Insurance Data-Driven Decisioning

We help digitize and enrich insurtech big data for AI/ML so you can innovate, compete, and improve business outcomes.

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Overview

Insurance decision-making is becoming fully digitized. But to drive sound decisions, you need to gather, filter, and feed multiple sources of disparate data into your big data analytic engines and ML/AI models. As experts in document and data processing with a focus on data quality, CloudFactory will help you get the job done, fast.

What We Offer

Computer vision: Image review and labeling for insurable assets like pools and roofs.
Model training: Human-in-the-loop data processing and review for AI/ML risk assessment models.
Processing of unstructured data: Web scraping, validating, enriching, and geo-coding.
Document pre-processing: Verifying, cleansing, and transcribing data into digital formats.

— MEET OUR CLIENT

Digitizing Risk for Improved Insurance Outcomes

Geocoding and pre-cleansing data

This U.S.-based insurer’s business intelligence platform uses AI to digitize risk for commercial property owners and improve insurance outcomes.

Our team of 100+ data analysts delivers 8,000+ hours monthly.
For one unique task, we geocode thousands of documents quarterly by pinning locations on a digital map.
For another, we pre-cleanse documents by identifying incomplete, incorrect, inaccurate data, and modifying data as needed.

digitizing-risk-for-improved-insurance-outcomes

Since early 2021, CloudFactory has been helping Carpe Data validate the business data we use to train our AI - work that’s core to our company because our global insurance carrier clients rely on us for deeper insights into risks. We value many things about our partnership with CloudFactory, but especially the continuity of the team, transparent communication, and how the team scales while delivering high-quality work on time.