Expertly Labeled Data, Across Every Modality

CapeStart prepares, labels, annotates, and enriches the data your AI and machine learning models learn from, across image, text, document, video, and audio. As part of our AI Data Services, an integrated team of analysts and subject-matter experts delivers accurate, quality-checked datasets at the scale your project needs. ProNotate, our AI output and data validation platform, keeps reviewers in charge with quality checks, validation, and sign-off across every modality.

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Data annotation

Trusted by Industry Leaders, Proven at Scale

  • Files delivered 4M+
  • 99.2% Verified accuracy
  • Industries served 25+
  • 300+ Trained data annotators
Data annotation

What We Do

We prepare and annotate images and datasets across industries including healthcare, financial services, telecom, retail, and legal. Clean, accurate, well-labeled data is what separates a model that works from one that does not.

Our data work includes

Content categorization and image labeling
Data extraction, collection, and cleaning
Data preparation and enrichment
Sentiment training and algorithm testing
Dataset validation and quality control
For clinical imaging such as CT, MRI, and X-ray, see our Medical Image Annotation.

Our Annotation Services

Annotation techniques for every use case and modality.

Image Annotation​

  • Bounding box Outline objects in images and video for object detection and computer vision.
  • Polygon annotation Use multi-vertex contour tracing to preserve the exact shape of irregular objects.
  • Key point annotation Mark key points for object pose estimation and motion tracking.
  • Semantic segmentation Classify and label every pixel for high-quality segmentation datasets.
  • Image masking Isolate objects, people, and backgrounds with detailed masks.
  • License plate annotation Precisely annotate license plates with bounding boxes and accurate character labels.

Text and Document Annotation​

  • Text classification Label intent, topics, and sentiment across text datasets.
  • Named entity recognition Tag entities and domain-specific terminology in text.
  • Document annotation Identify and label fields and regions across invoices, contracts, forms, and scanned business documents.

Video and Audio Annotatio

Video and Audio Annotation​

  • Video annotation Label and track objects, actions, and events across video frames.
  • Video transcription and labeling Transcribe and label speech, events, actions, and timestamps.
  • Audio transcription and labeling Transcribe and label speech, speakers, sounds, and key audio events.

3D and LiDAR Annotation

  • Point cloud annotation Label objects in LiDAR, radar, and depth sensor data.
  • 3D cuboid annotation Mark object position, dimensions, and heading for 3D detection.
  • Point cloud segmentation Assign a class to every point across road, terrain, and structures.
  • Sensor fusion annotation Link 3D objects to matching regions in camera frames.

Image Annotation

  • Bounding box: outline objects in images and video for object detection and computer vision.
  • Polygon annotation: use multi-vertex contour tracing to preserve the exact shape of irregular objects.
  • Key point annotation: mark key points for object pose estimation and motion tracking.

Segmentation and Masking

  • Semantic segmentation: classify and label every pixel for high-quality segmentation datasets.
  • Image masking: isolate objects, people, and backgrounds with detailed masks.
  • Circle and ellipse annotation: label circular and elliptical objects with precise boundaries.

Text and Document Annotation

  • Text classification: label intent, topics, and sentiment across text datasets.
  • Named entity recognition: tag entities and domain-specific terminology in text.
  • Document annotation: identify and label fields and regions across invoices, contracts, forms, and scanned business documents.

Video and Audio Annotation

  • Video annotation: label and track objects, actions, and events across video frames.
  • Video transcription and labeling: transcribe and label speech, events, actions, and timestamps.
  • Audio transcription and labeling: transcribe and label speech, speakers, sounds, and key audio events.

Scale and Deliver

Our integrated team scales the project quickly and delivers quality-checked, accurately labeled datasets for your review and sign-off.

From Sample to Signed-Off Dataset

Scale and Deliver
01
Requirements
You share a data sample and your annotation, labeling, and formatting requirements, including complex use cases. where AI can create measurable impact.
02
Sample Annotation
We prepare and annotate a sample of your data, so you can evaluate the quality before moving forward.
03
Refinement
We use your feedback to refine annotation and labeling parameters, write team instructions, and create training documentation.
04
Delivery
Our integrated team scales the project quickly and delivers quality-checked, accurately labeled datasets for your review and sign-off.
Why Capestart

Accurate, Consistent Annotation You Can Build a Model On

Precision and Quality Control

High-quality annotations with multi-level quality checks for accuracy, consistency, and reliability.

Built to Scale

From small pilot projects to millions of assets, with workflows designed to maintain quality as volume increases.

Industry-Specific Expertise

Domain-trained experts who annotate to the standards and context of your industry.

Data Privacy and Security

Strict security protocols keep sensitive data protected and confidential.

See Us in Action

A five-year partnership delivering accurate, scalable annotation to the dental industry.

Consistent, precise data annotation for a security technology provider.

Logo annotation and chat-data labeling to train AI models for a consumer brand.

Annotation of diverse financial forms to train OCR models for a banking client.

Ready to Get Your Data Labeled?

Share a sample and your requirements. We will prepare a sample annotation, so you can review the quality before moving forward.

Talk to Our Experts

Tell us what you’re trying to achieve, and we’ll get back to you.