Snorkel AI is an AI data development company focused on helping frontier labs and enterprises build specialized models and agentic systems that perform in real-world settings. Its approach centers on expert data, custom evaluations, and programmatic data development so teams can move beyond generic benchmarks, manual labeling bottlenecks, and one-size-fits-all model behavior.
The company combines platform software, expert-led data services, and applied AI delivery. Through its offerings, Snorkel AI helps organizations curate training and evaluation datasets, build domain-specific benchmarks and evaluators, improve model and RAG performance, and deploy specialized agents grounded in proprietary data, business rules, and measurable quality standards.
Offerings, Capabilities, and Integrations
Snorkel AI’s core capabilities span expert-in-the-loop data creation, benchmark and evaluator design, programmatic labeling, data curation, model diagnostics, and evaluation-driven improvement. Its workflows support specialized model development for classification, extraction, generative AI, retrieval-augmented generation, and agentic systems where domain accuracy and task-specific performance matter most.
The platform is designed to fit into existing enterprise AI stacks rather than replace them. Snorkel AI supports multi-cloud and on-premises deployment, connects to common enterprise data sources such as Amazon S3, Google Cloud Storage, SQL, Databricks SQL, Google BigQuery, and Snowflake, and integrates with external model providers and services including OpenAI, Azure OpenAI, Vertex AI, Amazon SageMaker, and AWS Bedrock.
Products and Services
- Snorkel Expert Data-as-a-Service: White-glove expert data service that delivers high-quality training and evaluation data, including domain-specific datasets, benchmark sets, and expert-curated data for frontier models and agents.
- Snorkel Evaluate: AI evaluation offering for building benchmark datasets, custom evaluators, and fine-grained diagnostics to measure how models and agentic systems perform on specialized tasks.
- Snorkel Develop: Improvement workflow focused on applying evaluation insights to data curation, prompt engineering, RAG optimization, model fine-tuning, and distillation for better in-domain performance.
- Snorkel Flow: Collaborative AI data development platform for capturing subject-matter knowledge, labeling or generating data programmatically, analyzing errors, and accelerating model development and deployment.
- Snorkel Data Series: Curriculum-structured datasets for frontier task areas, with built-in rubrics, reviewer guidance, difficulty tiers, and evaluation slices.
- Custom data development: Bespoke dataset, benchmark, and evaluation development for organizations that need coverage tailored to specific domains, tasks, or model failure modes.
- Specialized agents: Custom AI and agentic systems built for specialized workflows and evaluated against business-specific rubrics and programmatic checks rather than generic benchmarks.
- Snorkel Custom: Service engagement in which Snorkel AI experts deliver specialized models and fine-grained evaluations tailored to a customer’s data, domain, and production requirements.
Target Customers
Snorkel AI serves frontier model developers, enterprise AI teams, and digital product organizations that need specialized data and evaluation to move AI systems from experimentation into production. Typical users include applied research teams, data scientists, ML engineers, and subject-matter experts building domain-specific models, copilots, retrieval systems, and agentic applications.
Its customer profile is strongest in large enterprises and public-sector environments with proprietary data, complex documents, regulated workflows, or high-consequence decisions. Documented use cases and industry focus areas span telecom, banking and financial services, insurance, healthcare and life sciences, retail and ecommerce, energy, and government or federal-adjacent programs.
Cloud Integrations and Marketplace
- AWS Marketplace: Snorkel Flow is available through AWS Marketplace and aligns with AWS-based deployments and integrations including Amazon S3, Amazon SageMaker, Amazon Bedrock, and Amazon EKS.
- Azure Marketplace: Snorkel Flow has a presence in Azure Marketplace and supports Azure deployments and integrations including Azure Kubernetes Service, Azure Blob Storage, Azure Data Lake Storage, Azure AI services, Azure OpenAI, and Azure Machine Learning.
- Google Cloud Marketplace: Snorkel Flow can be purchased through Google Cloud Marketplace and integrates with Google Cloud services such as BigQuery, Google Cloud Storage, Vertex AI, and Google Kubernetes Engine.
Key People
- Alex Ratner: Co-Founder & CEO
- Bobby Shoker: Chief Financial Officer
- Ajay Singh: Chief Product Officer
- Karim Tarmohamed: Chief Revenue Officer
- Cate Lochead: Chief Marketing Officer
- Fred Sala: Chief Scientist
- Paroma Varma: Co-Founder & Head of Solutions
- Braden Hancock: Co-Founder & Head of Technology
- Henry Ehrenberg: Co-Founder
- Christopher Ré: Co-Founder
- Liz Sweet: Head of People
Key Facts
- Headquarters: Redwood City, California, United States
- Employees: Approximately 200
- Annual Revenue: Undisclosed
- Parent Company: None
- Subsidiaries: None
- Publicly Listed: Private
Analyst Recognitions
- Gartner: 2025 Gartner Hype Cycle for Artificial Intelligence: Sample Vendor for Model Distillation. 2022 Gartner Cool Vendors in AI Core Technologies — Scaling AI in the Enterprise: Cool Vendor.
