Shaip
Shaip is an AI training data platform that collects, annotates, licenses, and evaluates multimodal data (text, audio, image, video) for AI/ML development, with a healthcare and multilingual focus across 65+ languages. It serves enterprise clients including Google, Oracle, Microsoft, and Amazon, and now operates as 'Shaip, by Ubiquity' following its February 2026 acquisition.
- Company typePrivate
- Founded2018
- HeadquartersLouisville, United States
- Headcount501–1,000
- GTM typeB2B
- OfferingServices
What Shaip does
Shaip is an end-to-end AI training data platform company that collects, annotates, licenses, and evaluates multimodal data for AI and machine learning model development. Founded in 2018 and headquartered in the United States (legal entity Healthly.AI Data, LLC, with a delivery R&D base in Ahmedabad, India as Shaip.AI Data (India) LLP), the company operates a globally distributed delivery model spanning 9+ sites across North America, Central America, South America, Europe, Africa, and South/Southeast Asia, with 501-1,000 employees. In February 2026, Shaip was acquired by Ubiquity Global Services and now operates as 'Shaip, by Ubiquity.' Its core technology is ShaipCloud, a proprietary platform composed of three modules: Shaip Manage (project management and vendor coordination), Shaip Work (workforce engagement and mobile data collection), and Shaip Intelligence (automated AI-based data validation, including duplicate, noise, and quality detection).
Shaip's commercial offering bundles platform-enabled services with off-the-shelf licensable data catalogs across audio, text, image, video, and structured modalities, covering 65+ languages and verticals including Healthcare AI, Conversational AI, Computer Vision, Generative AI, and Physical AI / Robotics. Differentiated data assets include 30M unstructured patient notes, 250k+ hours of physician dictation, and 70,000+ hours of speech data, supported by HIPAA, GDPR, SOC 2 Type II, ISO 27001, and ISO 9001:2015 certifications. Named customers include Google, Oracle, Microsoft, Amazon, Nabla, and IIT Madras.
Shaip generates revenue primarily through custom professional services engagements (data collection, annotation, generative AI fine-tuning, RLHF, RAG) and licensing of pre-curated datasets, with multi-year enterprise contracts and quote-based pricing. Go-to-market is enterprise direct sales targeting Fortune 500 clients, augmented by partnerships with AWS, Google Cloud Platform, Databricks Marketplace, and academic institutions such as IIT Madras. The GTM motion relies on demonstrating domain expertise in healthcare and linguistics, validated case studies, and embedded hyperscaler relationships.
Shaip firmographics
Firmographics- Name
- Shaip
- Legal name
- Healthly.AI Data, LLC
- Website
- https://shaip.com
- Company type
- Private
- Founded year
- 2018
- Operating status
- Acquired
- Headcount range
- 501–1,000 employees
- Short description
- Shaip is an AI training data platform that collects, annotates, licenses, and evaluates multimodal data (text, audio, image, video) for AI/ML development, with a healthcare and multilingual focus across 65+ languages. It serves enterprise clients including Google, Oracle, Microsoft, and Amazon, and now operates as 'Shaip, by Ubiquity' following its February 2026 acquisition.
- Ownership category
- akta.pro rank
Shaip industry classification
Industry- Product category
- AI Training Data Services
- NAICS
- Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Privacy-Preserving Data (De-identification, Anonymization, PII Redaction) (HDAAALAG)
Keywords
Where Shaip is headquartered
LocationHeadquarters
- HQ city
- Louisville
- HQ country
- United States
- HQ region
- North America
Offices10 records
Markets served
Shaip business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Operations, Technology or R&D, Marketing or Sales, Infrastructure
Revenue model
- AI Data Services - Custom Collection: Custom data collection services where Shaip sources and curates datasets from over 60 countries worldwide in various formats (audio, video, images, text) for specific client AI projects.
- Data Annotation & Labeling: Domain expert annotation and labeling services including image segmentation, object detection, NER, sentiment analysis, and other NLP annotation tasks.
- Data Licensing - Off-the-shelf Catalog: Licensing of pre-collected datasets including medical datasets (30M unstructured patient notes, 250k audio hours), speech datasets (70,000+ hours, 65+ languages), and computer vision datasets.
- Generative AI Services: Expert evaluation services integrating human intelligence into Gen AI model fine-tuning using RLHF and domain experts for behavioral optimization. Includes RAG, fine-tuning, and multimodal AI solutions.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Enterprise custom engagement - pricing varies by project scope |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels7 records
Shaip product offering
Product offeringCore offering
Shaip provides end-to-end AI training data services through its proprietary ShaipCloud AI Data Platform, including custom data collection across 60+ countries, domain-expert annotation and labeling, and licensing of off-the-shelf datasets in medical, speech, and computer vision categories. The company specializes in healthcare AI, conversational AI, computer vision, physical AI, and generative AI data preparation, serving enterprise clients with HIPAA, GDPR, SOC 2 Type II, ISO 27001, and ISO 9001:2015 compliant workflows.
Product overview
Shaip is an AI data platform company offering a unified platform-plus-services architecture centered on the proprietary ShaipCloud AI Data Platform. The platform comprises three integrated components—Shaip Manage (project management), Shaip Work (global workforce engagement), and Shaip Intelligence (automated quality validation)—supported by core data services for collection, annotation, and licensing. Specialty verticals include Healthcare AI, Conversational AI, Computer Vision, Generative AI, and Physical AI, each offering domain-specific data solutions. Sub-products include TTS Data Services, LLM Fine-Tuning, RLHF, Multimodal AI, RAG Solutions, and AI Prompt/Response Generation. An Off-the-Shelf Data Catalog provides pre-curated medical, speech, and computer vision datasets for immediate licensing.
Differentiator
Problem solved
Functional benefit
Products and services
- Data Collection Services
- Data Annotation & Labeling
- Off-the-Shelf Data Catalog & Licensing
- Healthcare AI Solutions
- Conversational AI Solutions
- Computer Vision Solutions
- Generative AI Solutions
- Physical AI Solutions
- Text-to-Speech (TTS) Data Services
- ShaipCloud AI Data Platform
Quantifiable outcome
- 90%+ accuracy achieved in quality benchmarks for client projects
- +3 more outcomes
Companies that use Shaip
Customer profileNamed customers8 records
Segments5 records
Ideal customer profiles4 records
Shaip technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration1 record
AI capability11 records
Feature6 records
Shaip partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core.
- ProtegecoreIn March 2025, Shaip partnered with Protege to enhance access to curated medical datasets for developing compliant healthcare AI models. This partnership supports the healthcare data annotation tools market projected to reach $1.09 billion by 2030.
- AWS (Amazon Web Services)coreAWS is described as a provider of one of the most flexible and secure cloud computing environments. Shaip uses Amazon EC2 and Amazon RDS for application databases. AWS enables Shaip customers to deploy applications and data quickly and securely.
- Google Cloud PlatformcoreShaip is a Google Cloud Platform Sub-processor for Data Labeling Services. De-identification requirements for startups are handled through this trusted partner.
- IIT Madras (Indian Institute of Technology Madras)coreCollaborative partnership for research projects in the specialized field of health informatics. Shaip's research lab is set up in Health Informatics dedicated to developing products for healthcare and contributing to research with significant medical outcomes. Shaip helped IIT Madras collect, segment, and transcribe 3000 hours of audio data in 8 Indian languages for Bhashini Project.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Shaip competitors and assessment
Company assessmentDirect peers
- Scale AI: Largest AI training data platform offering data annotation, evaluation, and RLHF services across generative AI, autonomous vehicles, and government. Directly comparable business model and customer set to Shaip, with greater scale and funding.
- Sama: Provider of data annotation and AI model validation services with a focus on ethical employment and computer vision. Comparable in combining platform tooling with a managed workforce, and a competitor in the same verticals.
- iMerit: AI data solutions company offering annotation and labeling across healthcare, autonomous mobility, and finance, with delivery centers in India and Bhutan. Directly comparable workforce-driven, vertical-specialized model.
- Surge AI: Specialized data labeling platform focused on frontier AI / LLM training, including RLHF and human preference data. Direct competitor for the GenAI fine-tuning and RLHF revenue Shaip targets.
- CloudFactory: AI data services provider combining managed workforces with a data labeling platform; serves computer vision and NLP use cases. Closely comparable services-plus-platform model and global delivery footprint (Nepal, Kenya).
- Appen: Global provider of training data for machine learning and AI, offering data collection, annotation, and licensing across 80+ languages. Direct competitor in speech, text, and image annotation with overlapping Fortune 500 customer base.
- Labelbox: Data-centric AI platform for image, video, text, and geospatial annotation, often paired with managed labeling services. Directly comparable on platform layer; Shaip's service-heavy model is complementary rather than identical.
Broad incumbents
- TELUS International (data annotation): Large digital CX and AI data solutions provider, offering annotation, data collection, and content moderation as part of a much broader BPO portfolio. Overlaps with Shaip's service offerings but at much larger scale and without the same AI-specialized branding.
Emerging players
- Snorkel AI: Programmatic data labeling and weak-supervision platform that competes with traditional human-annotation heavy approaches. Represents a structurally adjacent threat to Shaip's services model.
- Datasaur: NLP-focused data labeling platform with custom workflows and LLM-assisted labeling. Overlaps with Shaip's text/NLP annotation capabilities, particularly for generative AI fine-tuning.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Shaip social profiles
Digital presenceShaip compliance and trust
Trust signalCompliance5 records
Shaip financial estimates
Financial estimateRevenue estimate
Valuation estimate
Shaip leadership team
Management profileNumber of profiles
Profiles2 records
Shaip funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Shaip M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Shaip
What does Shaip do?
Shaip provides end-to-end AI training data services through its proprietary ShaipCloud AI Data Platform, including custom data collection across 60+ countries, domain-expert annotation and labeling, and licensing of off-the-shelf datasets in medical, speech, and computer vision categories. The company specializes in healthcare AI, conversational AI, computer vision, physical AI, and generative AI data preparation, serving enterprise clients with HIPAA, GDPR, SOC 2 Type II, ISO 27001, and ISO 9001:2015 compliant workflows.
Is Shaip a public or private company?
Shaip is a private company. It is classified as corporate owned and is currently acquired.
When was Shaip founded?
Shaip was founded in 2018. It employs 501 to 1,000 people.
Where is Shaip based?
Shaip is headquartered in Louisville, United States, in the North America region.
How does Shaip make money?
Four revenue lines are on record. AI Data Services - Custom Collection is the primary driver. The others are data Annotation & Labeling, data Licensing - Off-the-shelf Catalog and generative AI Services.
Who are Shaip's main competitors?
Direct peers on record are Scale AI, Sama, iMerit, Surge AI, CloudFactory, Appen and Labelbox. TELUS International (data annotation) is listed as a broad incumbent. Emerging players are Snorkel AI and Datasaur.
Does Shaip have an API?
No public API is recorded for Shaip.
What industry is Shaip in?
Shaip's product category is AI Training Data Services. Its primary akta.pro industry code is HDAAALAG, Privacy-Preserving Data (De-identification, Anonymization, PII Redaction). Its NAICS code is 541511 and its SIC code is 7370.