Human Intelligence. Delivered at Scale.

The Data Partner Built for Serious AI.

Diversified Human Intelligence for Multimodal & Physical AI Systems.

Trusted by teams from Google AI, Uber AI

Image Annotation
LIVE
VEHICLE · 98.4%
BUILDING · 94.1%
Objects: 2 labeled
Accuracy: 98.4%
Time: 0.8s
ID#12 PED
ID#07 PED
FRM 001
2 Tracks Active
IoU: 0.91
30 FPS
Audio Transcription
00:03.4
S1
Speaker 1 · WER 2.1% · Confidence 97.8%
✓ PASS
Named Entity Recognition
NER v3.2 · spaCy
1× PERSON
1× ORG
1× LOC
1× DATE
Image Video Audio Text

Trusted by Leading AI Teams Worldwide

From Fortune 500 enterprises to cutting-edge AI startups, teams trust
DeepAnnotate AI for mission-critical data collection and annotation.

Multimodal & Physical AI

Human Data Generation

99.8% QA Accuracy

Across all modalities

3-Day Pilot

Guaranteed Results

50k+

Human Resources

24/7 Operations

3 global Operations

Multimodal & Physical AI - All types you need

Build efficient human data and evaluation pipelines to ship better agentic, multimodal, and frontier AI faster.

Emotional Voice Data
Generation & Annotation

Audio Generation, Speech Transcription, Speaker Diarization, Emotional Audio Tagging, Sound Classification

Physical AI Data
Generation & Annotation

Egocentric / First person Data, TeleOperations Data Generation & Annotation

Image & Text Data
Generation & Annotation

NER, sentiment analysis, intent classification, document parsing at scale.

Video Annotation Data
Generation & Annotation

Frame-by-frame tracking, temporal segmentation, activity recognition labeling.

3D / LiDAR

Point cloud annotation, 3D bounding cuboids, lane markings for autonomous systems.

RLHF / LLM Training

Human preference ranking, response evaluation, safety alignment for large language models.

Pipeline Architecture

From Brief to Production Data

Our 7-stage pipeline ensures every annotation meets production-quality standards. Most pilots deliver results within 5 business days.

01
Day 0

Brief

Define data scope, requirements, and quality benchmarks

02
Day 1

Pod Assembly

Dedicated team aligned to your data and domain needs

03
Day 1–2

Training & Calibration

Protocol training, guideline alignment, and quality calibration

04
Day 2–3

Data Acquisition

Structured data capture across environments, devices, and speaker variations

05
Day 3

Data Preparation

Cleaning, segmentation, and standardization of raw data

06
Day 3–4

Annotation

Scalable labeling workflows with real-time tracking and consistency checks

07
Day 4

QA Review

Automated checks combined with expert validation for accuracy

08
Day 5

Analytics & Delivery

Quality reporting, insights, and structured dataset delivery

step 1

01

Breif

Define scope, taxonomy & quality targets

Day 1-2

02

Pod Assembly

Curated team matched to your requirement

Day 2

03

Training

Domain-specific onboarding & calibration

Day 2-4

04

Annotation

Multi-pass labeling with live monitoring

Day 4

05

QA Review

Automated + human audit pipeline

Day 4-5

06

Analytics

Quality metrics & edge case reports

Day 5

07

Delivery

Export in any format COCO, YOLO, custom

Proven at Scale. Real Results

Video Annotation

99.2%

2.4M frames annoted in 14 days

High-Volume Video Segmentation &
Tracking

Image Annotation

99.1%

8 Annotations per image

Multi-Object Bounding Box Annotation at Scale

Audio Annotation

98.9%

Audio Data Annotation

Multi-Event Audio Annotation Across Large Datasets

Download Production-Ready Datasets

Benchmark your models with our curated, quality-verified datasets. Every sample is annotated by domain experts and passes our 3-tier QA pipeline.

Egocentric Home Videos

10GB Data. 50 Scenario. 1xFOV

Egocentric Industrial Videos

10GB Data. 50 Scenario. 1xFOV

Emotional Voice Data Samples

3 Languages · JSON Format · Mono

3D Point Cloud

2K scans · PCD / PLY · 15 objects

Get Instant Access
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