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SupportYourApp, Inc.

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Data Providerslabelyourdata.comWilmington, Delaware, United StatesUpdated

Label Your Data provides scalable data labeling and annotation services for AI/ML teams across industries.

Overview

SupportYourApp, Inc., doing business as Label Your Data, provides professional data labeling and annotation services for AI and ML teams. The organization supports a wide range of data modalities, including image, video, text, and 3D point clouds, as well as geospatial labeling and OCR-related annotation. It serves industries such as mobility and autonomous systems, retail, robotics and physical AI, geospatial, manufacturing and logistics, energy and utilities, construction, sports technology, defense technology, and trust & safety. The company emphasizes secure handling of client data, compliance with data protection frameworks, scalable teams, and rigorous quality assurance processes to help clients accelerate model development and deployment. It partners with clients to design annotation workflows, run pilots, and deliver annotated data at scale, with global annotator networks and dedicated QA teams.

Mission statement

To help AI teams build reliable models by delivering high-quality, scalable data labeling and annotation services with strong privacy and security.

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What we offer

Data Annotation Platform

Efficiently manage and optimize your data annotation processes at scale.

Pricing not published

labelyourdata.com/products/data-annotation-platform

Market segments

Market size by segment

Growth potential (CAGR)

Computer vision and 3D perception annotation

4 Billion USD25% CAGR

Annotation services and workflows for image, video, LiDAR and radar data including bounding boxes, polygons, keypoints, instance/semantic/panoptic segmentation, cuboids and pixel-level labeling for perception model training.

Products: Data Annotation Platform

Natural language and speech annotation

1.1 Billion USD15% CAGR

Text and audio labeling including text classification, named entity recognition, sentiment and topic labeling, audio transcription, speaker diarization and audio-to-text alignment for NLP and speech model development.

Products: Data Annotation Platform

Content moderation

12 Billion USD11.5% CAGR

Human and AI-assisted moderation of user-generated content across comments, images, video, live streams, and ecommerce to enforce policies and prevent fraud.

Products: Data Annotation Platform

Geospatial and OCR annotation

1 Billion USD15% CAGR

Geospatial labeling and mapping annotations plus OCR-ready text annotation for document understanding, mapping, and location-based AI applications.

Products: Data Annotation Platform

Labeling operations management

2.83 Billion USD23% CAGR

Program-level services for pilot-to-production planning, cost estimation, scalable 24/7 annotation teams, custom QA and model validation, and security/compliance (ISO 27001, PCI DSS, GDPR/CCPA/HIPAA as applicable).

Products: Data Annotation Platform

More information about our offering

Data Annotation Platform

A self-serve platform to manage data annotation workflows across multiple data modalities, enabling organizations to run labeling pipelines, track progress, and integrate quality assurance into model development.

Pricing not published

  • Streamline Annotation Workflows
    Efficiently handle various types of data annotations, helping teams adapt to diverse project needs seamlessly.
  • Diverse Annotation Types
    Leverage various annotation types tailored to your specific computer vision needs, ensuring accuracy and versatility.
  • Label Across Modalities
    Seamlessly annotate diverse data formats, enhancing model training and application across multiple domains.
  • Ensure High-Quality Annotations
    Delivers detailed and accurate data crucial for training robust machine learning models.
  • Certified Data Security
    Rest assured with our rigorous security measures and compliance with major data protection regulations to safeguard your information.
  • Optimizes Data Interpretation
    Empower your models to recognize and classify important entities within your text data, ensuring better understanding and processing capabilities.
  • Improve Model Recognition
    Enhancing recognition systems for speech and sound with accurate transcripts boosts model performance.
  • Facilitate Text Analysis
    Facilitates research and accessibility by transforming audio recordings into searchable and editable text formats.
  • Ensure User Safety
    Protect users from harmful or inappropriate content, ensuring compliance with platform policies and enhancing community trust.
  • No-Cost Testing
    Utilize a free pilot project to evaluate the platform's capabilities and ensure it meets your needs without financial commitment.
  • Ensure High-Quality Output
    Integrate rigorous quality checks and model validation steps in your workflow to maintain annotation accuracy and model performance.
  • Adaptable to Project Needs
    Choose the right annotation types for your specific projects, ensuring the data meets your operational requirements.
  • Scale Capacity 24/7
    Utilize dedicated teams available around the clock to meet varying project demands swiftly.
  • Extensive NLP Services
    Receive comprehensive NLP and audio annotation services to improve your textual and auditory data sets.
  • Enhances Insight Extraction
    Gain valuable insights from user feedback and social media by accurately tagging sentiment and topics, empowering informed decision-making.
  • Distinguish Speakers
    Effective speaker identification enhances clarity in audio datasets for applications like meetings and legal settings.
  • Ensure Annotation Quality
    Ongoing quality assurance for consistent and high-accuracy datasets aligns with specific project needs.
  • Detect Offensive Language
    Prevent the spread of harmful narratives by monitoring and eliminating inappropriate text contributions.
  • Provide Real-time Safety Measures
    Respond instantly to potentially harmful content during livestreams, enhancing user security.
  • Estimate Costs Effectively
    Receive accurate cost estimations to plan and budget your annotation projects effectively, ensuring financial clarity.
  • Empower Team Autonomy
    Grant teams the control they need to manage their annotation tasks, ensuring efficient progress tracking and project updates.
  • Facilitates 3D Object Recognition
    Helps in projects requiring advanced understanding of 3D environments and object interactions.
  • Facilitates Document Processing
    Utilize our OCR capabilities to accurately extract text from scanned documents and handwritten notes, improving data usability for machine learning models.
  • Classify Environmental Sounds
    Accurate classification of sounds for applications in security systems and wildlife monitoring improves operational accuracy.
  • Remove Harmful Visuals
    Sustain a safe platform environment by filtering out images that breach community standards.
  • Maintain Video Compliance
    Ensure all video content aligns with legal and community standards to foster user trust.
  • Eliminate Fake Profiles
    Build a trusted community by monitoring user profiles and preventing impersonation.
  • Connect with Existing Systems
    Facilitate easy integration with other software tools to enhance workflow efficiency and data management.
  • Accelerate Your Project Timelines
    Supports faster model development cycles with timely annotations.
  • Expands Global Reach
    Our extensive multilingual capabilities allow you to access and process data across diverse languages, enhancing your project's adaptability.
  • Detect Emotions
    Transform audio data into actionable insights through effective emotion detection in customer interactions.
  • Detect Unsafe Audio
    Improve user experience by monitoring audio content for compliance with guidelines.

Sources

Methodology and sourcing behind the figures and links shown above.

Computer vision and 3D perception annotation

Estimate based on multiple industry reports: broad AI/computer-vision markets (USD 16–35B range in mid-2020s) and smaller 3D machine-vision market (~USD 4.25B in 2025). Annotations/tools are a distinct but growing slice of the CV value chain (tools market projected ~USD 13.6B by 2034). Combining those anchors and industry CAGRs for AI/Computer Vision (≈29–33%) and machine/3D vision (≈11–13%), I estimate current annotation services for image/video/LiDAR/radar at roughly USD 4B with high growth potential (~25% CAGR) consistent with AI-driven computer-vision adoption.

Natural language and speech annotation

Estimated from the global AI data annotation market (USD 3.06B in 2025) and broader NLP market growth. Text+audio (natural language and speech) annotation likely represents ~35–40% of overall annotation revenue today, yielding ~USD 1.1B. Growth potential (CAGR ~15%) is positioned above the annotation-market baseline (12.6%) but below/around broader NLP software CAGRs (≈18–20%) due to rising LLM demand for labeled text/audio.

Content moderation

Estimates derived from two recent market reports in the provided results. Fact.MR reports a 2024 market size of US$11.9 billion with a 10% CAGR to 2034. ResearchNester reports US$12.48 billion in 2025 (US$13.94 billion in 2026) with a 13% CAGR (2026–2035). Combining these proximate size datapoints yields a current market size ≈ US$12 billion and a blended growth potential midpoint of ~11.5% CAGR, reflecting consensus range (10–13%) driven by rising user-generated content, regulation, and AI adoption.

Geospatial and OCR annotation

Search results provided contained no explicit market-size or CAGR data for geospatial/OCR annotation. Estimate derived from internal industry knowledge: the broader data-annotation market and adjacent markets (geospatial analytics, mapping services, and OCR/document-understanding) are multi‑billion-dollar markets; geospatial and OCR-specific labeling is a niche subset (roughly 5–20% of total annotation demand). Assuming a multi‑billion total annotation market and taking a mid‑range share yields an estimated market size of about $1.0B. Growth drivers include expanded use of location-based AI, satellite/aerial imagery labeling, autonomous systems, mapping updates, and enterprise document automation; these drivers support a high-growth profile consistent with adjacent markets, so a projected CAGR of ~15% is used (range implied 12–18%). No explicit supporting numbers were found in the provided search results, so estimates are based on sector hierarchies and comparable market dynamics.

Labeling operations management

Primary estimate draws on published AI data-labeling market figures in the search results: PrecedenceResearch reports the AI data labeling market at USD 2.83 billion in 2026 with a 23% CAGR (2026–2035). This market maps closely to "labeling operations management" (managed annotation, scalable teams, QA, compliance). For context, adjacent markets in the results include labeling software (USD 0.554 billion in 2024; 5.8% CAGR) and physical integrated labeling systems (USD 2.6 billion in 2024; 7.9% CAGR), which indicate differing scopes (software/hardware vs. managed data-labeling services).

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