- Verified by BizGlocal
Broad Expert Data And Evaluation Platform For Enterprise And Frontier AI Teams
- 800
- 2019
- Redwood City, CA
- 6+
About Snorkel AI
Industry leader in connected fleet operations
Market Position
A venture-backed data and evaluation vendor competing with Scale AI, Labelbox and managed human data services, with production users named in company materials that include BNY, Wayfair, Chubb, Experian, Rox and US federal agencies.
Innovation Focus
Programmatic labeling and weak supervision, expert Data-as-a-Service, rubric-guided data curation, reinforcement learning environments, specialized evaluators and public benchmarks such as Senior SWE-bench.
Core Strengths
One vendor for datasets, custom data builds, evaluation, agents and a federal path, backed by 250+ peer-reviewed papers, a SOC 2 report, a HIPAA report and a public trust center.
Use Cases
Agent and tool-use data, code generation data, multimodal chart and image data, expert annotation, LLM evaluation and judge alignment, contract review and customer-service AI in banking, insurance and telecom.
Core Products & Solutions
Snorkel Data Series
Off-the-shelf, curriculum-structured datasets for specific task areas, with rubrics, reviewer guidance, difficulty tiers, built-in evaluation slices and containerized terminal environments for long-horizon agent tasks.
Custom Data Development
Bespoke datasets, reinforcement learning environments and benchmark expansions. Snorkel’s process runs from task specification and rubric design through dataset construction to provenance and adjudication.
Expert Data-as-a-Service
A managed service that pairs Snorkel’s subject matter expert network with its programmatic labeling and quality-control platform, so enterprises can combine in-house data with outsourced expert datasets.
Snorkel Evaluate
Tools for building benchmark datasets and specialized evaluators and correcting error modes. Snorkel positions it as a replacement for generic datasets and off-the-shelf LLM-as-a-judge scoring, and generally available since May 2025.
Specialized Agents
Custom AI and agentic systems built with client product teams and tested against business criteria. Enterprise stories describe contract review, billing assistants and sales email generation.
Federal Offering And Open Research
A build, evaluate and operationalize lifecycle for government, designed for air-gapped and on-premises environments and available through GSA MAS. Public leaderboards and Open Benchmarks Grants round out the research side.
Pricing Overview
Data Series And Expert Data-as-a-Service
Teams that need curated or expert-labeled datasets for training and evaluation
Custom
Pricing
Custom quote, with no published rate
- Snorkel’s data development page offers a Request dataset samples option
- The Data Series is described as curriculum-structured with rubrics and evaluation slices
- Custom data development adds task design, RL environments and benchmark expansion
- No per-label, per-task or per-hour rates are published
- No self-serve plan or free trial is listed on the pages we reviewed
Snorkel Evaluate And Specialized Agents
Enterprise teams building evaluators, benchmarks or production agents
Custom
Pricing
Custom quote, with no published rate
- Snorkel Evaluate has been generally available since May 2025
- Specialized agents are built with client product teams against business criteria
- G2 lists no Snorkel Flow pricing, and a reviewer there calls it expensive for mid-sized teams
- An unofficial AWS Marketplace listing by pCloudHosting shows hourly infrastructure rates for an older Snorkel Flow image, not Snorkel’s own price
- Seat counts, minimums and implementation fees are not published
Federal And Air-Gapped Deployments
Government agencies and regulated teams needing on-premises or air-gapped use
Custom
Pricing
Custom quote, available through GSA MAS and agency contract vehicles
- Snorkel says the federal offering needs no external connectivity or cloud dependency
- It reports most agencies reach production within 60 days of project start
- The page does not mention FedRAMP authorization or DoD Impact Levels
- Snorkel shows SOC 2 and HIPAA logos and lists a pentest report in its trust center
- Contract values are not published
Who Is Snorkel AI Best For?
Small Businesses
1-25 EmployeesGenerally not a fit today. Snorkel publishes no price, no free trial and no self-serve tier, and its recent messaging targets frontier labs and large enterprises. Smaller teams should compare self-serve labeling tools.
Mid-Market Companies
26-100 EmployeesPossible for AI-native companies with a specific model or evaluation problem, as the Rox story shows. A G2 reviewer calls pricing expensive for mid-sized teams, so confirm project scope and cost early.
Enterprise Companies
100+ EmployeesThe core audience. Banks, insurers, telecoms and government agencies appear in Snorkel’s stories, and its expert data, evaluation and agent work suit large teams with domain-heavy data and compliance reviews.
Frontier AI Labs And Federal Agencies
Any SizeSnorkel’s homepage shows partner logos including Google, Microsoft, Anthropic, OpenAI and Mistral AI, and the Defense Innovation Unit and US Air Force appear in its federal and press material.
Measurable Impact & Benefits
$375M+
Annual Recurring Revenue
Company-reported figure in its September 2026 Series E release, up more than 18 times in under a year, and not audited
$43M
Annual ROI At A Top 5 Global Telco
Vendor-reported result for a billing chatbot, with the customer unnamed
54% To 95%
Accuracy At A Top 5 Global Telco
Accuracy gain reported for the same project, which also cites 90% of complex billing cases resolved in under 24 hours
99%+
Accuracy At Rox
Rox reports 99%+ accuracy with specialized evaluators, and Snorkel’s story says the aligned judge caught wrong recipient names in about 11% of prototype emails
41-Point
Answer Accuracy Gain
Snorkel’s use case page cites this gain for a Fortune 500 telecom’s billing question-and-answer model, with 93% expert to AI evaluator alignment
67%
Faster Claims Review
Result Snorkel reports for a global insurance firm, which also says production AI shipped in under 60 days
10-100X
Faster Data Development
Vendor-reported speed claim on the federal page, with no baseline or methodology stated
4.2
Rating On G2
Average across 7 reviews on the Snorkel Flow reviews page, with a low volume of public reviews
Snorkel AI Real reviews
Our Rating:
4.2
- Verified Users
- Verified Users
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Snorkel AI’s Pros & Cons
Balanced evaluation to help you make an informed decision
Strengths
- Datasets, custom data builds, expert services, evaluators and agents from one vendor
- Programmatic labeling heritage that turns expert knowledge into scalable labeling logic
- Rubric-guided curation with calibrated experts and documented feedback loops
- Public leaderboards, benchmarks and 250+ peer-reviewed papers
- A federal path with air-gapped and on-premises design and GSA MAS availability
- SOC 2 and HIPAA reports and a public trust center with a pentest report and security whitepaper
- Named results in telecom, banking, insurance and sales software
Limitations
- No published pricing, no free trial and no self-serve tier
- Recent messaging leans toward frontier labs and large enterprises
- Public reviews are few, with 7 on G2 and none verified elsewhere
- Most customer stories are anonymous and vendor-reported
- The homepage no longer describes Snorkel Flow, so its current status needs confirming
- FedRAMP and DoD Impact Level status is not stated on the pages we reviewed
Our Verdict
Snorkel AI earns its place in BizGlocal’s Best in Features list for AI data labeling and training data because it covers more of the data lifecycle than most rivals: curated datasets, custom data and environments, expert services, evaluators, specialized agents, public benchmarks and a federal deployment path. It adds programmatic labeling research, a SOC 2 report and a HIPAA report, and published results that include 54% to 95% accuracy at a telecom and 99%+ at Rox. The trade-offs are cost, focus and proof. Snorkel publishes no pricing and no trial, public reviews are few and cover mainly the older platform, and many results come from anonymous customers. Smaller teams will often be better served elsewhere. Buyers should request dataset samples, pilot on their own data, confirm deployment and security terms, and compare Scale AI and Labelbox before committing.
Resources
Resources & Documentation
Detailed materials for deeper evaluation
Data Development
Snorkel Data Series, custom data development, Data-as-a-Service and expert programs
How It Works
The evaluate, curate and refine workflow, with calibrated experts and quality checks
Enterprise Stories
Customer stories from banking, insurance, telecom, Experian, Rox and the Defense Innovation Unit
Federal
Build, evaluate and operationalize lifecycle for government, with air-gapped deployment
Trust Center
SOC 2, HIPAA, pentest report, security whitepaper and subprocessor information
Research Hub
Papers, benchmarks and research collaborations with frontier AI teams
Leaderboards And Open Benchmarks Grants
Public model rankings and grants for open evaluation work
Platform Documentation
Admin, annotator and data scientist guides for the Snorkel AI data development platform
What to Know
What to Know Before Buying
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Define your task, failure modes and success criteria before the first call -
Ask whether you need a managed dataset, a custom build or platform access
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Plan expert review time, since Snorkel’s process relies on calibrated reviewers and adjudication
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Snorkel’s pages do not list technical integrations, so confirm data formats, export paths, cloud and model support, and any air-gapped requirements. A G2 reviewer notes PyTorch export for the older platform.
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Snorkel reports 1,000+ expert-level domains and works with large AI labs, but publishes no volume limits. A G2 reviewer reports high memory use when running labeling on millions of rows.
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Pricing is quote-only, so ask about dataset, task or project pricing, expert time, evaluation environments, platform fees, support tiers, implementation and renewal terms. Do not rely on the unofficial AWS Marketplace rates.
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Moving from another labeling vendor means exporting data and guidelines, rebuilding rubrics and ontologies, and recalibrating reviewers before quality settles.
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Snorkel’s pages give no contract terms. Request the order form, data ownership and retention terms, subprocessor list and security reports in writing, and confirm how the federal path is contracted.
Alternatives
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See how Snorkel AI stacks up against competitors
Scale AI lists a Data Engine, a GenAI portfolio, evaluations, public sector solutions and enterprise AI applications, names customers such as NVIDIA, Meta, Mayo Clinic and the CDAO, and publishes no pricing, with a demo call as the entry point, while Snorkel pairs expert data with programmatic labeling research and a federal offering.
Labelbox publishes Free, Starter and Enterprise plans with labeling rates of $8 per hour and from $10 per hour, lists SOC 2 Type II among its compliance badges, and describes an Alignerr expert network of 2.6 million experts, while Snorkel offers quote-only pricing and no self-serve tier.
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FAQ’s
Frequently Asked Questions
Common questions about Snorkel AI
Snorkel publishes no prices and sells by quote. G2 lists no Snorkel Flow pricing, and a reviewer there calls it expensive for mid-sized teams. An AWS Marketplace listing by pCloudHosting shows hourly infrastructure rates for an older image, but it is not Snorkel’s own price.
Snorkel has no free trial or published small business plan, and G2 reviewers say it targets large enterprises. Small businesses can ask for dataset samples and compare self-serve labeling tools first.
Snorkel’s trust center lists SOC 2, HIPAA, NIST CSF, a pentest report and encryption at rest and in transit, with Amazon as its only listed subprocessor. The SOC 2 type is not stated on the page, and its documents suggest Type II. Ask for its data use and training terms in writing.
Snorkel Flow is the programmatic labeling platform that made Snorkel known, and G2 and a 2025 Amazon listing still reference it. Snorkel’s current homepage leads with expert data, evaluation and agents instead, so confirm Flow availability with sales.
Snorkel Evaluate, generally available since May 2025, helps teams build benchmark datasets and specialized evaluators and correct error modes. Rox used the Snorkel Evaluation Suite to align its AI judge with human experts and report 99%+ accuracy.
Snorkel says its federal offering is designed for air-gapped and on-premises environments and is available through GSA MAS. Its page does not mention FedRAMP or DoD Impact Levels, so verify authorization with Snorkel.
Company materials name BNY, Wayfair, Chubb, US federal agencies including the US Air Force, Experian, Rox and the Defense Innovation Unit, plus anonymous banks, insurers and telecoms. Its homepage also shows AI lab partner logos.
Common alternatives include Scale AI, Labelbox, Appen, SuperAnnotate and V7, which differ in pricing transparency, self-serve access, expert networks and enterprise fit.