Speech & audio
Transcripts, timestamps, speaker metadata, intent and language labels, accent information and noise tags.
Example annotation
00:01.20 — 00:03.85
“Set a reminder for tomorrow.”
Intent Set reminder Language English
Global AI data services
Real-world data.
Built for AI.
Global data collection, annotation and validation for speech, vision and multimodal AI systems.
Real people. Meaningful data.
Skip introduction Built around your model
Your collection, annotation and validation — planned together, delivered to your specification.
Explore our capabilitiesBuilt for teams advancing
Speech technology Smart devices Computer vision Multimodal AI
01 / What we do
One partner.Every layer of your data.
From the first participant to the final validation, we connect the work that makes custom datasets possible.
A voice. A language. A real-world context.02 / Speech & voice
Every voice
adds understanding.
Capture the way people actually speak. Build a collection around the languages, accents, phrases and environments that matter to your system.
- Multilingual speech and accent coverage
- Scripted prompts and natural conversation
- Wake words and voice commands
- Device-specific and acoustic requirements
03 / Visual & biometric data
A clearer view
of the real world.
Thoughtful recruitment. Consistent capture. Image and video datasets built around the conditions your technology needs to understand.
Define your collection04 / Data annotation
Collected carefully.
Annotated precisely.
A dataset becomes useful when its meaning is clear. Turn raw recordings and visual captures into consistent, structured information.
Raw dataAnnotationValidationModel-ready data
Image & video
Bounding boxes, landmarks, segmentation, keypoints, attributes, tracking and event labels.
Project-defined structure
Objects & attributes Actions & events Frame-level metadata
05 / How we work
Clarity at every step.
A connected workflow, built around your technical specification and acceptance criteria.
01
Recruit
Start with the right people.
Translate your requirements into participant profiles, screening criteria and a recruitment plan.
02
Collect
Capture with purpose.
Set the scripts, equipment and collection conditions around your intended model use.
03
Annotate
Give data its structure.
Apply labels, transcripts and metadata using a project-specific annotation guide.
04
Validate
Check every requirement.
Review quality, coverage and consistency against agreed acceptance criteria.
05
Deliver
Make the handover useful.
Package accepted data, annotations and supporting documentation in the formats you need.
06 / Project possibilities
Built around what comes next.
Explore the possibilities for your next dataset. Every project is designed around your model, participants and collection requirements.
Shape your project01020304
Global multilingual speech
Language and accent coverage for speech recognition, conversational systems and model evaluation.
Language mix / Speaker profiles / Acoustic conditionsVisual & biometric collection
Participant-led capture for computer vision and biometric technology development.
Capture protocol / Device setup / Participant criteriaWake word & voice assistant
Target phrases, natural variations and device interactions for voice-enabled products.
Phrase design / Background noise / Device contextMultimodal datasets
Connected speech, image, video and contextual data for systems that work across modalities.
Synchronized capture / Shared metadata / Validation07 / People behind the data
Technical precision.
A human perspective.
Good data starts with people: participants who bring real-world variety, collection teams who guide the process, and reviewers who make every detail count.
Illustrative imagery representing our services.
Quality, by design
Confidence is built
into the process.
Global execution
Recruitment and collection organized around the markets and languages your project requires.
Specification-led delivery
Clear collection protocols, annotation guidance and agreed output formats.
Quality at every stage
Validation, consistency checks and a defined path for review and rework.
Flexible project design
Adapt participant criteria, environments and workflows to your dataset needs.
A conversation. A starting point.
Let’s build your
next dataset.
Bring us your challenge. We’ll shape the participants, collection and quality standards around what your model needs.
Prefer a conversation by email?projects@kaiyisa.com
Explore dataset samples