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COMPREHENSIVE DATA SERVICES

The data enginefor AI

Bringing intelligence to life through data.

Images, video, speech, text, 3D and multimodal data.
Collection, preparation, annotation and quality delivery services.

Discuss your projectExplore data services

FROM RAW DATA TO REAL VALUE

From raw data.
To real value.

Agree on the task and acceptance criteria. Test the approach on a pilot.
Receive the data, guidelines, indexes and review records together.

See how delivery works
Photographic samples connect with structured data layersSAMPLE → DELIVERY
6
Core data types

Image, video, speech, text, 3D and multimodal

200+
Clients served

Supporting data projects across industries

98.6%
On-time delivery rate

69 of 70 delivery batches on schedule

Collect → Deliver
End-to-end data services

Collection, preparation, annotation and review

WHERE DO WE START?

What does your next step need?

01

Need more data?

Define sources, scenarios and sample coverage around your gaps. Validate a pilot before planning further collection.

02

Already have data?

Turn scattered material into data ready for annotation, review and reuse.

03

Ready to scale?

Align a pilot and review criteria before expanding production and delivery.

01 / THE DATA WORKFLOW

One task.
Every stage connected.

Start where your project is today. Explore what each stage needs, how we work and what comes next.

Data collection01 / COLLECT

From source to usable data

Data collection

Find the data you need.

Plan sources, scenarios and sample coverage. Check a pilot before scaling collection.

YOUR STARTING POINT
A use case, coverage gaps and source constraints.
WHAT YOU RECEIVE
Source plan · Pilot samples
Explore this stage

RAW → READY

From scattered files to connected data

IMAGEAUDIOTEXT
01Filter02Deduplicate03Normalize
Shared index
IDSourceVersion

Record exceptions and missing values. Keep the source evidence.

Cleaning & preparation

Turn raw files into organized data.

Filter, deduplicate and normalize. Keep source references, pairs and versions connected.

YOUR STARTING POINT
Raw files, source references and a target structure.
WHAT YOU RECEIVE
Cleaned files · Data indexes
  1. 01

    Assess & filter

    Check sources, file usability and coverage; identify missing or unsuitable material.

  2. 02

    Clean & normalize

    Deduplicate, normalize encoding and formats, and apply agreed sensitive-field handling.

  3. 03

    Index & connect

    Organize classes, fields, pairs and version IDs without losing source references.

Discuss data preparation
Data annotation03 / ANNOTATE

From source to usable data

Data annotation

Make every label meaningful.

Agree on classes and boundaries using a pilot, then apply the same guidelines during annotation and review.

YOUR STARTING POINT
Representative samples, classes and review criteria.
WHAT YOU RECEIVE
Labels · Versioned guidelines
Explore this stage

REVIEW → RECORD → HANDOVER

More than a folder of files

Rule version

Criteria used for review

Review scope

Batches, units and sampling records

Issues & rework

Resolution trail and open items

Delivery index

Files linked to versions and results

Trace each checklist item back to its review evidence.

Quality & delivery

Deliver data you can inspect.

Review against agreed criteria, track rework and deliver a clear manifest with the data.

YOUR STARTING POINT
A completed batch, agreed rules and an acceptance scope.
WHAT YOU RECEIVE
Review records · Delivery manifest
Explore this stage

DATA ACROSS MODALITIES

Every modality. A clear purpose.

Define the task, processing rules and delivery format around the data you work with.

Discuss your data needs

02 / DATA MEETS THE REAL WORLD

Different worlds.
One data partner.

A factory, a conversation, a moving robot. Each application starts with a different question for the data.

Industrial vision
INDUSTRY IN FOCUS / 02

Define defects. Review them consistently.

Defect regions · Boundary rules · Review records

Explore Industrial vision

03 / INSIDE THE WORK

Explore the task.
See how it is delivered.

Explore project scopes, annotation decisions and deliverables across industries.

All case studies
Four metal surfaces showing normal texture, a scratch, a dent and a stainIndustrial vision

From surface variation to consistent defect boundaries

Define consistent region labels for metal surfaces, using normal textures and defect samples.

Project scope:600 Images · 4 Label classes · 1 Pilot batch

Explore the case study
A mug, its detail photographs and packaging beside other product categoriesRetail & products

Connecting multi-view images with product attributes

Connect product views with catalog attributes, resolving variant differences and conflicting fields.

Project scope:240 Product records · 720 Product images · 3 Views / product

Explore the case study
Audio waveforms, headphones and a transcription review deskSpeech & content

From recorded dialogue to traceable intent labels

Link recordings, speakers, transcripts and intents without losing the conversation context.

Project scope:60 Recordings · 300 Audio minutes · 6 Intent classes

Explore the case study
Two cameras observing a robot arm transferring an object between traysRobotics & embodied AI

Organizing tabletop manipulation into task sequences

Organize grasping, transfer and return sequences, linking visual and depth data with action outcomes.

Project scope:24 Task sequences · 3 Task types · 8 Sequences / type

Explore the case study

ROAD PERCEPTION / PROJECT SERIES

Automotive: connected sensor data

12 sequences · 1,200 synchronized keyframe groups

Collection: a plan for scene coverage

120 planned clips · 20 seconds per clip

Annotation: align rules on a small batch

360 images · 4 classes · 1 pilot batch

HOW WE DELIVER

From shared understanding to traceable delivery.

Four stages connect initial requirements to handover. Explore the full workflow and sample records on the delivery page.

  1. 01

    Scope & assessment

    Define the use case, data types, sources and deliverables.

  2. 02

    Samples & guidelines

    Pilot collection, preparation or annotation to align methods and checks.

  3. 03

    Production & review

    Process each task in batches and track issues and rework.

  4. 04

    Acceptance & handover

    Check the agreed scope and deliver data with records.

QUALITY IN EVERY STEP

Quality records accompany the data.

Make rule versions, review coverage and open issues clear, so every delivery can be checked.

  • Rule versions
  • Review scope
  • Rework records
  • Delivery manifest
Explore delivery & quality

GLOBAL CONNECTIONS · LOCAL UNDERSTANDING

Across borders. Connected by data.

We work with partners across Asia, Europe and North America, with language support for international data projects.

Partner locations

07
World land outlines with markers for the United States, United Kingdom, France, Italy, Afghanistan, Pakistan and Singapore.United StatesUnited KingdomFranceItalyAfghanistanPakistanSingaporePARTNER COUNTRIES ACROSS THREE REGIONS

Asia

  • Pakistan
  • Afghanistan
  • Singapore

Europe

  • Italy
  • France
  • United Kingdom

North America

  • United States

Supported languages

06
  • English
  • French
  • Italian
  • Urdu
  • Pashto
  • Arabic

Discuss the language, task and data requirements for your project.

Explore our international collaboration

Further information