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Shaip

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Data Providerswww.shaip.comUpdated

Shaip provides AI training data and related data solutions for enterprise AI development.

Overview

Shaip is a data solutions company that provides AI training data for enterprise AI initiatives. The company offers data collection, annotation and labeling services, and data catalogs and licensing to deliver curated data across multiple modalities. Its specialties include Physical AI (robotics/autonomy data), Conversational AI, Computer Vision, Healthcare AI, and Generative AI. Shaip serves diverse industries and emphasizes end-to-end data capabilities—from raw data gathering to structured, ready-to-use training data and managed licensing.

Mission statement

To empower organizations to build reliable AI by delivering high-quality training data through collection, annotation, cataloging, and licensing across modalities.

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What we offer

AI Training Data

Service

Deliver Comprehensive AI Training Data for Enhanced Model Performance.

Pricing not published

www.shaip.com/training-data/

Market segments

Market size by segment

Growth potential (CAGR)

Computer vision training data

3.5 Billion USD22% CAGR

Collecting and annotating image and video datasets (bounding boxes, segmentation, keypoints) for development and validation of visual perception models across industries such as automotive, retail, and manufacturing

Products: AI Training Data

Conversational AI training data

1.2 Billion USD24% CAGR

Audio and text data collection, transcription, intent/entity labeling and dialogue annotation to train chatbots, virtual assistants, and speech recognition systems

Products: AI Training Data

Real-world evidence and clinical data repositories

1.5 Billion USD15% CAGR

De-identified, integrated inpatient and outpatient datasets enabling researchers and clinicians to generate real-world insights, support multicenter studies, and inform care pathways.

Products: AI Training Data

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: AI Training Data

Ready-to-use datasets for AI and analytics

1 Billion USD24% CAGR

Curated, subscription-accessible datasets across domains (ecommerce, social, LinkedIn, real estate) for AI model training, knowledge base creation, and analytics workflows.

Products: AI Training Data

More information about our offering

AI Training Data

Shaip's AI training data service bundle including data collection across audio, images, text, and video, followed by data annotation and labeling, plus access to curated data catalogs and licensing to deliver ready-to-use training data for enterprise AI initiatives.

Pricing not published

  • Enhances Model Understanding
    Through precise annotation and labeling, our service substantially boosts your AI/ML models’ ability to interpret and process data effectively.
  • Provides Ready-to-Use Datasets
    Utilizing our extensive data catalogs and licensing options simplifies the acquisition of datasets, streamlining your training and deployment processes.
  • Gathers Diverse Data Types
    We provide comprehensive data collection across various formats, ensuring your AI models learn from diverse and rich datasets.
  • Improves AI Model Performance
    Our multimodal datasets enhance your AI’s learning capabilities by integrating various data types, resulting in more accurate and versatile models.

Sources

Methodology and sourcing behind the figures and links shown above.

Computer vision training data

Multiple industry reports place the overall computer vision/AI vision market in the USD 17–35B range (2023–2026) with CAGRs commonly reported between ~15% and ~32%. PrecedenceResearch explicitly notes the training function held the largest share, indicating training-related spend (including dataset collection/annotation) is a meaningful subsegment. Using MarketsandMarkets' 2025 market sizing (USD 23.4B) as a baseline and allocating a conservative 15% share to training-data/annotation services yields an estimated market size of ~USD 3.5B. Growth potential is estimated near the broader market CAGR (MarketsandMarkets 22.1%), reflecting strong demand for labeled visual data and annotation services as model training expands.

Conversational AI training data

Estimation based on multiple AI training-dataset market reports (2024–2026 range $2.8–3.6B). Using Fortune/BusinessResearchCompany reported total market sizes and modality shares (text ~27%) and attributing audio+text (conversational AI training) roughly 35–37% of the total yields ~USD 1.2B. Growth potential (CAGR ~24%) taken from the cited dataset-market CAGRs (21.6–27.7%) and documented conversational-AI market CAGR (~23.7%), so conversational training-data should grow in line with or slightly above the overall dataset market.

Real-world evidence and clinical data repositories

Multiple market reports place the broader RWE/RWD solutions market between ~$2.3B and $6.2B (mid-2020s) with CAGRs ~14–16%. Clinical data repositories/dataset products are a subset of RWE/RWD (commonly 20–30% of total spend). Using those report ranges and documented dataset segment growth, I estimate the addressable market for de-identified integrated inpatient/outpatient datasets at roughly $1.5B today with ~15% CAGR.

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.

Ready-to-use datasets for AI and analytics

Estimates are based on AI training-dataset market reports in the search results. Fortune Business Insights reports a global AI training-dataset market of USD 3.59B (2025) with ~22.9% CAGR; Credence reports the U.S. segment at USD 627.8M (2023) with 24.8% CAGR; BCCResearch forecasts global growth from $1.8B (2022) to $6.9B (2028) at 25.4% CAGR. Ready-to-use, subscription-accessible curated datasets are a subset of the overall AI training-dataset market; assuming a conservative 25–30% share of the addressable training-dataset market yields an estimated global market ~USD 1.0B and growth potential similar to the parent market (~24% CAGR).

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