Small Business Advice

Fenris Introduces a New Insurance Prefill API for Small Businesses

Fenris Digital, announced the launch of its latest data service, Small Business Insurance Prefill API. Fenris Digital is a data and analytics company focused on streamlining and modernizing the process of quoting insurance products for insurance agents, carriers, and brokers. This is their tenth data and awareness product launch in the last year and a half, increasing their 400% growth by 2020. By providing up to 40 of the data points required by most commercial insurance application questionnaires, including NAICS code, the latest service makes it easier for small business owners and agents to get a quote — directly from digital-first carriers or via insurance aggregators.

The newly launched small business API provides more data points from more sources than previous Fenris small business services and is integrated into the company's AI-driven data platform. It makes use of Fenris' proprietary data repository, which contains information on over 35 million small businesses, all properties in the United States, and over 255 million adults. Fenris clients can also obtain API-delivered data on business owners, which is frequently required by underwriters when assessing the risk of micro-businesses.

Fenris data platform enables to take advantage of big data and analytics capabilities without investing resources, due to its machine learning algorithms, and extensive data sourcing.

About Fenris
Fenris, an industry leader in data sourcing technology, uses data and machine learning to provide instant insight and enrichment on each applicant and policyholder. Fenris' API-delivered solutions for auto, home, and life personal lines insurance, as well as small business commercial insurance, are focused on applicant scoring for propensity to buy and lifetime value, data enrichment and pre-fill for friction-free quoting workflows, and LEMA (Life Event Monitoring and Alerts) to identify key retention and upsell moments on every policyholder.

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