Enterprise Annotation Platform

Professional-grade tools for multi-modal data annotation at scale. Built for AI teams who need speed, accuracy, and flexibility.

Built for production AI workflows

Everything you need to manage large-scale annotation projects from a single platform.

Multi-modal Support

Annotate images, videos, text, audio, 3D point clouds, and more from a unified interface.

AI-assisted Labeling

Pre-labeling and smart suggestions using foundation models to accelerate annotation speed.

Quality Control

Built-in review workflows, consensus labeling, and automated quality checks.

Team Collaboration

Real-time collaboration with role-based access control and project management tools.

Custom Workflows

Configurable annotation pipelines and custom task types to match your specific needs.

API & SDK

Comprehensive RESTful API and Python SDK for programmatic access and integration.

Enterprise Security

SSO integration, audit logs, data encryption, and compliance with SOC 2, GDPR, HIPAA.

Flexible Deployment

Cloud SaaS or on-premise deployment options to meet your security requirements.

3D Point Cloud Annotation

Advanced tools for annotating lidar and 3D sensor data. Essential for autonomous vehicles, robotics, and AR/VR applications.

Annotation Types

  • 3D bounding boxes with rotation
  • Semantic segmentation (per-point labeling)
  • Instance segmentation
  • Object tracking across frames
  • Sensor fusion (lidar + camera)

Key Features

  • Multi-view visualization (BEV, perspective)
  • Automatic ground plane detection
  • Interpolation for sequential frames
  • Quality validation tools
VEHICLE DETECTION INFO Class: Vehicle Conf: 98.7% Points: 2,847 Dims: 4.8×1.8×1.5m 4.8m 1.5m Frame: 0247 | Points: 128,403 | FPS: 10 3D POINT CLOUD ANNOTATION
DETECTION INFO Objects: 5 FPS: 30.0 Model: YOLOv8 Conf: >0.65 F: 0247/1200 Person 0.94 Car 0.91 Bike 0.87 Person 0.72 00:08.2 / 00:40.0 5 obj CONFIDENCE 94% 91% 87% TRACKING #01 Person v:1.2 #02 Car v:3.8 #03 Bike v:2.1 SEGMENTS Road Walk Person Vehicle IMAGE & VIDEO ANNOTATION

Image & Video Annotation

Comprehensive tools for computer vision annotation. From simple bounding boxes to complex pixel-level segmentation.

Annotation Types

  • Bounding boxes (2D/3D)
  • Polygons and polylines
  • Semantic segmentation
  • Instance segmentation
  • Panoptic segmentation
  • Keypoint annotation
  • Object tracking in videos
  • Action recognition

Advanced Features

  • AI-powered pre-labeling
  • Smart polygon tools (edge snapping)
  • Video interpolation
  • Batch annotation operations
  • Custom attribute hierarchies

Speech & Audio Annotation

Professional tools for transcription, speaker diarization, and acoustic analysis. Built for speech recognition and audio AI.

Annotation Types

  • Speech transcription (word & phoneme level)
  • Speaker diarization
  • Emotion and sentiment tagging
  • Acoustic event detection
  • Speech quality assessment
  • Language identification

Platform Features

  • Waveform visualization
  • Spectrogram analysis
  • ASR-assisted transcription
  • Keyboard shortcuts for speed
  • Multi-channel audio support
  • Time-aligned text export
interview_session_042.wav - Audio Annotator DURATION 03:24.7 WORDS 487 SPEAKERS 2 detected ACCURACY 97.3% SAMPLE RATE 48kHz VU Speaker A (Host) Speaker B (Guest) 0:00 0:51 1:42 2:33 3:24 TRANSCRIPTION OUTPUT A [00:00.0 - 00:18.4] conf: 0.98 "Welcome to today's episode. We're discussing the future of ... B [00:18.9 - 00:42.1] conf: 0.96 "Thanks for having me. I think artificial intelligence will ... A [00:42.5 - 01:05.8] conf: 0.97 "That's a fascinating perspective. How do you see this ... 8kHz 4kHz 2kHz 1kHz 250Hz SPEECH & AUDIO ANNOTATION
nlp_annotator.py - Entity View 1 2 3 4 5 Apple CEO Tim Cook announced ORG PERSON new products at WWDC 2024 in EVENT Cupertino, CA on June 10, 2024 LOC DATE The event was highly anticipated 0.97 0.99 0.94 0.96 0.91 CEO_OF ORGANIZER HELD_AT Dependency Parse: announced Cook products Tim new nsubj dobj compound amod Progress: 87% Entity Types PERSON (2) ORG (1) LOC (1) DATE (1) EVENT (1) SENTIMENT Analysis Panel Entities Found 6 / 6 Relations 3 extracted Sentiment +0.72 Positive Model bert-large-ner F1: 0.942 | Acc: 0.961 Stats Tokens: 24 Latency: 42ms Batch: 1/128 Classification Technology News TEXT & NLP ANNOTATION

Text & NLP Annotation

Powerful tools for text classification, entity recognition, and relation extraction. Designed for NLP model training.

Annotation Types

  • Named entity recognition (NER)
  • Text classification
  • Sentiment analysis
  • Intent detection
  • Entity relation extraction
  • Coreference resolution
  • Question answering
  • Text summarization quality

Features

  • Highlight-based entity tagging
  • Hierarchical label taxonomies
  • Multi-label classification
  • Span-based annotations
  • Context-aware suggestions

OCR & Document Annotation

Specialized tools for document understanding, form extraction, and handwriting recognition.

Capabilities

  • Text region detection
  • Reading order annotation
  • Key-value pair extraction
  • Table structure recognition
  • Handwriting transcription
  • Document layout analysis
  • Form field extraction

Use Cases

  • Invoice processing
  • Receipt scanning
  • ID document verification
  • Medical records digitization
  • Historical document transcription
LOGO INVOICE #INV-2024-0847 Date 2024-06-15 DATE Vendor Acme Corp. ORG Total Amount $12,458.00 AMOUNT Item Description Qty Price Widget A Premium widget 10 $5,000 Service B Consulting 20 $3,000 Part C Replacement 5 $2,458 Total $12,458 TABLE 1 2 3 4 EXTRACTION Status: Active Fields Found: 12 Avg Conf: 96.4% Model: DocTR-v2 FIELDS Invoice Number 99% Date 97% Vendor Name 95% Total Amount 98% Table (4 rows) 94% Line Items (3) 92% Progress: 88% LAYOUT Headers: 2 Tables: 1 Text blocks: 4 Page 1/3 | Language: EN | Rotation: 0° | DPI: 300 OCR & DOCUMENT ANNOTATION

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