AI Data Operations·Powered by OkayGo
Egocentric Video Data for Robotics and Physical AI
OkayGo supports robotics, embodied AI and physical AI teams collect first-person videos of real human tasks across domestic and commercial environments using trained operators, consent-led workflows, metadata tagging, multi-layer QC and scalable delivery.
Verified Workforce
Structured Workflows
Quality Checks
Transparent Reporting
The Real Challenge
Most AI teams don't lack models - they lack the right data behind them.
Real-world capture, regional diversity, human evaluation, consent flows and metadata discipline is part of our DNA.
01
Real environments are unpredictable
Environments, lighting, noise, and human behaviour vary widely - and robots need data that can train them despite the real world chaos.
02
Quality data needs more than recording
Egocentric data requires metadata tagging, consent checks, device control, environment validation, and multi-layer QC before it becomes training-ready.
03
Scaling is an operational problem
Collecting millions of usable first-person task videos needs trained operators, workforce management, tracking, reviews, and transparent reporting.
Designed for teams building Robotics and Physical AI
From home-assistance robots to workplace automation and AI agents that understand human actions, OkayGo helps teams collect structured first-person task data from real environments at scale.
Frontier AI labs
Robotics Companies
Physical AI Companies
Global Execution Capability
Global AI Data Collection Capabilities
Production-ready AI datasets across diverse environments, specialized capture devices, multiple geographies, and enterprise-grade security.
0Scenarios
0Domestic & Commercial Environments
0Weekly Hours
0Recorders
0Countries
0QC Approved
01 · Environments
Data collected where AI meets reality
Thousands of real-world scenarios across consumer and industrial environments.
Consumer
DomesticKitchensRetail
Industrial
CommercialManufacturingWarehousesElectronics AssemblyRepair & MaintenanceTextile Industry
02 · Devices
Specialized capture across modalities
Head-mounted Smartphone RigsEgocentric capture
VR HeadsetsImmersive interaction
Full Body Motion CaptureBody movement tracking
Sensor GlovesSpatial & tactile data
03 · Geographies
Local teams with regional expertise
Scalable execution across Asia with localized behavior and diverse demographics.
IndiaMalaysiaSingaporeIndonesiaJapan
04 · Security
Security, privacy & ownership by design
Client owns all dataNo raw footage retainedSecure cloud deliveryEncrypted uploadsConsent management & PII protectionPrivacy-first execution
4K Quality Datasets
Sample Video Data
Explore our high-quality egocentric video datasets captured in 4K resolution
100K+ hours
Videos Processed
Massive scale processing
150+
Diverse Categories
Wide range of tasks
1,500+
Scenes
Commercial & Domestic Environment
Built for researchers. Trusted by innovators. Driven by quality.
Why OkayGo for AI
Why AI teams choose OkayGo
Powering AI & Robotics with Real-World Data & Human Expertise through scalable data operations and production-ready datasets.
Workforce At Scale1M+ gig workforce across India, SEA & Japan
Real-World Environments1,500+ real-world scenarios across domestic & commercial environments
End-To-End OperationsCapture, Annotate & Deliver Production-ready Datasets
Security & Ownership100% client-owned data & IP protection
01
Multi Modal and Multi Sensor Data Capture
Video, Image, Audio & Text Data Capture covering diverse domestic and commercial environments.
02
Quality Control Overview & Feedback Loops
99% recorded videos are QC approved through On-Site Review, Internal QA, Client Sample Review and Re-Capture.
03
Production-ready Dataset Delivery
Deliver data in client-defined schemas, tags and folder structures with annotations.
04
Safety Controls & Compliance
Consent Management, PII Protection, Field Agent Safety Protocols and Data Delivery Protocol.
HOW IT WORKS
From data requirement to delivery - how OkayGo AI works
A repeatable, transparent execution model - proven across collection, annotation, evaluation and human-feedback workflows.
01
Define & Scope
Map data needs - modality, geography, contributor profile, metadata & consent.
02
Source & Train
Recruit verified operators by profile & train them on project SOPs.
03
Collect & Capture
Real-world capture across homes, stores, streets & workplaces.
04
Annotate & Label
Image, video, audio, text & document labelling with defined taxonomies.
05
Evaluate & QC
Human evaluation, multi-layer QC, supervisor validation & sample audits.
06
Deliver & Iterate
Datasets in your format with QC reports, batch summaries & improvement notes.
QUALITY & GOVERNANCE
Quality, consent and governance - built into every workflow
AI data projects need control. OkayGo workflows are designed around consent-based collection, privacy rules, metadata discipline, audit trails, QC layers and secure delivery.
01
Consent-Based Collection
Contributor consent, usage disclosure, project-specific terms and approved capture guidelines.
02
Privacy Controls
Restricted capture rules, masking, redaction, sensitive-data exclusion and controlled access.
03
Metadata Discipline
Task type, location, language, device, environment, time and contributor profile tagged on every sample.
04
Multi-Layer QC
Automated checks, human review, supervisor validation, rejection logic and sample audits.
05
Audit Trail
Source, collection method, approval status, rejection reasons, quality score and reviewer comments.
06
Secure Delivery
Approved storage folders, encrypted transfer, restricted access or client-defined delivery workflows.
Frequently asked
Questions, answered.
The questions we hear most from AI teams scoping their first OkayGo project - data, capture, quality, languages and delivery.
What AI data services does OkayGo provide?
Real-world data collection, egocentric video capture, data annotation, model output evaluation, RLHF workflows, multilingual data collection, AI QC and red teaming.
Can OkayGo collect custom datasets?
Yes. OkayGo designs custom workflows based on required modality, geography, contributor profile, device type, task instructions, consent flow, metadata fields and delivery format.
Can OkayGo support egocentric video capture?
Yes. OkayGo captures first-person videos of real human tasks for robotics, physical AI, embodied AI, AR/VR and workflow learning use cases.
Can OkayGo support Indian languages and accents?
Yes. OkayGo supports speech, text, prompt and conversation datasets across Hindi, Hinglish and Indian regional languages, dialects and accents.
Can OkayGo handle annotation and labelling?
Yes. OkayGo supports image, video, audio, text and document annotation using defined taxonomies, task instructions, reviewer workflows and QC checks.
Can OkayGo evaluate AI model outputs?
Yes. Human reviewers can evaluate outputs for accuracy, relevance, hallucination, safety, tone, helpfulness, factuality and instruction-following.
How does OkayGo ensure data quality?
Projects include contributor training, SOPs, sample reviews, supervisor validation, duplicate checks, metadata review, rejection logic and QC reporting.
Can OkayGo support consent-based data collection?
Yes. Workflows can be designed with contributor consent, usage disclosure, project-specific participation terms and approved capture guidelines.
Can we start with a small pilot?
Yes. Enterprises can start with a controlled pilot to validate data quality, workflow design, contributor readiness, QC process and delivery format before scaling.
How does OkayGo keep capture environments and contributors safe?
Yes - keeping people safe comes first. Every shoot happens in a checked, safe place, and we explain the do's and don'ts before anyone starts. People always know what is being recorded and agree to it first. We only record what the task needs, we hide or leave out anyone passing by and any personal details, and we never record in private or risky places.
How are datasets delivered?
Datasets can be delivered in the required format with metadata, QC reports, batch summaries, rejection logs and client-approved delivery workflows.
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