Snorkel AI
Snorkel AI is a data-centric AI platform founded in 2019 by Alexander Ratner, Chris Ré, Henry Ehrenberg, Braden Hancock, and Paroma Varma—researchers from Stanford's AI Lab.
Profile
Platform for programmatic data labeling, model evaluation, and expert data curation to help enterprises build specialized AI systems.
Snorkel AI is a data-centric AI platform founded in 2019 by Alexander Ratner, Chris Ré, Henry Ehrenberg, Braden Hancock, and Paroma Varma—researchers from Stanford's AI Lab. The company commercializes years of academic work in programmatic data labeling and has grown rapidly, raising $237 million across seven funding rounds, including a $100 million Series D at a $1.3 billion valuation announced in May 2025.
The core premise is straightforward: enterprise AI success depends on training data quality, not model selection. Snorkel's platform allows data scientists and ML engineers to programmatically label datasets, identify model error modes, and rapidly iterate on data—replacing manual labeling at scale. The company serves Fortune 500 firms, seven of the top ten US banks, federal agencies, and leading AI labs including Google, Anthropic, OpenAI, and Mistral.
CEO Alex Ratner's focus on data-centric AI has positioned Snorkel as a reference vendor in the discipline. Named customers include BNY Mellon (which invested), Experian, and Schlumberger. In May 2025, Snorkel launched Snorkel Evaluate for specialized model evaluation and Snorkel Expert Data-as-a-Service, signaling a shift toward managed services. Accenture Ventures invested in August 2025 and committed to building financial-services solutions.
Revenue reached $148 million in 2025, though growth brought operational friction. In May 2024, Snorkel appointed four executives—CFO Bobby Shoker, CMO Cate Lochead, CDO Ronaldo Ama, and CPO Ajay Singh—to professionalize go-to-market and product. The company held its inaugural SnorkelCon conference in October 2024. Yet by late 2025, Snorkel cut 13% of its workforce (31 of 240 employees) to accelerate its pivot to data-as-a-service, eliminating business development and some engineering roles while sparing applied AI teams.
Glassdoor ratings reflect tension: employees cite "disorganized" leadership and reactive decision-making, even as others praise technical talent. The shift from software licensing to high-margin data provision is a strategic bet that demands flawless execution.
Products by Snorkel AI
Who buys this
- Top-10 US banks and large financial services institutions
- Fortune 500 companies and enterprise AI teams
- Federal government agencies and frontier AI labs
- Biotech, pharmaceutical, and insurance companies
- Large language model providers and foundation-model companies
Publicly disclosed clients
- BNY Mellon
- Experian
- Schlumberger
- QBE Insurance
Strengths and what to watch
Strengths
- $237M in capital with recent $100M Series D; proven ability to attract top-tier investors including BlackRock, Addition, Accenture
- Deployed at scale with Fortune 500 firms and 7 of top 10 US banks; integrated with major foundation-model providers (Google, Anthropic, OpenAI)
- Experienced executive team with successful prior exits: Looker (Google acquisition), Zebrium (ScienceLogic acquisition), exits >$300M
Watch for
- 13% workforce reduction (31 of 240 employees) in late 2025 signals execution challenges and operational friction amid rapid growth
- Glassdoor rating 2.9/5 with employee complaints of disorganized leadership, burnout, and reactive decision-making
- Strategic pivot from software licensing to high-margin data-as-a-service model requires flawless GTM execution and sustained enterprise demand
Recent moves
Key Information
- Industry
- AI/ML Platform
- Founded
- 2019
- Employees
- 51-200
- Headquarters
- Redwood City, CA
Frequently Asked Questions
What is Snorkel AI?
Snorkel AI is a data-centric AI platform founded in 2019 by Stanford researchers. It enables enterprises to programmatically label datasets, evaluate model performance, and curate expert data for building specialized AI systems. The platform replaces manual labeling workflows at scale and serves Fortune 500 firms and federal agencies.
What is data-centric AI?
Data-centric AI prioritizes training data quality over model selection. CEO Alex Ratner argues that enterprise AI success depends on high-quality labeled datasets rather than architecture choices. Snorkel's platform automates data labeling and curation, enabling rapid iteration on datasets instead of manual annotation.
What products does Snorkel AI offer?
Snorkel Flow enables programmatic data labeling at scale. Snorkel Foundry provides machine learning infrastructure for enterprises. Snorkel Evaluate, launched in May 2025, specializes in identifying model error modes. The company also launched Snorkel Expert Data-as-a-Service, offering curated datasets and signaling a strategic pivot to managed services.
Which companies use Snorkel AI?
Snorkel AI serves seven of the top ten US banks, Fortune 500 companies, and federal agencies. Named customers include BNY Mellon, Experian, Schlumberger, and QBE Insurance. The platform also powers leading AI labs including Google, Anthropic, OpenAI, and Mistral, providing data infrastructure for foundation-model development.
How much funding has Snorkel AI raised?
Snorkel AI has raised $237 million across seven funding rounds. The company announced a $100 million Series D in May 2025 at a $1.3 billion valuation. Major investors include BlackRock, Addition, Accenture Ventures, and BNY Mellon, demonstrating strong institutional backing.
What challenges is Snorkel AI facing?
Snorkel AI cut 13% of its workforce (31 employees) in late 2025 to accelerate its data-as-a-service pivot. The company holds a 2.9/5 Glassdoor rating, with employee complaints about disorganized leadership and burnout. Analysts cite execution risks as Snorkel transitions from software licensing to high-margin managed services.
How Snorkel AI compares
Direct head-to-head against 2 competitors. Picked by 7wData.
Snorkel AI
- Positioning
- Platform for programmatic data labeling, model evaluation, and expert data curation to help enterprises build specialized AI systems.
- Customer segments
- Top-10 US banks and large financial services institutions
- Strengths
- $237M in capital with recent $100M Series D; proven ability to attract top-tier investors including BlackRock, Addition, Accenture
- Watch for
- 13% workforce reduction (31 of 240 employees) in late 2025 signals execution challenges and operational friction amid rapid growth
- Recent moves
- Snorkel AI announces $100 million Series D at $1.3 billion valuation; launches Snorkel Evaluate and Expert Data-as-a-Service
Scale AI
- Positioning
- Enterprise data annotation and model evaluation platform; pivoting toward defense contracts after losing major AI lab clients.
- Customer segments
- US defense agencies, Fortune 500 enterprise AI teams, automotive firms; ML engineers and government procurement buyers.
- Strengths
- Pentagon contract ceiling raised to $500M (Sept 2025); prime contractor on DoD Thunderforge military AI planning program.
- Watch for
- Google, OpenAI, and xAI cut labeling contracts after Meta's June 2025 investment, citing data confidentiality conflicts.
- Recent moves
- Meta invested $14.3B for 49% stake June 2025; founder Alexandr Wang became Meta Chief AI Officer; Jason Droege named CEO.
Labelbox
- Positioning
- Training data management platform targeting enterprise ML teams across annotation, active learning, and model evaluation workflows.
- Customer segments
- Enterprise ML teams at large tech and mid-market companies; ML engineers and data operations leads managing production models.
- Strengths
- SOC 2 and ISO 27001 certified; 70% of revenue from enterprise subscriptions; ARR surpassed $100M in 2025.
- Watch for
- No reported funding round since Series D in January 2022; runway scrutiny intensifies as better-capitalized rivals expand.
- Recent moves
- Launched Evaluation Studio August 2025, providing frontier AI labs real-time model performance benchmarking and feedback.
Sources
- snorkel.ai — Company overview, products (Snorkel Flow, Foundry, Custom Foundation Models), mission, partnerships
- www.businesswire.com — Series D $100M funding, $1.3B valuation, investor list (Addition, Prosperity 7, Greylock, Lightspeed, BNY, QBE), product launches
- snorkel.ai — Series C $85M at $1B valuation, strategic direction, CEO quote on data-centric AI, customer impact examples
- newsroom.accenture.com — Accenture Ventures investment, partnership scope, financial services focus, Fortune 500 customer names (BNY, Experian)
- www.prnewswire.com — May 2024 C-suite appointments (Shoker, Lochead, Ama, Singh), SnorkelCon inaugural event October 2024
- www.glassdoor.com — Employee satisfaction rating 2.9/5, work-life balance 2.2/5, culture and values 2.4/5, employee sentiment on leadership and burnout
- benzatine.com — Workforce reduction of 13% (31 of 240 employees), strategic shift to data-as-a-service model, impact on teams
- getlatka.com — Revenue $148M in 2025, employee count 776 in 2025