Actuarial & Analytics Consortium Adopts Slope Software Modeling Solution

Slope offers the consulting firm a more efficient and ergonomic platform for modeling within a more affordable cost structure.

(Image source: The Actuarial & Analytics Consortium homepage.)

The Actuarial & Analytics Consortium, an Atlanta-based actuarial consulting firm, has adopted Slope Software’s (Chamblee, Ga.) actuarial modeling platform SLOPE. Slope Software is an alumnus of MetLife’s Digital Accelerator powered by Techstars.

Andy Smith, CEO, Slope Software.

SLOPE is designed to solve actuarial pain points through cloud-based financial projection modeling. Cofounded by an actuary and a software engineer, SLOPE focuses on valuation, pricing, and asset-liability management primarily focused in the life insurance and annuities industry.

“Creating a formula in SLOPE is as easy as writing one in excel,” comments Dorothy Andrews, co-founder, The Actuarial & Analytics Consortium. “Their cost structure is more affordable for smaller companies. It reduces the clutter of saving and exporting messy files. The visualizations their platform provides are great to explain any model.”

Reducing the Administrative Burden on Actuaries

Slope Software was founded by actuary Andy Smith, CEO, and Taylor Perkins, CTO, an enterprise software engineer. SLOPE aims to reduce actuaries’ burden of manual administrative tasks. “The time it takes to complete a simple task, such as running and creating reports seems like a waste of time,” Smith comments. “Actuaries shouldn’t be doing work that isn’t actuarial work. I want to make something better than the tools currently out there.”

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Anthony R. O’Donnell // Anthony O'Donnell is Executive Editor of Insurance Innovation Reporter. For nearly two decades, he has been an observer and commentator on the use of information technology in the insurance industry, following industry trends and writing about the use of IT across all sectors of the insurance industry. He can be reached at [email protected] or (503) 936-2803.

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