What is Snorkel AI used for?

Snorkel AI builds expert-curated training data, benchmarks and evaluation environments for frontier models and enterprise AI agents. It is a good fit for labs improving model performance in specialized domains and enterprises commissioning custom AI agents.

How much does Snorkel AI cost?

Snorkel AI doesn't publish fixed prices; pricing is quoted on request.

Is Snorkel AI open source?

No. Snorkel AI is proprietary (closed-source) software. In the AI Infrastructure category, open-source options include Dify, Langflow and RAGFlow.

What are some alternatives to Snorkel AI?

Snorkel AI competes with Scale AI, Labelbox and SuperAnnotate.

Snorkel AI: features, pricing and alternatives

About Snorkel AI

Snorkel AI is a commercial company that grew out of programmatic data labeling and now focuses on research-led data development for advanced AI. It produces specialized training datasets, benchmarks and evaluation environments intended to help models and agents perform reliably in high-stakes domains.

Its site is organized around data development, specialized agents and research. Data development covers expert-curated datasets for frontier models, while the agents offering describes custom AI systems built for enterprise customers. The research side includes a hub of papers, public leaderboards, and a grants program that funds open-source AI research. Benchmark areas span agentic coding, software engineering, computer use, enterprise environments and knowledge work.

Snorkel AI is delivered as a vendor service, not a self-install product. The company also recruits domain experts through an expert community that contributes to its data work. No pricing is stated on the homepage.

Key features

Expert-curated datasets for frontier AI
Benchmarks for agentic coding and computer use
Evaluation environments for models and agents
Custom specialized agents for enterprises
Public leaderboards comparing model performance
Research hub covering data-centric AI

Good fit for

→Labs improving model performance in specialized domains
→Enterprises commissioning custom AI agents

Tags: data-development; data-labeling; benchmarks; model-evaluation; ai-agents; ai-infrastructure

Snorkel AI: questions and answers

What is Snorkel AI used for?: Snorkel AI builds expert-curated training data, benchmarks and evaluation environments for frontier models and enterprise AI agents. It is a good fit for labs improving model performance in specialized domains and enterprises commissioning custom AI agents.
How much does Snorkel AI cost?: Snorkel AI doesn't publish fixed prices; pricing is quoted on request.
Is Snorkel AI open source?: No. Snorkel AI is proprietary (closed-source) software. In the AI Infrastructure category, open-source options include Dify, Langflow and RAGFlow.
What are some alternatives to Snorkel AI?: Snorkel AI competes with Scale AI, Labelbox and SuperAnnotate.