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Snorkel AI

Accelerate enterprise AI with scalable, programmatic data labeling pipelines

Venture Funded$93MSeries BGreylock PartnersAmplify PartnersGV
data labelingmachine learningdata opsautomation
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About

Snorkel AI enables enterprises to rapidly build and manage high-quality training data through programmatic labeling, reducing manual effort and improving model accuracy at scale. Its platform supports compliance with data privacy standards and integrates seamlessly into existing ML workflows for robust, enterprise-grade AI deployments.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Snorkel AI’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityStrong

Founded 2019 · Series B

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier
Active
last GitHub commit 49d ago
GitHub API2026-05-27
snorkel-ai
SDK / client libraries· 13· active 5mo ago
Python · HTML · Dockerfile · JavaScript
cooling · +1★ (+8.3%) 30d
OSV vulnerability feed2026-08-24
No known advisories

Enterprise Use Cases

Automated data labeling
Training data generation
Model accuracy improvement
Data-centric AI workflows
Compliance-driven data management
Scalable ML pipeline orchestration

Integrations

AWSAzureGoogle CloudDatabricksSnowflakeKubernetesMLflowTensorFlow

How Snorkel AI compares

ToolReadinessPricingDeploymentComplianceIntegrations
Snorkel AINot scoredEnterpriseCloud, On-Premise, Hybrid8
AirbyteNot scoredFreemiumCloud, On-Premise, Hybrid, Self-Hosted8
Astronomer Astro70 · StrongEnterpriseCloud, On-Premise, Hybrid, Self-Hosted8
Elastic AI70 · StrongEnterpriseCloud, On-Premise, Hybrid, Self-Hosted8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Snorkel AI used for?

Snorkel AI is accelerate enterprise AI with scalable, programmatic data labeling pipelines. It is commonly used for automated data labeling, training data generation, model accuracy improvement, and data-centric ai workflows.

Is Snorkel AI free, and how is it priced?

Snorkel AI uses enterprise pricing, typically a custom quote based on seats, usage, and requirements. Contact the vendor for a quote.

How can Snorkel AI be deployed?

Snorkel AI supports Cloud, On-Premise, and Hybrid deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Snorkel AI integrate with?

Snorkel AI documents 8 integrations, including AWS, Azure, Google Cloud, Databricks, Snowflake, and Kubernetes.

When was Snorkel AI founded?

Snorkel AI was founded in 2019 and has raised $93M in funding.

Is Snorkel AI enterprise-ready?

Based on cataloged data, Snorkel AI has an Enterprise Readiness score of 65/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingEnterprise
DeploymentCloud, On-Premise, Hybrid
Founded2019
Funding$93M
CategoryData & MLOps

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