Building the Future of AIwith Human-in-the-LoopData Infrastructure
Multilingual AI and Physical AI data collection, annotation, and evaluation across global markets and real-world environments.
Multilingual AI Data Services
Speech, text and language data collected, annotated and verified by native speakers, from major world languages to low-resource languages.
Speech and audio
Voice data captured the way people really speak.
- Speech Data Collection
- ASR Data Collection and Evaluation
- Voice and Conversational AI Data
- Code-Switching Data Collection
- Accent and Dialect Data Collection
- Wake Word and Voice Command Data
Language and text
Datasets and translation with cultural accuracy.
- Translation and Localization
- Multilingual Dataset Creation
- Low-Resource Language Datasets
- Text Data Collection and Cleaning
- OCR and Handwriting Data
- Instruction and Prompt Data Creation
Annotation and evaluation
Human judgment that improves model quality.
- Transcription and Annotation
- Text and Audio Annotation
- RLHF and LLM Evaluation
- Preference Ranking and Response Rating
- Human-in-the-Loop QA
- Language Quality Assurance
Physical AI Data Services
First-person video, robotics and sensor data from real homes, kitchens, warehouses and factories, so robots and vision models learn from the physical world.
Real-world capture
Real people doing real tasks, recorded head-mounted.
- Egocentric Video Data Collection
- Commercial Environment Data Collection
- Residential Environment Data Collection
- Head-Mounted and Smartphone Recording
- Human Activity Recognition
- Object Interaction Data
Robotics
Task data that teaches robots to act.
- Robotics Training Data
- Manipulation Task Demonstrations
- Teleoperation Data
- Household and Warehouse Task Data
- Robot Perception Datasets
- Spatial Intelligence Data
Annotation and sensors
Labeled, synchronized data ready for training.
- Video Annotation and Segmentation
- Action and Temporal Labeling
- Object Detection and Tracking Labels
- RGB and IMU Sensor Data
- Depth and 3D Mapping Data
- Quality Review and Dataset Validation
Physical AI in action
Line drawings of the tasks our data teaches machines: moving cargo, stocking shelves and handling everyday objects. Purple brackets show the object tracking that annotation provides.
Real environments, real people
Egocentric and robotics data captured where the work actually happens.
A global data collection network
Contributors in residential and commercial settings across four regions, coordinated as one network. Select a region.
Why Multidata AI Enzine
Data infrastructure built around people, process and quality.
Global Multilingual Coverage
Major world languages and low-resource languages in one program.
Scalable Collection Operations
Programs that grow from pilot to production volume.
Diverse Contributor Network
Contributors across regions, dialects and environments.
Quality-Controlled Delivery
Multi-step review before any dataset ships.
End-to-End Project Management
One team from scoping to delivery.
Human-Centric Collection
Fair, consent-led work with contributors.
Physical AI and Robotics Expertise
Egocentric, sensor and spatial data for embodied AI.
BOOSTYOUR AI.
Move your AI forward with high-quality multilingual and physical-world data — collected, annotated and evaluated by people, coordinated across global markets.