Specialized agents built on frontier data
Agents for workflows generic copilots can’t handle
Generic copilots weren't built for your workflows, your data, or your performance standards. Snorkel builds custom agents grounded in enterprise-specific data and evaluated against your real-world criteria.
Off-the-shelf agents fall short in enterprise ROI
Most enterprise agents fail for the same reasons: they weren't trained on data that reflects the actual workflow, they were evaluated against benchmarks that don't map to real performance, and there's no systematic way to improve them when they underperform.
How we build
Custom agents for specialized workflows
For workflows where enterprise-specific data, context, and operating knowledge create an advantage that off-the-shelf solutions can't match.
01
Use case scoping
Identifying the workflows where a custom agent creates measurable, defensible value over generic alternatives.
02
Specialized dataset development
Building the training and evaluation data that reflects your actual domain, edge cases, and operating requirements.
03
Environment-grounded evaluation
Agents tested against task-specific rubrics and programmatic pass/fail criteria.
04
Production deployment
Systems you can run, monitor, and own in your environment.
05
Continuous improvement
The same evaluate → curate → refine loop used in frontier model development, applied to your agent over time.
Use cases
Where AI needs to be right, not just good enough
Snorkel helps teams deploy agents for decisions that carry real consequences, where domain-specific data, expert judgment, and auditable evaluation criteria are the difference between a system you can trust and one you can't.
Credit decisioning
Agents that analyze financial documents and proprietary data, measured against institution-specific accuracy criteria and regulatory requirements.
Insurance underwriting
Agents that evaluate complex risk submissions against expert-specific guidelines and evaluation criteria grounded in underwriter judgment.
Clinical diagnostics
Agents that process unstructured medical records, evaluated against clinician-defined criteria with application-specific priorities like diagnostic sensitivity.
OUR APPROACH
Reliable agents aren't a prompting problem. They're a data problem.
The same data development system Snorkel uses to improve frontier models is what powers our specialized agents. Evaluated against task-specific rubrics and programmatic checks, refined through adjudication and provenance practices that make improvement systematic rather than intuitive.
When an agent underperforms, you know exactly where, why, and what data to build to fix it.
PUBLISHED RESEARCH
Research-backed. Production-ready.
Snorkel's approach to agent development is grounded in the same research methodology used with leading frontier AI labs.
