What We DO
From Fortune 500 enterprises to cutting-edge AI startups, teams trust DeepAnnotate for mission-critical training data.
Trusted by teams from Google AI, Uber AI
Emotional Voice Data Generation & Annotation
End-to-end voice data pipelines for emotion-aware AI.
From collecting diverse speech samples across demographics and emotions, to precise transcription, speaker diarization, and emotional tagging. we build the complete audio dataset your models need.
Use Cases
- Voice assistant training
- Emotional AI systems
- Accessibility services
- Call center analytics
- Sound classification
Collection & Annotation Techniques
Audio Data Collection
Speech Transcription
Speaker Diarization
Emotion Detection
Acoustic Event Tagging
Output Formats
SRT/VTT Subtitles
JSONL Transcripts
Praat TextGrid
CSV Segments
Custom formats available on request.
Physical AI Data Generation & Annotation
First-person and egocentric data for embodied intelligence.
We generate and annotate egocentric / first-person data, tele-operations recordings, and robotic manipulation sequences enabling machines to see, grasp, and navigate physical environments with precision.
Use Cases
- Robotic arm manipulation
- Warehouse automation
- Embodied AI training
- Sim-to-real transfer
- TeleOperations data
Collection & Annotation Techniques
Egocentric Data Collection
TeleOps Recording
Instance Segmentation
Action Recognition
Grasp Point Annotation
Output Formats
COCO JSON
Custom Robotics Schema
JSONL Sequences
HDF5
Custom formats available on request..
Image & Text Data Generation & Annotation
Pixel-perfect labels for computer vision at scale.
From curating and generating diverse image and text datasets, to delivering bounding boxes, segmentation masks, NER, sentiment analysis, and intent classification all with 95%+ accuracy through our multi-layer QA pipeline.
Use Cases
- Computer vision models
- NLP & chatbot training
- Content moderation
- Document classification
- Medical image analysis
Collection & Annotation Techniques
Image Data Curation
Text Data Generation
Bounding Boxes
Semantic Segmentation
Named Entity Recognition (NER)
Video Dataset Generation & Annotation
Frame-by-frame precision for temporal AI models.
We collect and annotate video data with consistent object tracking across thousands of frames, action recognition labeling, temporal segmentation, and activity recognition maintaining coherence throughout entire sequences.
Use Cases
- Autonomous vehicle tracking
- Sports analytics
- Surveillance & security
- Action recognition research
- Activity recognition
Collection & Annotation Techniques
Video Data Collection
Multi-Object Tracking
Action Recognition
Temporal Segmentation
Event Detection
Output Formats
COCO JSON (per-frame)
MOT Format
JSONL Sequences
CSV Timelines
Custom formats available on request..
Text & NLP
Human-quality language annotations for every NLP task
From named entity recognition to sentiment analysis, intent classification to content moderation our linguistically trained pods deliver nuanced text annotations that capture the subtleties machines miss.
Use Cases
- Chatbot training data
- Search relevance tuning
- Content moderation
- Document classification
- Legal & compliance review
Annotation Techniques
Named Entity Recognition (NER)
Sentiment Analysis
Intent Classification
Text Summarization QA
Relation Extraction
Coreference Resolution
Output Formats
JSONL
CoNLL
CSV
Spacy Format
Custom formats available on request.
Audio & Speech
Emotional Voice Data Generation, Precision transcription and acoustic labeling.
Our speech annotation teams handle multi-speaker transcription, speaker diarization, acoustic event detection, and emotion tagging across 20+ languages with dialect awareness.
Use Cases
- Voice assistant training
- Call center analytics
- Podcast transcription
- Music information retrieval
- Accessibility services
Annotation Techniques
Speech Transcription
Speaker Diarization
Emotion Detection
Acoustic Event Tagging
Pronunciation Assessment
Language Identification
Output Formats
SRT/VTT Subtitles
JSONL Transcripts
Praat TextGrid
CSV Segments
Custom formats available on request.
3D LiDAR
Point cloud annotation for spatial AI.
Our 3D annotation specialists handle point cloud labeling, 3D bounding boxes, and sensor fusion annotation essential for autonomous vehicles, robotics, and spatial computing applications.
Use Cases
- Autonomous driving
- Drone navigation
- Warehouse robotics
- Urban planning & mapping
- AR/VR environment scanning
Annotation Techniques
3D Bounding Boxes
Point Cloud Segmentation
Cuboid Tracking
Sensor Fusion (camera + LiDAR)
Ground Plane Estimation
Lane Marking 3D
Output Formats
KITTI Format
nuScenes JSON
PCD Labeled
Custom Formats
Custom formats available on request.
RLHF & Alignment
Human feedback to align and improve AI models.
Our alignment specialists provide preference ranking, response comparison, safety evaluation, and red-teaming the human feedback loop that makes AI models more helpful, harmless, and honest..
Use Cases
- LLM fine-tuning
- Chatbot safety evaluation
- Content policy enforcement
- Model behavior alignment
- Red-teaming & adversarial testing
Annotation Techniques
Preference Ranking
Response Comparison
Safety Classification
Instruction Quality Rating
Red Team Prompting
Constitutional AI Feedback
Output Formats
JSONL Pairs
CSV Rankings
Custom Schemas
DPO/PPO Formats
Custom formats available on request.
Quality Assurance & SLA
Multi-Layer QA
Every annotation passes through automated checks + senior human review. If accuracy falls below 95%, we re-annotate free of charge.
Delivery Formats
COCO JSON · Pascal VOC · YOLO · JSONL · CSV · Custom schemas. We match your ML pipeline’s requirements exactly.
5-Day Pilot SLA
Start in 5 business days. No long contract, no RFP, no procurement cycle. Cancel anytime no questions asked.
Get a Custom Quote
Tell us your data type and volume. We’ll send a detailed proposal within 24 hours.