Scout InsurTech Interview with Fenris

Fenris is a data and analytics company. They seek to deliver instant prefill data and predictive insight, at the applicant and policyholder level, for early risk assessment and quoting of insurance products. Michael Fiedel sat with Director of Strategic Accounts, Tucker Hood, to learn more about how Fenris is impacting the industry.

Who are your clients?

Our clients include insurtechs, agencies, MGA’s and carriers. 

What does your product do?

At its core, Fenris is a data and analytics company. We saw a need for high-quality third-party data that insurance players could use for customer acquisition. We built a model that provides data on 250 million Americans, 140 million households, 40 million small businesses and 50 million life events annually.

We're API-first, meaning we deliver this data via simple API calls. Beyond that, we also offer predictive AI and machine learning tools that help clients make decisions using the data, not just access it.

How much capital have you raised?

More than $1 million and less than $10 million.

Was the company born from within or outside the industry?

It was born from within the industry. Our CEO, Jen, had previously built and sold an insurtech company and worked at Elephant Insurance. Our CTO held a similar role at Pitney Bowes, where he worked on address-related data challenges in insurance. I also spent several years at another insurtech before joining Fenris. 

What growth metrics have you accomplished over the last 12 months?

Revenue growth was substantial last year. But, what’s even more exciting is our API volume—we’re doing millions of calls each month. Even more impressive, our machine learning models are generating more API calls than our data endpoints now, which shows that clients are using us for decision-making, not just data gathering.

Within your domain, what is the current challenge that the industry is facing?

A lot of legacy data providers are focused on underwriting and claims data, which puts them in deep partnerships with carriers. That works for carriers but leaves out MGAs, agencies and insurtechs—who often don’t get the tools they need.

We’re upstream. We care about a different customer, the one who's doing acquisition and doesn't want to deal with layers of carrier sponsorship. Plus, many legacy players are slow-moving. As a startup with API-first delivery, we’re much easier and faster to implement.

How does Fenris take a unique approach to providing value?

We’re democratizing access to data—simple API setup in under 24 hours, no carrier sponsorship required. Our clients can test data quickly, implement easily and get real business value.

On top of that, we offer machine learning models tailored to client needs. If an MGA or lead vendor comes to us with a problem, we either adapt an existing model or build one from scratch. They only pay once we’ve delivered real value, which is a big shift from how traditional data vendors operate.

What inspired the team to start this company?

Our CEO saw the pain of sourcing leads and data firsthand while running marketing at Elephant Insurance. Our CTO saw how difficult address and identity data issues were while at Pitney Bowes. They both realized that better data access, faster implementation and real-time analytics could dramatically improve how the industry operates.

Can you share any goal(s) for the next 12 months?

We want to solidify our role as a leading data and machine learning provider in the space. We're a startup, but we punch above our weight. We’re looking to double revenue and API usage again this year as well as grow brand recognition.

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