Snorkel AI
Snorkel AI is a frontier AI data lab that builds expert-curated training datasets, rubric-based evaluation systems, and runnable RL environments for frontier AI labs and large regulated enterprises, sold via DaaS subscriptions, benchmark products, and custom agent engagements.
- Company typePrivate
- Founded2019
- HeadquartersSan Francisco, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
What Snorkel AI does
Snorkel AI is a privately held frontier AI data lab founded in 2019 out of Stanford AI Lab and headquartered in Palo Alto, California. The company builds expert-curated training datasets, benchmark-grade evaluation systems, and runnable RL environments for frontier AI labs and large enterprises, with a methodology rooted in programmatic data labeling, calibrated expert signal, rubric-based verification, and multi-layer quality pipelines. Its product surface centers on Snorkel Flow (the underlying AI Data Development Platform), complemented by Snorkel Evaluate for model evaluation and Snorkel Expert Data-as-a-Service, a two-sided platform that pays domain experts to contribute to AI projects. The Snorkel Data Series delivers curriculum-structured datasets (GDPval+, SWE-Bench+, CUA-Bench+, Enterprise Agentic Environments) refreshed quarterly, alongside benchmark assets such as Terminal-Bench 2.0, SlopCodeBench, Agents' Last Exam, Continual Learning Bench, and BigLaw Bench. Custom specialized-agent engagements and the open-source Harbor framework round out the offering.
The company monetizes primarily through subscription-style Data-as-a-Service and benchmark/evaluation programs, supplemented by professional services for custom agent development and enterprise AI deployments. Distribution combines direct enterprise sales (with discovery phases, pilots, and staged rollouts), AWS Marketplace and Microsoft Azure integrations, and Accenture co-sell motion for financial services. Snorkel's customer roster spans frontier AI labs (Google, Microsoft, OpenAI, Anthropic), financial institutions (BNY, an unnamed global bank), legal technology (Harvey), and large enterprises (Apple, Intel, Stanford Medicine), with 30 or more Fortune 500 attendees reported at the inaugural SnorkelCon in 2024.
Financially, Snorkel reported $148 million in ARR for 2025, up from $36.8 million in 2024, and closed a $100 million Series D in May 2025 at a $1.3 billion post-money valuation led by Addition. The company is venture-backed (Addition, BlackRock, Greylock, Lightspeed, Google Ventures, Accel, IQT, Accenture Ventures), holds SOC 2 Type 2 and HIPAA compliance, and after a 13% workforce reduction in September 2025 has re-centered around its Data-as-a-Service and specialized-agent businesses.
Snorkel AI firmographics
Firmographics- Name
- Snorkel AI
- Legal name
- Snorkel AI, Inc.
- Website
- https://snorkel.ai
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 251–500 employees
- Short description
- Snorkel AI is a frontier AI data lab that builds expert-curated training datasets, rubric-based evaluation systems, and runnable RL environments for frontier AI labs and large regulated enterprises, sold via DaaS subscriptions, benchmark products, and custom agent engagements.
- Ownership category
- akta.pro rank
Snorkel AI industry classification
Industry- Product category
- AI Data Development Platform
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Computer Processing & Data Preparation (7374), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial) (HDAAALAL)
Keywords
Where Snorkel AI is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
Snorkel AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Data-as-a-Service (DaaS): Expert-curated data development services delivered as ongoing programs. Includes ready-to-use Snorkel Data Series products and custom dataset development engagements. Revenue generated through project-based and recurring program contracts with enterprise clients.
- Benchmark and Evaluation Products: Sale of benchmark-grade datasets and environments from the Snorkel Data Series catalog. Programs include Terminal-Bench+, SWE-Bench+, Enterprise Agentic Environments, CUA-Bench+, and GDPval+ products refreshed quarterly.
- Custom Agent Development: End-to-end custom AI agent development services for specialized enterprise workflows. Covers scoping, development, deployment, and continuous iteration engagements.
- Snorkel Evaluate: Enterprise evaluation platform product for measuring and tuning specialized AI models. New product launched in 2025 as part of expanded platform offering.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Multi-year contract | Enterprise custom engagements |
| Other | Pay-as-you-go | Expert Data-as-a-Service |
Go-to-market motion3 records
Distribution channels3 records
Marketing channels8 records
Snorkel AI product offering
Product offeringCore offering
Snorkel AI is a frontier AI data lab that develops specialized training data, evaluation systems, and runnable environments for frontier AI models and agents. Its core product is the Snorkel Flow AI Data Development Platform, supported by Snorkel Evaluate for model evaluation, Snorkel Expert Data-as-a-Service for expert-curated data programs, the Snorkel Data Series of curriculum-structured datasets and benchmarks, and Specialized Agents built for enterprise workflows.
Product overview
Snorkel AI is a frontier AI data lab offering a comprehensive data development platform and suite of specialized products. The core offering is Snorkel Flow (AI Data Development Platform), supplemented by Snorkel Evaluate for model evaluation and Snorkel Expert Data-as-a-Service for expert-curated data. The Snorkel Data Series provides curriculum-structured datasets and benchmarks including Terminal-Bench 2.0, SlopCodeBench, BigLaw Bench, SWE-Bench+, CUA-Bench+, GDPval+, and Enterprise Agentic Environments. Specialized Agents deliver custom AI solutions for enterprise workflows. All offerings are grounded in calibrated expert signal, rubric-based verification, and a data-centric development approach that enables measurable iteration and expert-trusted AI systems.
Differentiator
Problem solved
Functional benefit
Brands
- Snorkel Evaluate: Product for evaluating and tuning specialized AI models more efficiently.
- Snorkel Expert Data-as-a-Service
- Snorkel Flow
- Snorkel Develop
Products and services
- Snorkel Flow
Quantifiable outcome
- Improved legal contract extraction agent from 25% to 95% expert acceptance rate through realigned evaluation criteria and training data
- +2 more outcomes
Companies that use Snorkel AI
Customer profileNamed customers10 records
Segments4 records
Ideal customer profiles4 records
Snorkel AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability12 records
Feature5 records
Snorkel AI partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered core, major and minor.
- AnthropiccoreActive collaboration on Claude Code AI coding tool improvement project called 'Marlin', using feedback from approximately 1,000 contractors with software engineering backgrounds.
- HarveymajorCollaboration on BigLaw Bench research benchmark for legal AI evaluation. Snorkel AI contributed expertise in data development and evaluation methodology.
- Amazon Web Services (AWS)coreJoined AWS ISV Accelerate Program and launched Snorkel Flow availability in AWS Marketplace, enabling broader enterprise distribution through AWS customer base.
- MicrosoftcoreStrategic partnership to unlock enterprise AI potential. Snorkel AI is integrated with Azure and part of Microsoft for Startups Pegasus Program. Collaboration on enterprise AI solutions.
- BNYcoreAgreement to accelerate development of AI models for banking operations. Collaboration focused on enabling BNY to develop and deploy predictive AI models.
- Accenture VenturesmajorProject Spotlight accelerator program providing access to Accenture's industry expertise and enterprise client network for growth-stage software companies.
- Scale AIminorMentioned as competing platform in AI training data market alongside Snorkel AI, offering up to $110 per hour for specialized AI training work.
Scale indicators8 records
Recent moves8 records
Expansion highlights7 records
Snorkel AI competitors and assessment
Company assessmentDirect peers
- Labelbox: Labelbox provides a data-centric AI platform for training data creation, labeling, and evaluation, sold to ML teams at enterprises. It competes directly with Snorkel Flow as a programmatic labeling and curation platform.
- Scale AI: Scale AI is the leading AI data labeling and evaluation platform, serving frontier labs and enterprises with annotated training data and RLHF services. It directly competes with Snorkel across data labeling, evaluation, and expert-data offerings and is explicitly named as a competitor in Snorkel's market.
- Surge AI: Surge AI is a data labeling platform purpose-built for frontier AI teams, focusing on expert-labeled datasets and evaluation. It targets the same frontier-lab and enterprise customers with a similar expert-driven labeling model.
- Sama: Sama delivers AI data annotation and model validation services with a focus on high-quality, human-labeled data for ML teams. It overlaps with Snorkel's expert-curated data development and evaluation services for enterprise AI deployments.
- SuperAnnotate: SuperAnnotate offers an end-to-end data annotation and management platform for ML teams building computer vision and LLM applications. It competes with Snorkel Flow on tooling for programmatic labeling and dataset management.
Broad incumbents
- Appen: Appen is an established public data annotation vendor supplying labeled datasets for AI/ML at global scale. While less specialized in frontier model evaluation, it competes for enterprise AI training data budgets and large-scale labeling contracts.
- TELUS International (Lionbridge AI): TELUS International AI (formerly Lionbridge AI) provides large-scale multilingual data annotation and AI data services to enterprise customers. It overlaps with Snorkel's enterprise DaaS offerings but with a broader, less frontier-model-focused portfolio.
- Amazon SageMaker Ground Truth: SageMaker Ground Truth is AWS's managed data labeling service integrated into the AWS ML stack. It offers a broad, commoditized alternative to Snorkel Flow for AWS-native customers and competes for the same enterprise training-data workloads.
Emerging players
- Datasaur: Datasaur is an NLP-focused data labeling platform with LLM-assisted labeling workflows. It is an emerging alternative to Snorkel Flow for text-heavy enterprise labeling use cases.
- Weights & Biases: Weights & Biases provides experiment tracking, model evaluation, and dataset versioning tooling for ML teams. Its evaluation and dataset products partially overlap with Snorkel Evaluate and Snorkel's benchmark suite.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Snorkel AI social profiles
Digital presenceSnorkel AI compliance and trust
Trust signalCompliance2 records
Snorkel AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Snorkel AI leadership team
Management profileNumber of profiles
Profiles12 records
Snorkel AI funding detail
Funding detailFunding overview
Funding rounds9 records
Investors27 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Snorkel AI 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 Snorkel AI
What does Snorkel AI do?
Snorkel AI is a frontier AI data lab that develops specialized training data, evaluation systems, and runnable environments for frontier AI models and agents. Its core product is the Snorkel Flow AI Data Development Platform, supported by Snorkel Evaluate for model evaluation, Snorkel Expert Data-as-a-Service for expert-curated data programs, the Snorkel Data Series of curriculum-structured datasets and benchmarks, and Specialized Agents built for enterprise workflows.
Is Snorkel AI a public or private company?
Snorkel AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Snorkel AI founded?
Snorkel AI was founded in 2019. It employs 251 to 500 people.
Where is Snorkel AI based?
Snorkel AI is headquartered in San Francisco, United States, in the North America region.
How does Snorkel AI make money?
Four revenue lines are on record. Data-as-a-Service (DaaS) is the primary driver. The others are benchmark and Evaluation Products, custom Agent Development and snorkel Evaluate.
Who are Snorkel AI's main competitors?
Direct peers on record are Labelbox, Scale AI, Surge AI, Sama and SuperAnnotate. Broad incumbents are Appen, TELUS International (Lionbridge AI) and Amazon SageMaker Ground Truth. Emerging players are Datasaur and Weights & Biases.
Does Snorkel AI have an API?
No public API is recorded for Snorkel AI.
What industry is Snorkel AI in?
Snorkel AI's product category is AI Data Development Platform. Its primary akta.pro industry code is HDAAALAL, Domain-Specific Training Data Solutions (e.g., medical, AV, geospatial). Its NAICS code is 54151 and its SIC code is 7374.