EyeGage
Atlanta, GA
HealthCare, Industry Safety
AWS Lambda, AWS Sagemaker, AWS Lambda, AWS RDS, AWS ECR, AWS S3, AWS Cloudwatch, AWS SNS. AWS API Gateway
EyeGage, a start-up company based in Atlanta, planned to go to market with its mobile application that uses machine learning models to detect recent drug/alcohol use from a simple scan of the eye. A key requirement was getting the front-end app and the models to work with Amazon SageMaker—the back-end cloud platform that enables app developers to create, train, and deploy machine-learning models.
“Our prototype worked well in AWS, and our models were already trained,” says Dr. LaVonda Brown, Founder & CEO. “But we needed help in exposing the models to SageMaker to ensure we could scale our services as user activity spikes.”
EyeGage first attempted to expose the machine-learning models by using internal resources. But without prior experience with SageMaker, working through the documentation proved difficult. As a participant in the AWS Impact Accelerator Program, which focuses on Black founders in the technology sector, Brown was then able to tap into personalized coaching and capital funding.
EyeGage allows workplaces and individuals to stay ahead of accidents with confidence—quickly and accurately screening for substances prior to operating life-threatening equipment like cars, cranes, and scalpels. EyeGage can be used to detect classes of substances such as alcohol, amphetamines, benzodiazepines, opioids, and marijuana because eyes look and behave differently when under the influence of these substances.
AWS referred EyeGage to Avahi. “Avahi immediately impressed us with their knowledge about machine learning models and their understanding of our business,” says Brown. “More importantly, they presented previous SageMaker projects they had taken on that were similar to what we needed. That gave us confidence Avahi could do the job.”
Avahi layered the code of the machine-learning models in SageMaker to expose them as a seamless API to end-users of the EyeGage mobile app. This included updating the models’ code so it can be exposed as an event-driven machine learning inference. Avahi also layered the models with additional services like AWS Lambda for serverless computing and Amazon API Gateway, a managed service that makes it easy to create and maintain APIs.
Founder, Bravo Foxtrot
