Started by actuaries and underwriters who had seen the same underwriting mistakes made with the same spreadsheet tools for fifteen years.
In 2021, Amara Okafor was running commercial lines underwriting for a mid-size regional carrier in New England. At the end of the year, the carrier's commercial auto combined ratio came in at 117. Nobody was surprised. The submissions that drove the worst losses had visible risk indicators — high-frequency prior carriers, SIC codes with documented adverse loss history, geographic clustering in three CAT-exposed territories — but they had been priced the same way as the clean risks because the underwriting tools didn't distinguish between them.
The tools didn't distinguish because nobody had built a tool that combined ISO loss cost data, the carrier's own historical loss triangles, and external hazard data into a single scoring layer. Vendors sold point solutions — rating engines, claims systems, analytics dashboards — and the actuarial team was expected to stitch them together in Excel.
RiskVert was built to make that stitching unnecessary. We write software for P&C carriers that should have existed in 2015 but didn't because the insurance technology market spent that decade focused on the consumer side, not the carrier side.
We are based in Simsbury, Connecticut — not because of the startup ecosystem, but because that's where the insurance industry actually operates. Our team includes former underwriters, actuaries, and claims professionals who have worked at carriers, not just consulted for them. We know what the daily workflow looks like and what makes carrier technology actually get adopted instead of ignored.
Our first version focused on submission scoring because that's where adverse selection starts. Since then, we've added claims triage, ISO rating integration, and loss ratio forecasting — all in response to what our early carrier partners told us they needed, not what looked good in a pitch deck.
Every risk score surfaces the top contributing factors. Every loss projection links to the underlying development triangles. Actuaries and regulators need to understand why the model made a recommendation, not just what it was.
Policyholder data is processed in ephemeral compute and never stored in our infrastructure. Enterprise deployments run entirely within the carrier's VPC. We have no interest in aggregating your book data.
We have certified connectors for the major PAS platforms because we've done the work to maintain them. We don't hand a carrier an API spec and call that an integration. Someone from our team sees every go-live through.
The P&C insurance industry is not going to automate underwriters out of the picture. Complex commercial risks — habitational, construction, product liability — require judgment that no model reliably replaces. What AI can do is remove the low-value work that consumes underwriter time: manually reviewing submissions that are clearly outside appetite, checking whether prior loss runs are complete, verifying that the occupancy code matches the application description.
RiskVert handles that work. The result is not fewer underwriters — it's underwriters spending their time on submissions that actually need them. That's a better outcome for the carrier, and honestly, a better job for the underwriter.
We measure our success by whether carriers who use RiskVert see their loss ratios improve over a 12-month period. We track that number. It's the only metric that tells us whether the product is actually working.
Founded 2022 in Simsbury, CT. Raised a Seed Round in early 2023. Our team of 11 includes four former actuaries (FCAS and ACAS designates), two former commercial lines underwriters, and five engineers. We are not trying to be a generalist insurance platform — we focus specifically on the underwriting and claims triage workflow for P&C carriers.
Team members
Founded
Focused exclusively
Our founders and product team are former underwriters and actuaries. The first conversation about your book is with someone who understands your workflow.