– Case Study –

Damage Assessment for Automotive Insurance Claims

AI based automotive damage assessment claims startup required highly accurate point/image classification


An AI based automotive damage assessment claims startup needed to provide more precise automated claim outcomes on their platform. The complexity of understanding diverse damages across a variety of car models is a tedious process. It is further complicated by models needing to also assess the severity of damages and connect its assessment to the underwriting process.

10k+ Images Classified Per Week

image annotation for computer vision by Innodata



Innodata leveraged its AI-enabled platform and deployed a team of five specialists to provide point/image classification of over 10,000 images per week. Because of their extensive experience in auto claims adjustment, the specialists were able to provide labeled data at a very high granularity, in real time, and help refine client taxonomy. 


By integrating Innodata’s combination of machine learning and humans-in-the-loop into their workflow, this startup was able to significantly reduce time and save money on resolving claims. 

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(NASDAQ: INOD) Innodata is a global data engineering company delivering the promise of AI to many of the world’s most prestigious companies. We provide AI-enabled software platforms and managed services for AI data collection/annotation, AI digital transformation, and industry-specific business processes. Our low-code Innodata AI technology platform is at the core of our offerings. In every relationship, we honor our 30+ year legacy delivering the highest quality data and outstanding service to our customers.


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