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Natural Disasters: How can AI help?

In this Inside AI podcast, Jimmy Spears, Brad Cowan and Giacomo Mariotti to explore the role of AI in responding to – and preventing – natural disasters.

Tractable, the artificial intelligence company for accident & disaster recovery, today announces a new partnership with Mitchell, a leading provider of technology, connectivity and information solutions to the Property & Casualty (P&C) claims and Collision Repair Industries. This allows North American automotive insurers to produce collision repair estimates automatically from photos.

Tractable’s AI acts as a human appraiser, using proprietary computer vision to examine photos of vehicle damage and return a list of part-level repair operations seconds after photos are submitted. When combined with Mitchell’s collision repair data, the result is a repair estimate – produced in seconds from anyone’s smartphone – which a repairer can start to work from and upon which claims can be settled.

By employing this technology across the auto insurance claims journey – from understanding damage at first notice of loss (FNOL) to performing repairs – multiple days and manual touchpoints can be cut out from the accident recovery process. For the driver, the result is a simpler experience that instead of taking days or weeks can take minutes to complete on their phone.

Alex Dalyac, co-founder and CEO of Tractable, said: “We’re excited to combine our solutions to accelerate accident recovery. Mitchell’s collision repair data and industry expertise are known to be a reference in North America, as are their affiliate’s GT Motive in Europe. Insurers now have access to a solution that is best of breed on both AI and repair estimatics. The Tractable-Mitchell band is here and ready to rock.”

Olivier Baudoux, senior vice president of global product strategy and AI at Mitchell, said: “By collaborating with Tractable, bringing them into our Mitchell Intelligent Open Platform, and combining Tractable’s AI engine with Mitchell Intelligent Estimating, customers can access an advanced, turnkey solution.

 

Tractable, the artificial intelligence company for accident & disaster recovery, today announces a new partnership with Mitchell, a leading provider of technology, connectivity and information solutions to the Property & Casualty (P&C) claims and Collision Repair Industries. This allows North American automotive insurers to produce collision repair estimates automatically from photos.

Tractable’s AI acts as a human appraiser, using proprietary computer vision to examine photos of vehicle damage and return a list of part-level repair operations seconds after photos are submitted. When combined with Mitchell’s collision repair data, the result is a repair estimate – produced in seconds from anyone’s smartphone – which a repairer can start to work from and upon which claims can be settled.

By employing this technology across the auto insurance claims journey – from understanding damage at first notice of loss (FNOL) to performing repairs – multiple days and manual touchpoints can be cut out from the accident recovery process. For the driver, the result is a simpler experience that instead of taking days or weeks can take minutes to complete on their phone.

Alex Dalyac, co-founder and CEO of Tractable, said: “We’re excited to combine our solutions to accelerate accident recovery. Mitchell’s collision repair data and industry expertise are known to be a reference in North America, as are their affiliate’s GT Motive in Europe. Insurers now have access to a solution that is best of breed on both AI and repair estimatics. The Tractable-Mitchell band is here and ready to rock.”

Olivier Baudoux, senior vice president of global product strategy and AI at Mitchell, said: “By collaborating with Tractable, bringing them into our Mitchell Intelligent Open Platform, and combining Tractable’s AI engine with Mitchell Intelligent Estimating, customers can access an advanced, turnkey solution.

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Inside AI explores business opportunities within artificial intelligence through conversations with those who know the industry best. From computer scientists pushing the technical envelope to the business leaders building it into their products, we meet the people that matter in applied AI.

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