AI Training Data Services

Real-world data for
egocentric video
and embodied AI.

First-person video, multi-view recordings, audio and image datasets, collected to your brief, annotated by experts and delivered ready for model training.

Start Your Data Project → Explore Services
  • Custom datasets
  • Human-reviewed QA
  • Consent-based collection
AI Training Data

Everything your model needs to learn from the real world

Six connected services that take you from raw capture to AI-ready datasets.

Egocentric Video Data →

First-person AI datasets.

Exocentric Video Data →

Third-person AI datasets.

Multi-Camera Recording →

Synchronized multi-view datasets.

Data Annotation →

AI-ready data labeling.

Audio Data Collection →

Speech and voice datasets.

Image Data Collection →

Multilingual image datasets.
Service Details

Collected to your brief. Delivered ready to train.

Egocentric Video Data Collection Services

First-person (POV) video captured with head-mounted cameras and smart glasses, so AI systems learn from how humans actually see and interact with their environment. Built for robotics, embodied AI and computer vision.

What we collect

Kitchen activitiesCutting, chopping, cooking, beverage preparation, dish washing.
Household choresLaundry handling, toy sorting, vacuuming, waste segregation.
Industrial tasksPicking and placing, packaging, assembly, tool handling.
Navigation & mobilityWalking, obstacle detection, stairs, crowd movement.

Why egocentric data matters

AspectEgocentricThird-person
PerspectiveFirst-personExternal view
Context awarenessHighLimited
Human intent understandingStrongWeak
Real-world accuracyHighModerate

Exocentric Video Data Collection Services

Build powerful computer vision and AI models with high-quality video captured from third-person perspectives, using fixed cameras, PTZ, drones and vehicle-mounted systems.

What we collect

Retail & shoppingCustomer movement, product interactions, checkout behavior, queues.
Workplace operationsCollaboration, workstation usage, workflows, employee interactions.
Industrial & manufacturingFactory operations, assembly, machinery, safety procedures.
Traffic & urban mobilityVehicle movement, pedestrian behavior, parking, transit.

Key benefits

  • Complete scene visibility
  • Multi-person interaction analysis
  • Advanced behavior recognition support
  • Improved detection and activity recognition accuracy

Multi-Camera Recording Services for AI Training Data

Capture the same moment from several angles at once. We plan, calibrate and record time-synchronized multi-camera video so your computer vision, robotics and 3D models learn from complete scenes instead of single viewpoints.

Why multi-view data matters

Complete scene coverageOverlapping fields of view cover people, objects and the space between.
Occlusion resilienceWhen one camera loses a subject, another keeps it in frame.
3D & depth understandingKnown camera geometry supports triangulation and reconstruction.
Cross-view consistencyRe-identify and track the same subject from different angles.

Common setups

  • Retail & indoor spaces
  • Workplace & industrial floors
  • Robotics workcells & labs
  • Sports & human motion

Egocentric Video Annotation Services

Accurate first-person video annotation for AI training, computer vision, robotics, AR/VR and autonomous systems, supporting object detection, action recognition, activity tracking and scene understanding.

Core services

Object detection & labelingTools, products, hands, machinery and real-world objects.
Human action annotationActivities, gestures, workflows and interactions.
Semantic segmentationFrame-level segmentation for detailed scene understanding.
Motion trackingMovement patterns, object motion and user interactions.

Applications

  • Robotics & automation
  • AR/VR applications
  • Industrial AI
  • Computer vision research

Audio Data Collection Services for Advanced AI Training

Build high-performance speech and voice AI with audio datasets collected from real-world environments: multilingual speech, conversations, voice commands and environmental sounds.

Types of audio collections

Speech dataRead, spontaneous and scripted speech with accent diversity.
Voice commandsWake-words and command phrases for assistants and smart devices.
Conversations & dialoguesOne-to-one, multi-speaker, support calls and interviews.
Environmental soundsTraffic, household, industrial and public-space audio events.

Real vs synthetic audio

FeatureReal audioSynthetic
Natural speech patternsExcellentLimited
Accent diversityHighModerate
Environmental contextHighLow

Image Data Collection for Multilingual AI and OCR Training

Train vision, OCR and document AI models on real-world images that contain real text, captured to your brief, quality-checked and delivered with structured metadata.

Image types collected

Infographics & chartsCharts, posters, diagrams, maps and mixed layouts.
Handwritten notesCursive, print and mixed styles across pens and paper.
Billboards & signageStreet, transit and directional signs in day, night and weather.
Shop fronts & numbersStorefronts, menu boards, price tags, receipts and meters.

Multilingual coverage

LatinDevanagari & IndicArabic scriptChinese, Japanese, KoreanCyrillic & GreekSoutheast AsianMixed-script
How it works

An end-to-end data pipeline in six steps

  1. 01

    Scenario design

    Define tasks, environments, languages and dataset goals.

  2. 02

    Recruitment & setup

    Source diverse, consented participants and prepare capture rigs.

  3. 03

    Capture

    Record video, audio or images in real-world conditions.

  4. 04

    Annotation

    Label objects, actions and scenes with human-reviewed workflows.

  5. 05

    Quality assurance

    Check clarity, sync, coverage and consistency before delivery.

  6. 06

    Scalable delivery

    Receive structured, documented, AI-ready dataset packages.

Who it's for

Built for teams training perception AI

RoboticsEmbodied AIAR / VRAutonomous systemsHealthcareRetail analyticsManufacturingSmart homeVoice AIOCR & document AI
FAQ

Frequently asked questions

What is egocentric video data?

First-person footage captured with wearable cameras, used to train AI models to understand human perspective and actions.

Can datasets be customized?

Yes. Environments, participants, camera setups, languages, accents and activity categories are all tailored to your model and industry.

How is the data annotated?

With object tagging, action labeling, segmentation and tracking, followed by human-reviewed quality checks and consistency monitoring.

How do you synchronize multiple cameras?

Using hardware triggers, network time sync or visible and audible sync events, with alignment verified during QA.

How do you handle privacy and consent?

Contributors participate with consent and rights terms agreed before collection. Faces and personal details can be excluded or blurred when required.

How do I get started?

Share your use case, environment and target model through the form below. You will receive a proposed plan, delivery format and next steps.

Get started

Ready to build your AI training dataset?

Tell us what your model needs to learn. We will design the collection pipeline, from capture to annotated delivery.