AIML Data
AIML Data is a New York-based data services company, founded in 2018, operating a Data Centric AI & Labelling Platform that provides AI-driven data labeling, aggregation, and enrichment services primarily to AI/ML organizations and secondarily to recruitment/HR teams.
- Company typePrivate
- Founded2018
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What AIML Data does
AIML Data is a New York-based data services and AI data labeling company founded in 2018. The company operates a unified Data Centric AI & Labelling Platform that combines data labeling, aggregation, and analysis capabilities with AI-driven models to support machine learning model development and data-driven decision making. Its core value proposition centers on a "data-centric AI" approach — emphasizing the quality, integrity, and enrichment of training data rather than model architectures alone — targeting the data labeling bottleneck and poor-quality training data that limit AI model performance.
The platform serves two identifiable customer segments. The primary segment is AI/ML organizations that require high-quality labeled training data for model development. A secondary segment is recruitment and HR teams using AI to optimize hiring processes, as evidenced by dedicated user-story content. Distribution relies on a content-led top-of-funnel motion via the company's blog; pricing models, API/SDK availability, and named customer logos are not publicly disclosed.
Headcount sits in the 101–250 employee range, and the company remains private with no disclosed funding history, revenue figures, ownership structure, management team, or strategic transactions (acquisitions, partnerships, investments) in the available source material. The data services and labeling space is highly competitive, with limited evidence of proprietary model IP, published research, patents, or third-party benchmarks that would differentiate AIML Data from larger, better-capitalized incumbents such as Scale AI, Labelbox, Appen, and Telus International.
AIML Data firmographics
Firmographics- Name
- AIML Data
- Website
- https://aimldata.com
- Company type
- Private
- Founded year
- 2018
- Headcount range
- 11–50 employees
- Short description
- AIML Data is a New York-based data services company, founded in 2018, operating a Data Centric AI & Labelling Platform that provides AI-driven data labeling, aggregation, and enrichment services primarily to AI/ML organizations and secondarily to recruitment/HR teams.
- Ownership category
- akta.pro rank
AIML Data industry classification
Industry- Product category
- AI Data Labeling Platform
- NAICS
- Computer Systems Design and Related Services (54151), Other Computer Related Services (541519), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Processing & Data Preparation (7374), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Labeling & Annotation Services (HDAAALAB)
- akta.pro secondary industries
- Data Augmentation & Programmatic Labeling (HDAAALAH), Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial) (HDAAALAL)
Keywords
Where AIML Data is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Markets served
AIML Data business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Operations
Marketing channels1 record
AIML Data product offering
Product offeringCore offering
AIML Data provides a unified Data Centric AI & Labelling Platform that combines data labelling, aggregation, and analysis capabilities with AI-driven models to support machine learning model development and training. The platform focuses on training data integrity, enrichment, and value addition to enable data-driven decision making across enterprise use cases including recruitment process automation.
Product overview
AIML Data offers a single, unified Data Centric AI & Labelling Platform that combines data labelling, aggregation, and analysis capabilities with AI-driven models to enable data-driven decision making. The platform serves enterprise needs across various use cases including recruitment process automation.
Differentiator
Problem solved
Functional benefit
Products and services
- Data Centric AI & Labelling Platform A unified platform that combines data-centric AI methodologies with data labelling capabilities to support machine learning model development and training. It bundles AI-driven data labelling, data aggregation, and analysis capabilities to enable data-driven decision making across enterprise use cases including recruitment process automation.
Companies that use AIML Data
Customer profileSegments2 records
Ideal customer profiles2 records
AIML Data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AIML Data partnerships and signals
Strategic signalRecent moves3 records
Expansion highlights2 records
AIML Data competitors and assessment
Company assessmentDirect peers
- Scale AI: Scale AI is the leading AI-focused data labeling and annotation platform serving ML teams with data curation, labeling, and evaluation. It directly competes with AIML Data in AI/ML training data services.
- Labelbox: Labelbox provides a data-centric AI platform for labeling, evaluation, and dataset management. It competes head-to-head with AIML Data on unified labeling + analytics offerings for ML teams.
- Appen: Appen is a global data annotation company offering training data for AI/ML across text, image, audio, and video. It competes directly with AIML Data on enterprise data labeling services.
- Surge AI: Surge AI is a data labeling platform focused on high-quality human-labeled datasets for frontier AI models, particularly NLP. It is a direct peer in human-in-the-loop AI data services.
- CloudFactory: CloudFactory provides managed teams for data annotation, labeling, and processing to support AI/ML workflows. It is a direct competitor in AI data labeling services.
- SuperAnnotate: SuperAnnotate offers an end-to-end data annotation and management platform for ML teams, with model-assisted labeling. It competes directly with AIML Data's platform offering.
- Toloka AI: Toloka AI provides a crowdsourced data labeling platform for AI/ML, supporting annotation across modalities. It is a direct peer in human-in-the-loop AI training data.
- iMerit: iMerit provides specialized data annotation, enrichment, and labeling services for AI/ML in domains like healthcare, finance, and autonomous systems. It is a direct peer in domain-specific AI data labeling.
Broad incumbents
- Amazon SageMaker Ground Truth: SageMaker Ground Truth is AWS's managed data labeling service for ML training datasets. As a cloud-major offering, it competes as a broad incumbent that bundles labeling into a wider AI/ML platform.
- TELUS International (formerly Lionbridge AI): TELUS International's AI Data Solutions division offers large-scale data annotation, collection, and validation services. It is a broad incumbent competing with AIML Data on enterprise AI data services.
Market position
Strengths4 records
Weaknesses5 records
Competitive moat2 records
Key highlights5 records
Customer concentration
AIML Data social profiles
Digital presenceAIML Data financial estimates
Financial estimateRevenue estimate
Valuation estimate
AIML Data leadership team
Management profileNumber of profiles
AIML Data funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
AIML Data 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 AIML Data
What does AIML Data do?
AIML Data provides a unified Data Centric AI & Labelling Platform that combines data labelling, aggregation, and analysis capabilities with AI-driven models to support machine learning model development and training. The platform focuses on training data integrity, enrichment, and value addition to enable data-driven decision making across enterprise use cases including recruitment process automation.
When was AIML Data founded?
AIML Data was founded in 2018. It employs 11 to 50 people.
Where is AIML Data based?
AIML Data is headquartered in New York, United States, in the North America region.
Who are AIML Data's main competitors?
Direct peers on record are Scale AI, Labelbox, Appen, Surge AI, CloudFactory, SuperAnnotate, Toloka AI and iMerit. Broad incumbents are Amazon SageMaker Ground Truth and TELUS International (formerly Lionbridge AI).
Does AIML Data have an API?
No public API is recorded for AIML Data.
What industry is AIML Data in?
AIML Data's product category is AI Data Labeling Platform. Its primary akta.pro industry code is HDAAALAB, Data Labeling & Annotation Services, with a secondary code of HDAAALAH, Data Augmentation & Programmatic Labeling. Its NAICS code is 54151 and its SIC code is 7374.