Driving Innovation Through Digital Engineering Solutions
DEFII is an end-to-end digital product and platform engineering capability designed for insurtechs and insurers. Tech Mahindra’s DEFII allows insurtechs and insurers to focus on their core strengths while delivering innovation with agility, speed, and a proven execution model. It enables insurtechs to rapidly scale execution leveraging deep product engineering and integration experience.More
DEFII is an end-to-end digital product and platform engineering capability designed for insurtechs and insurers. Tech Mahindra’s DEFII allows insurtechs and insurers to focus on their core strengths while delivering innovation with agility, speed, and a proven execution model. It enables insurtechs to rapidly scale execution leveraging deep product engineering and integration experience. With DEFII, insurtechs can go beyond the minimum viable product (MVP) and develop comprehensive product designs that caters to the needs of complex enterprise implementations. DEFII empowers Insurers to accelerate innovation, embed new ways of working with squads bringing deep expertise in re/engineering core insurance products, platforms, and ecosystems.
LessOur Services
Industries we Serve: Insurance
Our 20 years of deep domain experience covers
Underwriting Innovation
Engineering of market leading, fully automated, digitally advanced life insurance underwriting platform
Cyber Protection
End to end personal cyber insurance solution with vulnerability assessment, cyber protection, and cyber insurance coverage
Reinsurance Automation
Fully automated facultative reinsurance platform with over a billion transactions processed
Digital Enablement
Omni-channel digital experience platform enabling self-service, straight through journey definitions with advanced analytics
Risk Solutions
Natcat, risk engineering and assessment platforms, treaty system, and claims solutions
Global Expertise
With rich talent across Spain, Latvia, Cyprus, and India, we are able to execute the most complex projects with simple execution models
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