What IO.AI LTD does

io-ai (legal entity IOweb3 Technologies) is an expert-managed data services company that provides annotation, generative-AI evaluation, and real-world data collection for AI models. The company runs a vetted in-house workforce of 120 experts operating a five-stage QA pipeline (Annotator → Peer check → Auditor → Lead review → Client delivery) that holds >98% accuracy on rolling audits. Its core offering is organized into six service lines: Image & Video Annotation, Sensor/3D & EO/IR, Generative-AI Evaluation & RLHF, Data Collection (including egocentric and physical-AI capture), Content Moderation, and Dedicated Managed Teams. The company also licenses a catalog of 240+ expert-collected datasets spanning text (2.6B+ words), video (132k+ hours), audio (2.1M+ hours across 40+ languages), egocentric video (100k+ hours), code (~1B tokens), and medical data (70M+ points).

The company targets enterprise customers in safety-critical and frontier-AI verticals: Autonomous Vehicles, Aviation & Aerospace, Robotics & Embodied AI, Maritime & Defense, Generative-AI Labs, and Industrial Inspection. Named clients include Uber AI Solutions (for which io-ai holds official global vendor designation), Airbus, Anthropic, Trace Labs, Abyss Solutions, Regent, and Uber Eats. Workloads include runway edge labeling for assisted-landing AI, maritime EO/IR detection with sea-state metadata, vehicle damage segmentation, warehouse robot action labeling, and four parallel frameworks for generative-image evaluation (aesthetic A/B, prompt fidelity, typography accuracy, anatomy QA).

io-ai monetizes through project-based annotation services and dedicated managed team engagements (quote-based, no public pricing), supplemented by dataset licensing. The go-to-market is direct enterprise field sales with a pilot scoping process; delivery spans APAC, EMEA, and LATAM. The company is privately held with no disclosed funding, founders, or revenue. SOC 2 Type I and ISO 27001 certifications are in progress. India-based contact numbers (+91) and the IOweb3 Technologies legal name indicate an India-domiciled operating base, while the brand positioning ("independent & lab-neutral — not owned by a model lab or hyperscaler") is a deliberate market stance against vertically integrated AI vendors.

Name

IO.AI LTD

Legal name

IOweb3 Technologies

Website

https://io-ai.io

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

io-ai is an expert-managed data services company providing AI annotation, generative-AI evaluation, and real-world data collection for enterprise clients including Uber AI, Airbus, and Anthropic, delivered by 120 in-house experts at >98% accuracy across APAC, EMEA, and LATAM.

Ownership category

akta.pro rank

Product category

AI Data Annotation Services

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Annotation Tooling & Workflow Management (HDAAALAC)

akta.pro secondary industries

AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Responsible AI, AI Governance & Compliance Services (BPAEAHAJ)

Keywords

• Data annotation services
• AI training data
• Generative AI evaluation
• RLHF data services
• Computer vision annotation

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Markets served

GTM type

B2B

Offering type

Services

Cost components

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

Revenue model

1. Project-based Annotation Services: Batched annotation projects for defined deliverables across image, video, sensor, and EO/IR modalities. Customers include Uber AI, Airbus, Anthropic, and others.
2. Dedicated Managed Teams: Vetted, trained dedicated teams working as extension of customer teams for continuous or high-security programs. Long-running programs with weekly reporting.
3. Dataset Licensing: License-ready expert-collected datasets including text corpus, multimodal Q&A, video, audio, medical, code, image, and egocentric datasets.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Core offering

io-ai delivers expert-managed AI data services including image and video annotation, sensor/3D/EO-IR annotation, generative-AI evaluation and RLHF, egocentric and physical-AI data collection, and policy-driven content moderation. Services are performed by 120 vetted in-house experts through a five-stage QA pipeline that maintains >98% accuracy on rolling audits. The company also licenses 240+ expert-collected, human-verified off-the-shelf datasets spanning text, video, audio, code, medical, image, and egocentric modalities.

Product overview

io-ai is an expert-managed data services company offering a unified platform of annotation, generative-AI evaluation, and real-world data collection services. The core offering comprises six service lines: Image & Video Annotation, Sensor/3D/EO-IR, Generative-AI Evaluation & RLHF, Data Collection, Content Moderation, and Dedicated Teams. These services are delivered by vetted in-house experts at >98% accuracy through a multi-level QA pipeline. The company also maintains a catalog of 240+ license-ready datasets spanning text, multimodal, video, audio, code, medical, and egocentric modalities, covering 2.6B+ words of text, 132k+ hours of video, 2.1M+ hours of audio, and 100k+ hours of egocentric data. Services are available as project-based engagements or through dedicated managed teams for continuous programs.

Differentiator

Problem solved

Functional benefit

Products and services

• Image & Video Annotation Polygon, box, segmentation, keypoint and video action labeling for computer vision models, delivered by trained in-house experts at >98% accuracy. Used by autonomous vehicle, aviation, robotics and industrial-inspection AI teams.
• Sensor, 3D & EO/IR Annotation Electro-optical/infrared object detection, oriented boxes, track IDs, shoreline and structure polygons, and scene-level metadata (sea state, visibility, time-of-day) for maritime, aviation and defense applications.
• Generative-AI Evaluation & RLHF High-signal human judgment for aligning and benchmarking generative image and LLM models: aesthetic A/B evaluation, prompt-fidelity matching, typography and anatomy QA, and ranked preference data for reinforcement learning from human feedback (RLHF).
• Data Collection Egocentric (first-person) and physical-AI data collection including head/wrist-mounted video, teleoperation, manipulation, and real-world task data for robots, humanoids and AR, plus POI/geo-referenced field data, multilingual speech, and UI/screenshot capture.
• Content Moderation Policy-driven moderation and catalog hygiene with consistent, auditable decisions. Includes UGC/review moderation, policy classification, dietary tagging, and rejection-reason metadata on every decision.
• Dedicated Teams Vetted, trained and managed expert teams that operate as an extension of the client's team for continuous, high-security or large-scale programs, including dedicated annotators, PM and QA layers, and flexible ramp-up/scale-down.
• Educational Text Corpus Dataset 2.6B+ words from 38,000 textbooks across 5,000+ subjects in 15 languages, expert-collected and human-verified, available for licensing.
• Verified Q&A Pairs Dataset 6.7M+ human-verified Q&A pairs with interwoven images for richer context, providing a multimodal text+image dataset for training AI models.
• Video Dataset 132k+ hours of STEM, storytelling and large-scale UGC video across 4.5M+ clips, available for licensing.
• Audio / Speech Dataset 2.1M+ hours of multilingual speech data with strong call-center and podcast coverage across 40+ languages, expert-collected and labeled.
• Medical Dataset De-identified structured clinical data with 70M+ points across 2.07M+ patients for healthcare AI development.
• Code Dataset ~1B tokens across 12k+ repositories covering DSA, SQL, system design, competitive math, and real-world code.
• Image Dataset 2.3M+ images across 11 categories including STEM, non-STEM, educational and document images, human-verified for model training.
• Egocentric Dataset 100k+ hours of first-person (egocentric) capture for spatial reasoning, action understanding and agent training, including head/wrist-mounted video for embodied AI applications.

Quantifiable outcome

• >98% accuracy on rolling audits
• +4 more outcomes

Named customers7 records

Segments7 records

Ideal customer profiles7 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability11 records

Feature4 records

Partnerships

One partnership is on record.

• Uber AI SolutionsflagshipOthersOfficial global vendor status for Uber AI Solutions. Delivered multiple projects including maritime EO/IR detection, damage segmentation for vehicle perception, and content moderation work.

Scale indicators12 records

Recent moves6 records

Expansion highlights6 records

Emerging players

• Encord: Encord provides an annotation and data development platform for computer vision and multimodal AI, with workflow tooling for medical, robotics, and AV use cases. It overlaps with io-ai's image/video and egocentric data offerings for specialized enterprise verticals.
• Snorkel AI: Snorkel AI focuses on programmatic data labeling, weak supervision, and data-centric AI development for enterprise model teams. It is an emerging alternative to fully human annotation for portions of the training-data workflow that io-ai currently serves.

Direct peers

• CloudFactory: CloudFactory delivers managed, trained analyst teams for AI data labeling, content moderation, and data processing across vision and text. It directly parallels io-ai's dedicated managed teams and content moderation service lines for enterprise customers.
• Surge AI: Surge AI specializes in high-signal human feedback data, RLHF, and evaluation for frontier AI labs, with a particular focus on generative model alignment. It competes head-on with io-ai's Generative-AI Evaluation & RLHF offering for clients like Anthropic and other model labs.
• Labelbox: Labelbox offers an enterprise data-centric AI platform combining annotation tooling with managed labeling services for computer vision and generative AI. It overlaps with io-ai's image/video annotation and generative-AI evaluation use cases for enterprise AI teams.
• Sama: Sama provides expert-managed annotation and data preparation services for enterprise AI, with emphasis on impact sourcing and trained in-house teams rather than anonymous crowds. It is closely comparable to io-ai's vetted-expert, multi-level QA delivery model across vision and sensor modalities.
• Appen: Appen is a long-standing data annotation provider serving enterprise AI teams with a global crowd workforce across image, text, audio, and video modalities. It overlaps directly with io-ai's project-based annotation and dedicated managed team services for enterprise AI customers.
• SuperAnnotate: SuperAnnotate provides an end-to-end annotation platform with optional managed services for image, video, and multimodal AI data. It targets the same enterprise computer-vision and multimodal evaluation buyers that io-ai serves with its annotation and QA pipeline.
• Scale AI: Scale AI is the dominant enterprise AI data labeling and evaluation platform, offering annotation, RLHF, and generative-AI evaluation services to frontier model labs and enterprises. It directly competes with io-ai across image/video annotation, RLHF, and dedicated team offerings.

Broad incumbents

• TELUS International (Lionbridge AI): TELUS International (acquired Lionbridge AI) is a large-scale enterprise data annotation and digital CX provider with global delivery. It competes with io-ai in annotation, content moderation, and dataset services as part of a much broader portfolio.

Market position

Strengths5 records

Weaknesses3 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/io-ai-io
• Instagraminstagram.com/io.ai_app?igsh=bmNnZjFubG5iZjh5

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

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 IO.AI LTD