Dreyev is on a mission to prevent crashes by offering fleets and insurers an in-vehicle dual camera, a digital copilot that evaluates drivers for risky behavior. Powered by machine vision, dreyev platform analyzes driver conditions such as eyelid closure and head pose to detect distracted or drowsy driving and issues interactive alerts. Unlike most existing driver attention monitoring solutions, dreyev creates personalized driving behavior models, it anticipates upcoming risks and generates real-time urgency-triggered alerts.
Dr. Maggie Stys Founder and CEO of TeleLingo/Dreyev
Dr. Eng. Roberto Sicconi Founder and CTO of TeleLingo/Dreyev
Insurdata intelligently captures, enhances, scores and transfers high-resolution, peril-specific exposure and risk data. Our mission is to provide re/insurers with granular exposure data at the individual risk level, accessible in real-time at any point in the re/insurance chain. That heightened granularity enables more accurate pricing, supports targeted underwriting and means better informed risk assessment decisions.
OnRisk is an insurtech startup that provides a digital platform for structuring high-value property & casualty (P&C) risk, which arises from natural catastrophes, terrorism, aviation & space, cyber liability, product liability and other major global exposures.
Stable (stableins.com) is creating insurance products to disrupt the rideshare insurance marketplace and make getting on the road simpler and safer for vehicle owners. The digital solution offers instantaneous quotes and coverage, a seamless payment system and an automated claims process to fulfil driver’s expectations in the digital age. Our value proposition to reinsurers is a new distribution channel and cost savings on underwriting and claims administration to reduce loss ratios in this quickly growing market.
RozieAi delivers personalized customer care and knowledge management experiences, built on its state-of-the-art language understanding and contextual insights platform. The company’s mission is to partner with organizations to remember a customer’s narrative across their interactions with a brand, and engage with pertinent information, support, and proactive advisory. Core applications include conversational engagement, contextual customer insights, cognitive document processing, and engagement advisory for service operations. In 2018, RozieAi was awarded the ACORD InsurTech Innovation Challenge Award and the Travelers Innovation Prize.
True Flood Risk, www.truefloodrisk.com, is an insurtech geolocation intelligence software solution developed specifically for the flood insurance industry. True Flood Risk utilizes a proprietary machine learning algorithm, artificial intelligence platform and API data feeds to calculate first floor structural elevation (FFE) of residential and commercial properties. With the True Flood Risk smartphone app, users can utilize an augmented reality tool to measure their property’s true FFE, determine the respective National Flood Insurance Premium (NFIP) based on the respective property height and connect with insurance professionals in their area for more information. For enterprise users, True Flood Risk developed a SaaS based solution for re/insurance carriers requiring a larger volume of address look ups.
TensorFlight builds a database of all buildings in the world, providing features like building footprint, number of stories, construction type or square footage. Our data is focused on commercial property insurance, but it is also relevant for other industries.
If you are a property insurer TensorFlight can help you with:
Straight through processing: By utilizing our AI expertise to fully automate the underwriting process you can greatly increase profits, scalability and customer satisfaction.
Underwriting: Reduce premium leakage by highlighting areas to investigate for an underwriter – e.g. potential building degradation.
Reinsurance: No longer get hindered by agents, brokers or property owners sending you faulty information. Better understand catastrophic risk by understanding factors like number of stories and construction type.
Risk: Better understand exposure of your portfolio. Proactively monitor changes to the property, even after the policy is sold.
Enter new markets: Do not let lack of accurate building data or experienced loss control engineers stop you from expanding your property insurance business to new countries.