Anaxi Labs

What Anaxi Labs does

Anaxi Labs is a Physical AI data infrastructure company founded in 2024 by Carnegie Mellon University alumni in Computer Science and Robotics. The company builds a world-scale AI data supply chain that produces curated, high-fidelity motion-capture data for AI and robotics companies developing physical AI systems, with capacity at tens of thousands of hours of training data per week across hundreds of scenarios spanning multiple industries. Its platform includes a consumer-facing mobile application (WorldSight AI) that enables everyday smartphone users in emerging markets to record and upload motion tasks, a petabyte-scale backend processing infrastructure with closed-loop evaluation, a GDPR-native compliance architecture, and a novel economic layer for fair contributor compensation. A programmable Data Marketplace enables the packaging, discovery, and monetization of AI components including datasets, prompts, agents, and workflows, with built-in metering and automatic revenue sharing.

The company pursues a dual go-to-market model: a product-led, community-driven approach to acquire data contributors via the WorldSight AI app, and a marketplace-led B2B approach that monetizes the resulting data assets and downstream AI building blocks. As of 2025, the contributor network is live in five initial markets (Indonesia, Vietnam, Malaysia, Nigeria, Kenya), with plans to expand to ten additional countries. The company also collaborates with Carnegie Mellon University on research projects, including the joint AgentWebBench benchmark for AI agent coordination and a whitepaper on the economic foundations of generative AI systems.

Anaxi Labs' revenue model centers on data monetization and marketplace commissions, with the Data Marketplace applying metered usage pricing and automatic revenue sharing to contributors whose data assets power downstream AI outcomes. Pricing for B2B transactions is not publicly disclosed. The company is privately held, venture-backed (though no funding amounts or investors are disclosed), with 1-10 employees and no reported revenue figures. It is incorporated in the United States (inferred from the CMU affiliation context and .com domain) and operates as an independent entity with no disclosed parent or subsidiary structure.

Name

Anaxi Labs

Legal name

Anaxi Labs

Website

https://anaxilabs.com

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Anaxi Labs is a 2024-founded Physical AI data infrastructure company building a world-scale AI data supply chain and programmable Data Marketplace. It serves AI/robotics companies with curated motion-capture data collected through its consumer-facing WorldSight AI app across emerging markets.

Ownership category

akta.pro rank

Product category

AI Data Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Software Publishers (5132)

SIC

Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Annotation Tooling & Workflow Management (HDAAALAC)

Keywords

• AI data supply chain
• Physical AI training data
• Motion capture data
• AI data marketplace
• Robotics data infrastructure

Headquarters

HQ city

Santa Monica

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Operations, Marketing or Sales

Revenue model

1. Data Marketplace Transactions: Marketplace for datasets, prompts, agents, and workflows where usage is metered and revenue is automatically shared with contributors whose assets power downstream outcomes.
2. Data Contributor Compensation: Fair compensation for contributors generating high-fidelity motion capture data using transparent valuation tools and economic layer.
3. Physical AI Training Data: Sale of curated, high-fidelity motion data processed through petabyte-scale infrastructure for robotics training purposes.

Go-to-market motion2 records

Distribution channels3 records

Marketing channels3 records

Core offering

Anaxi Labs operates a world-scale AI data supply chain and a programmable marketplace for AI components, capturing high-fidelity motion and physical interaction data through its consumer-facing WorldSight AI mobile app and processing it on petabyte-scale infrastructure. Curated datasets, prompts, agents, and workflows are then sold to AI and robotics companies via a B2B Data Marketplace with metered usage and automated revenue sharing to contributors.

Product overview

Anaxi Labs operates as a platform-plus-infrastructure architecture centered on a world-scale AI data supply chain for Physical AI. The core offering includes WorldSight AI (consumer-facing data collection app), a petabyte-scale processing infrastructure, and a Data Marketplace for AI components. These products integrate through a global compliance architecture and economic layer that enables fair compensation for contributors. The company also develops proprietary benchmarks like AgentWebBench and conducts research partnerships with academic institutions.

Differentiator

Problem solved

Functional benefit

Brands

• WorldSight AI: A global, real-world consumer-facing data collection platform for Physical AI training data. It serves as the mobile interface for contributors to record and upload daily motion tasks, feeding into Anaxi Labs' petabyte-scale backend infrastructure for processing, annotating, and curating high-fidelity motion data for robotics.

Products and services

• WorldSight AI Consumer-facing mobile platform that enables global contributors to record and upload motion capture tasks, serving as the entry point into Anaxi Labs' petabyte-scale Physical AI data infrastructure. Supports data collection across culinary operations, domestic upkeep, and technical repairs.
• AI Data Supply Chain World-scale physical AI data supply chain with capacity at tens of thousands of hours of training data per week, spanning hundreds of scenarios across multiple industries. Built for benchmark-ready, compliant-by-design data processing.
• Data Marketplace Programmable marketplace for AI components where datasets, prompts, agents, workflows, and other components can be published as reusable building blocks. Features metered usage and automatic revenue sharing with contributors.
• Petabyte-scale Processing Infrastructure Backend infrastructure for processing, annotating, and curating high-fidelity motion data at petabyte scale through real model training pipelines. Supports world-scale data operations with closed-loop evaluation capabilities.
• AgentWebBench Research benchmark developed with Carnegie Mellon University that rigorously tests how AI agents coordinate with each other to answer questions online. Covers 100 websites and 18.4 million documents.

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature7 records

Partnerships

One partnership is on record.

• Carnegie Mellon University (CMU)coreStrategic or Co-development Partner · 2 April 2026Research collaboration to study economic foundations of generative AI systems. Includes joint whitepaper on AI monetization strategies (advertising vs subscription) and research on agent-to-agent interaction and dataset evaluation/pricing. Also includes AgentWebBench benchmark developed with CMU to test AI agent coordination.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Scale AI: Scale AI is the leading data labeling and annotation platform serving generative AI and autonomous systems. It directly competes with Anaxi Labs in providing high-quality training data — including motion and robotics-adjacent data — through a managed crowd workforce, and operates a similar data marketplace.
• Encord: Encord provides data labeling, curation, and evaluation tools specifically for computer vision and multimodal AI, including video and motion data. It is a direct peer in physical-world AI data tooling with similar target customers in robotics and autonomy.
• Appen: Appen provides crowdsourced data annotation and dataset services for machine learning and AI applications globally. It is a long-established direct competitor in the AI training data supply chain, with comparable multi-language, multi-region contributor coverage.
• Sama: Sama delivers high-quality annotated data for computer vision and AI, with a focus on video and complex multimodal annotation across global hubs. It is comparable as a video/motion-data labeling vendor competing for similar robotics and autonomy customers.
• Roboflow: Roboflow offers computer vision data management, labeling, and model training infrastructure, with growing exposure to robotics and video annotation use cases. It is comparable to Anaxi Labs as a developer-friendly data platform for vision-based AI applications.
• Labelbox: Labelbox is an enterprise data labeling platform for AI teams, supporting image, video, and multimodal annotation workflows. It overlaps with Anaxi Labs in providing managed labeling infrastructure and tooling for computer vision and robotics customers.

Emerging players

• Physical Intelligence: Physical Intelligence is a well-funded robotics foundation-model company working on general-purpose robot policies. While downstream of Anaxi Labs' data layer, it represents the demand-side category Anaxi Labs serves and validates the physical-AI market thesis.
• Snorkel AI: Snorkel AI applies data-centric AI and programmatic labeling to enterprise model development, addressing dataset construction and evaluation challenges. It overlaps with Anaxi Labs in the data infrastructure layer for AI but focuses on programmatic rather than crowd-sourced labeling.

Broad incumbents

• Amazon SageMaker Ground Truth: AWS Ground Truth is a managed data labeling service within the broader AWS AI/ML platform, offering human-annotated datasets via its own workforce plus third-party vendors. It is a broad incumbent alternative for enterprise training data procurement that competes at the platform layer.
• Hugging Face: Hugging Face operates a broad AI platform that includes dataset hosting, model marketplaces, and community tooling for AI builders. It overlaps with Anaxi Labs as a marketplace for AI components (datasets, agents, workflows) and is a credible incumbent alternative for AI researchers and developers.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/anaxilabs
• LinkedInlinkedin.com/company/anaxilabs

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles1 record

Funding overview

Funding rounds1 record

Investors2 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Anaxi Labs