AI For Insurance
From improving claims experience to fraud detection, Snorkel Flow provides insurance innovators with a data-centric platform to build custom AI applications powered by programmatic data labeling.
Snorkel AI is leading the shift from model-centric to data-centric AI development to make AI practical.
Save time and costs by replacing manual labeling with rapid, programmatic labeling.
Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data.
Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets.
Version and audit data like code, leading to more responsive and ethical deployments.
Incorporate subject matter experts' knowledge by collaborating around a common interface–the data needed to train models.
Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.
Use Cases —
AI Solutions For Insurance
AI applications built using Snorkel Flow can boost revenues through increased personalization for customers and employees, and lower costs through efficiencies generated by higher automation, reduced errors rates, and better resource utilization.
Claims Fraud Detection
A Radically New Approach to AI
With Snorkel Flow
With Conventional Approaches
The only AI platform that lets you label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly.