DKG (Decentralized Knowledge Graph) OriginTrail DKG is the open-source decentralized knowledge graph that provides knowledge assets, shared context graphs, and decision traces, connecting data across supply chains, cybersecurity, transportation, healthcare, manufacturing, financial services, government, and construction. It is offered as a free open-source tier and underpins the nOS enterprise offering.
Companies that use Trace Labs
Customer profileSegments8 records
Ideal customer profiles2 records
Trace Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration3 records
AI capability4 records
Feature3 records
Trace Labs partnerships and signals
Strategic signalRecent moves3 records
Expansion highlights4 records
Trace Labs competitors and assessment
Company assessmentDirect peers
- Stardog: Enterprise knowledge graph platform offering semantic graph databases for data integration and AI — competes with Trace Labs for enterprise knowledge-graph and AI decision-intelligence budgets.
- The Graph: Decentralized indexing and querying protocol for blockchain data — the closest direct comparable to OriginTrail's DKG as both provide graph-based, verifiable data infrastructure with crypto-economic incentive layers.
- Ocean Protocol: Decentralized data-sharing protocol for AI training and inference, comparable to Trace Labs in combining Web3 infrastructure with enterprise AI data/agent use cases.
- Fluree: Enterprise blockchain-backed semantic graph database — combines knowledge-graph capabilities with cryptographic verification, directly comparable to Trace Labs' verifiable context-graph positioning.
Emerging players
- Ceramic Network: Decentralized data network for verifiable, portable Web3 data — overlaps with Trace Labs on decentralized data infrastructure, though focused on identity and consumer Web3 use cases.
- Arweave: Permanent decentralized data storage network — adjacent to Trace Labs' verifiable data infrastructure thesis and a potential complementary layer for OriginTrail DKG persistence.
- Streamr: Decentralized real-time data network — comparable to Trace Labs on decentralized data infrastructure for cross-organizational use cases, including supply chain and IoT.
Broad incumbents
- Palantir: Enterprise data and decision-intelligence platform — competes with Trace Labs for government, supply chain, and life sciences AI/decision-trace budgets at the high end of the market.
- Neo4j: Largest dedicated graph database vendor with a broad enterprise portfolio — competes for the same enterprise knowledge-graph and AI decision-support budgets as Trace Labs but at significantly greater scale.
- Microsoft (Fabric / Purview): Hyperscaler enterprise data, AI, and governance stack — bundles knowledge graphs, AI agents, and audit trails that overlap with Trace Labs' value proposition, posing a competitive threat via default procurement.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat4 records
Key risks5 records
Key highlights6 records
Customer concentration
Trace Labs social profiles
Digital presenceTrace Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
Trace Labs leadership team
Management profileNumber of profiles
Profiles3 records
Trace Labs funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Trace 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 Trace Labs
What does Trace Labs do?
Trace Labs develops and operates the OriginTrail Decentralized Knowledge Graph (DKG) and nOS (Network Operating System), which together provide verifiable AI infrastructure for enterprise agents. nOS captures every AI agent action as a verifiable trace stored in shared, portable context graphs, enabling organizations to replay, audit, and reuse agent decisions while retaining data sovereignty and avoiding vendor lock-in.
Is Trace Labs a public or private company?
Trace Labs is a private company. It is classified as venture growth investor backed and is currently operating.
When was Trace Labs founded?
Trace Labs was founded in 2018. It employs 11 to 50 people.
Where is Trace Labs based?
Trace Labs is headquartered in Central, Hong Kong SAR China, in the Asia region.
How does Trace Labs make money?
Two revenue lines are on record. Freemium Open Source is the primary driver. The others are nOS Enterprise Subscription.
Who are Trace Labs's main competitors?
Direct peers on record are Stardog, The Graph, Ocean Protocol and Fluree. Emerging players are Ceramic Network, Arweave and Streamr. Broad incumbents are Palantir, Neo4j and Microsoft (Fabric / Purview).
Does Trace Labs have an API?
No public API is recorded for Trace Labs.
What industry is Trace Labs in?
Trace Labs's product category is Decentralized Knowledge Graph / AI Agent Infrastructure. Its primary akta.pro industry code is HDAEAGAH, Enterprise Search, Indexing & Content Discovery, with a secondary code of FSAPAFAE, NFT Infrastructure APIs & Indexing (NFT data APIs, indexing, search, analytics). Its NAICS code is 519290.