Data labeling & annotation · Snorkel AI, Inc.

Snorkel AI

Programmatic-labeling platform (Snorkel Flow) that generates training labels from heuristic rules and weak supervision instead of manual annotation.

Snorkel AI's core product, Snorkel Flow, takes a different approach from manual annotation tools in this category: instead of humans labeling each example, users write "labeling functions" — heuristic rules, keyword patterns, existing model outputs or crowdsourced signals — and Snorkel's weak-supervision algorithms combine these noisy sources into a single probabilistic label per example across a large dataset. This programmatic approach can label far faster and cheaper than manual annotation for suitable use cases, and supports active-learning loops to target where human review adds the most value. More recently the company has also moved into expert data-development services for frontier AI labs — custom evaluation datasets, rubrics and specialized agent environments — sold separately from the Snorkel Flow platform. It deploys as a managed cloud service or in a customer's own VPC for enterprise and government customers.

At a glance

Vendor Snorkel AI, Inc.
Pricing model Quote only
Free tier
Deployment Cloud, Self-hosted
Open source No
Best for Teams that want to generate training labels programmatically at scale rather than annotate manually example by example.

Pricing

No public pricing found; quoted per deployment, contact sales.

Pricing has not been verified yet — see the vendor's site.

Features

  • Programmatic labeling via user-defined labeling functions
  • Weak-supervision algorithms combining multiple noisy label sources
  • Active learning to prioritize human review effort
  • VPC/on-prem deployment for enterprise and government customers
  • Data-quality and drift monitoring on labeled datasets
  • Expert data-development services for frontier LLM/agent evaluation
  • Integration with existing model outputs as label sources

Integrations

Profile last reviewed September 21, 2026

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