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Case Studies

Discover how Innodata help the world’s leading technology companies and enterprises drive AI innovation.

Text Annotation for Conversational AI_Innodata

Travel Aggregator Deploys AI Booking Assistant Chatbot

Leading travel aggregator and booking engine required highly accurate datasets for a booking assistant BOT that operates in multiple languages

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image annotation for computer vision by Innodata

Damage Assessment for Automotive Insurance Claims

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

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aerial photography labeling by innodata

Video Annotation to Automate Global Supply Chains

Multi-sensory aerial tracking company required 98% accurate video annotation to improve the prediction of its AI engine

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Innodata Web Scraping & Monitoring For News Aggregator

Web Scraping and Monitoring For News Aggregator

Leading news aggregator requires continuous web scraping and monitoring of over 100,000 websites

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Satellite Image Annotation for Oil and Gas Discovery - Innodata Inc.

Satellite Image Annotation for Oil and Gas Discovery

Global analytics provider required pristine datasets to help oil and energy companies identify potential mining sites.

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Social Media Monitoring Suicidal Intent CS sm

Social Media Monitoring for Suicide Intent​

A government agency needed an AI solution to accurately assess public opinion on the topic of suicide through the analysis of online social media feeds.

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Online Gaming Platform Powers Down Inappropriate Content

Online Gaming Platform Powers Down Inappropriate Content

A leading online gaming platform needed help reviewing vast amounts of chat logs line-by-line to determine if the content is appropriate for its all-ages audience.

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Photo by ben o'bro

Data Extraction for Mergers and Acquisitions Analytics

Leading financial intelligence company requires automation to provide hourly updates on deals.

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Continuous Learning for Context Recognition in Images

Continuous Learning for Facial Recognition in Images

On-demand, flexible, and scalable data annotation team delivers near real-time judgments on the accuracy of the model’s predictions. Annotators must distinguish key features and vote on whether they match the model generated recommendation. Each photo is initially voted on by two annotators…

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