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AI infrastructure · Tool
Snorkel AI
ResearchedSnorkel AI builds specialized training data, benchmarks, and evaluation environments for frontier models and agents. Founded out of Stanford AI Lab, it offers expert-curated datasets, custom AI systems, and benchmarks such as Agents' Last Exam and Senior SWE-bench.
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In one minute
Start here for the decision-making essentials: what Snorkel AI does, who it is for, how it is accessed, and the first-party sources behind this profile.
PricingCurrent signal
See official pricing
Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProvides funding for open-source AI research via Open Benchmarks Grants
Best suited to
Source-backed fit Frontier AI labs needing specialized training data and benchmarks Enterprise AI teams building custom agents for high-impact workflows Organizations facing distributional gaps or benchmark blind spots in… Frontier AI labs and AI teams Enterprises needing custom agents for specialized, high-impact workflows
Decision support
6 sourced answersCommon questions and adoption checks
Short answers to the questions buyers and builders commonly ask about Snorkel AI. Each answer cites the shared ledger below, where every source is listed once.
01What does Snorkel AI say it can do?
Builds specialized training data, benchmarks, and evaluation environments for frontier mod · Develops expert-curated datasets for frontier AI · Builds custom AI systems (specialized agents) to unlock ROI · Expert-curated datasets for frontier AI
Snorkel AI builds specialized training data, benchmarks, and evaluation environments that help frontier models and agents perform in high-stakes domains.
02Who is Snorkel AI intended for?
Frontier AI labs and AI teams · Enterprises needing custom agents for specialized, high-impact workflows
Snorkel helps frontier labs and AI teams develop specialized training data and environments that set their models and agents apart.
03What use cases does Snorkel AI describe?
Helping frontier models and agents address distributional gaps in specialized domains, ben · Research-led data and environment development for the frontier's hardest problems · Enterprise AI deployments · Custom AI systems (specialized agents) built to unlock ROI fast
Frontier models fail on distributional gaps in specialized domains, benchmark blind spots, and tasks where correctness is hard to define.
04What should teams verify before adopting Snorkel AI?
Privacy Policy applies to information processed from current, prospective, and former cust
This Privacy Policy applies to information that we process from or regarding our current, prospective, and former customers, users, visitors, guests, business partners, and employees, in the course of our business, including on our website
Ledger citation[4] snorkel.ai/privacy
05What integrations does Snorkel AI document?
Partners with top frontier AI and research teams · Partnership with Berkeley RDI on the Agents' Last Exam benchmark
Proud to partner with top frontier AI and research teams
06How can Snorkel AI be deployed or accessed?
Frontier Data Summit (October 8) — a one-day, invite-only summit providing a first look at
Frontier Data Summit | October 8 A one-day, invite-only summit, providing a first look at the benchmarks and research that will shape the frontier.
Ledger citation[5] snorkel.ai/blog
Decision guide
AI infrastructureCapabilities and operating fit
This profile connects the jobs Snorkel AI is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
- Creating expert-curated datasets for frontier AI development
- Building evaluation environments and benchmarks such as Agents' Last Exam, Senior SWE-benc
- Developing custom AI agents grounded in customer data and operating environments
- Improving enterprise workflows such as customer support (e.g., Experian), sales agents (e.
- Funding open-source AI research through Open Benchmarks Grants
- Helping frontier models and agents address distributional gaps in specialized domains, ben
Topics mapped
Verified capabilities
- Builds specialized training data, benchmarks, and evaluation environments for frontier mod
- Develops expert-curated datasets for frontier AI
- Builds custom AI systems (specialized agents) to unlock ROI
- Expert-curated datasets for frontier AI
- Custom AI systems / Specialized agents
- Custom agent development grounded in customer data, context, and operating environment
- Benchmark & evaluation design
- Model behavior tuning
Recorded integrations
Intended audiences
Access signals
- Pricing model
- See official pricing
- API
- Not publicly listed
- Source links
- 8 recorded
Source-backed
Updated July 23, 2026Verified facts
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Expert data development for frontier AI | Snorkel AI
Builds specialized training data, benchmarks, and evaluation environments for frontier mod · Founded out of Stanford AI Lab · Has been shaping and benchmarking frontier AI for nearly a decade
Builds specialized training data, benchmarks, and evaluation environments for frontier models and agents in high-stakes domains
Develops expert-curated datasets for frontier AI
Builds custom AI systems (specialized agents) to unlock ROI
Helping frontier models and agents address distributional gaps in specialized domains, benchmark blind spots, and tasks where correctness is hard to define
Frontier AI labs and AI teams
View 32 more verified facts
Founded out of Stanford AI Lab
Has been shaping and benchmarking frontier AI for nearly a decade
Provides funding for open-source AI research via Open Benchmarks Grants
Agents' Last Exam — benchmark for evaluating AI agents on long-horizon, economically valuable professional workflows with verifiable outcomes, built with Berkeley RDI
Senior SWE-bench — evaluates coding agents on real-world senior engineering tasks
Terminal-Bench 2.0 — evaluates how well terminal agents complete real command-line tasks
Maintains a security page describing how it keeps data safe
Hosts a 'Frontier Data Summit' on October 8, described as a one-day, invite-only summit
Snorkel AI, Inc.
October 20, 2025
Expert-curated datasets for frontier AI
Custom AI systems / Specialized agents
Research-led data and environment development for the frontier's hardest problems
Enterprise AI deployments
Agents' Last Exam (built with Berkeley RDI) for evaluating AI agents on long-horizon, economically valuable professional workflows with verifiable outcomes
Provides funding/grants for open-source AI research and maintains Open Benchmarks
Documented Data Security policies and practices
Privacy Policy applies to information processed from current, prospective, and former customers, users, visitors, guests, business partners, and employees, including on the website
Released Senior SWE-bench with Princeton and UW-Madison researchers
Expert-curated datasets for frontier AI
Custom AI systems (specialized agents) built to unlock ROI fast
Enterprise deployments producing real-world results
Agents' Last Exam – a benchmark for evaluating AI agents on long-horizon, economically valuable professional workflows with verifiable outcomes, built with Berkeley RDI
Experian used Snorkel to improve customer-support agent response times to under 3 seconds
Rox used Snorkel to achieve 99% accuracy for its AI-powered sales agent swarm
A leading global insurance firm used Snorkel to automate subrogation operations where manual review was capped at ~30% of available claims
Provides grants that fund open-source AI research
Publishes information on how it keeps customer data safe
Maintains a Partners program listing organizations it works with
Hosts the invite-only Frontier Data Summit on October 8 showcasing benchmarks and research
Custom AI agents for enterprise workflows
Practical capabilities
8 documented areasWhat it helps with
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Creating expert-curated datasets for frontier AI development
Building evaluation environments and benchmarks such as Agents' Last Exam, Senior SWE-benc
Developing custom AI agents grounded in customer data and operating environments
Improving enterprise workflows such as customer support (e.g., Experian), sales agents (e.
Funding open-source AI research through Open Benchmarks Grants
Helping frontier models and agents address distributional gaps in specialized domains, ben
Research-led data and environment development for the frontier's hardest problems
Enterprise AI deployments
Availability
Source checkedWhere it runs and where to get it
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
See official pricingProvides funding for open-source AI research via Open Benchmarks GrantsProvides funding/grants for open-source AI research and maintains Open BenchmarksProvides grants that fund open-source AI researchProvides funding for open-source AI research via Open Benchmarks Grants · Provides funding/grants for open-source AI research and maintains Open Benchmarks · Provides grants that fund open-source AI research
Application types
Custom AI agents for enterprise workflows
Origin
Founded out of Stanford AI Lab
Platforms
Web
App stores and other links
Adoption notes
DeploymentFrontier Data Summit (October 8) — a one-day, invite-only summit providing a first look at
LicenseProvides funding for open-source AI research via Open Benchmarks Grants · Provides funding/grants for open-source AI research and maintains Open Benchmarks · Provides grants that fund open-source AI research
Model supportNot disclosed by source
Data controlMaintains a security page describing how it keeps data safe · Documented Data Security policies and practices · Publishes information on how it keeps customer data safe · Publishes how it keeps customer data safe as part of its security disclosures
Learning curveIntermediate
Primary use casesCreating expert-curated datasets for frontier AI development, Building evaluation environments and benchmarks such as Agents' Last Exam, Senior SWE-benc, Developing custom AI agents grounded in customer data and operating environments, Improving enterprise workflows such as customer support (e.g., Experian), sales agents (e., Funding open-source AI research through Open Benchmarks Grants, Helping frontier models and agents address distributional gaps in specialized domains, ben, Research-led data and environment development for the frontier's hardest problems, Enterprise AI deployments, Custom AI systems (specialized agents) built to unlock ROI fast, Enterprise deployments producing real-world results, Experian used Snorkel to improve customer-support agent response times to under 3 seconds, Rox used Snorkel to achieve 99% accuracy for its AI-powered sales agent swarm, A leading global insurance firm used Snorkel to automate subrogation operations where manu, Workflows where off-the-shelf LLMs and vertical tools fall short, Improving frontier models with curated data, Real-world enterprise deployments delivering ROI from specialized AI agents
What to verify before adopting
- Privacy Policy applies to information processed from current, prospective, and former cust
Evolution and major updates
1 dated updateSnorkel AI timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Latest first · exact dates
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
SlopCodeBench published
Open detailsSnorkel published SlopCodeBench (scbench.ai), a benchmark designed to measure code erosion as AI coding agents iterate on a codebase, addressing the accumulation of redundant complexity across iterations.
View source [3]
Citation ledger
8 unique pagesRecorded sources
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
- 1snorkel.ai 18 facts · 3 answers · Official site
- 2snorkel.ai/talk-to-an-expert-ai-solutions 11 facts · 4 answers · Official site
- 3snorkel.ai/blog/slopcodebench-measuring-code-erosion-as-agents-iterate 12 facts · 1 answer · 1 milestone · Official site
- 4snorkel.ai/privacy 11 facts · 3 answers · Security
- 5snorkel.ai/blog 12 facts · 1 answer · Official site
- 6snorkel.ai/enterprise-stories 11 facts · 2 answers · Official site
- 7snorkel.ai/blog/chat-with-the-terminal-bench-team 7 facts · Official site
- 8snorkel.ai/press 1 fact · Official site
Research status81 substantive facts · 8 source pages · quality score 95/100
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