Gradient AI is a leading provider of proven artificial intelligence (AI) solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation.

Gradient AI

Gradient AI is a leading provider of proven artificial intelligence (AI) solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. 

Unlike other solutions that use a limited claims and underwriting dataset, Gradient's software-as-a-service (SaaS) platform leverages a vast industry data lake comprising tens of millions of policies and claims.  It also incorporates numerous other features including economic, health, geographic, and demographic information. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. 

By using Gradient AI's solutions, insurers of all types achieve a better return on risk.

We are proud to have been chosen by Built In four years in a row, including three categories for 2024––Best Place to Work in Boston, Best Midsize Places to Work in Boston, and Best Midsize Places to Work Remote! Check out our page here: https://www.builtinboston.com/company/

Gradient AI was founded in order to address the need for state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) solutions for the trillion-dollar insurance industry. Our software-as-a-service platform uses AI to help commercial insurers automate and improve underwriting results, reduce claim costs, and improve operational efficiencies.

Our software and models are utilized by many of the world’s most recognized Insurance Carriers, MGAs, TPAs, Pools, PEOs and more. Our team of expert Data Scientists and Insurance Technology experts have an exceptional history of building wildly successful insurance technology companies, with the most satisfied customers in the industry. At GradientAI we focus exclusively on delivering measurable results for your underwriting and claims operations.

Forté Ventures

MassMutual Ventures

Stone Point Capital

American Family Ventures

Sandbox Insurtech Ventures

BSC Capital

Here's the 4th of 4 trends from Gradient AI's recent survey conducted among our 100+ customers, who represent a diverse range of insurance companies: knowledge preservation as a key solution to the insurance talent gap.

An overwhelming 62% of respondents strongly or somewhat agree that AI captures institutional knowledge and helps bridge the talent gap as aging workers retire and insurers struggle to find new talent to replace them.

Gradient AI’s Take: The acknowledgment of AI's role in knowledge preservation marks a key shift in talent management, positioning AI as a vital tool in preserving institutional knowledge and shaping future talent retention strategies within the insurance sector. 

https://lnkd.in/eB3V-BQz #talentgap #AIknowledgepreservation #futureofinsurance #insurers

Jeffrey M. Snider, Gradient AI's general manager of P&C recently joined WorkCompCollege.com's The Point Webinar for an informative session, "AI, Workers’ Comp, and Your Future."
 
The speakers explored how AI will change our workplace, and what it means for employers and insurers. Watch on-demand and gain some key insight into the potential of AI in workers’ comp.

#workerscomp #workcomp #propertyandcasualty #insurance #AIinInsurance Jackie Jackson David Langham Bob Wilson, BA, WRP, WRPA

Health insurance professionals: we are thrilled to launch Group Health Insights. In this new blog, we share perspectives, ideas, and insights on AI in the Group Health insurance industry. As AI moves into the mainstream, it's more important than ever for health insurers to have current information about how it is transforming Group Health Insurance underwriting. https://lnkd.in/ez73r_nb

Read a recent post by Jason Oswald, director of solution consulting at Gradient AI, about how big data and AI can help group health insurers improve underwriting, win new business, and optimally manage their book of business: https://lnkd.in/eWgbjUQq

#GroupHealthInsurance #underwriting #AIinInsurance #InsuranceInnovation #InsuranceThoughtLeadership #GroupHealthInsights

We're excited to announce Gradient AI's new blog, P&C Insights. We invite you to read our perspectives, ideas, and insights on AI in the Property & Casualty insurance industry as we address topics relevant for P&C professionals in workers' compensation, commercial auto, general liability and business owner's policy insurance. 

Read a recent post, AI Helps Underwriters Discern Risk with Greater Accuracy and Speed, Improving Outcomes and Driving Growth: https://lnkd.in/eeBA8KM9

#PropertyandCasualty #InsuranceThoughtLeadership #AIinInsurance #workcomp #workerscomp #underwriting


Here's trend 3 of 4 from Gradient AI's recent survey conducted among our 100+ customers, who represent a diverse range of insurance companies: AI’s impact on policy pricing is recognized by almost 50% of insurers surveyed, who see it as a strategic imperative for enhancing accuracy and customer satisfaction.

Gradient AI’s take: AI's ability to analyze vast data sets and external sources to evaluate risk is a game-changer for insurers. It allows them to price policies more accurately based on multiple key risk factors. This capability not only enhances accuracy but also ensures competitiveness and customer-centric pricing structures.

Interested in learning about the other trends? Click below to read the full survey results.

#AIinInsurance #insurers #FutureOfInsurance #InsuranceTrends #AIinUnderwriting

COM:GRADIENTAI

Gradient AI

name

homepage url

country

linkedin url

crunchbase url

employee count

sector

industry

monthly webtraffic

monthly webtraffic growth

Description

peer of

investor of

competitor of

Metrics