Our tech gurus optimized WhyLabs’s frontend architecture and added a bit more flavour to their platform, which resulted in a $10M Series A raise.
WhyLabs is a startup based in Seattle that solves the problem of monitoring machine learning models, helping to deploy ML models in a safe and reliable fashion.
WhyLabs maintains an open-source library called WhyLogs, responsible for logging and monitoring structured and unstructured data by collecting large amounts of metrics used for model analysis.
Observatory is another product of WhyLabs that presents all of the collected data by WhyLogs in a useful way, giving users powerful statistics and features to track and detect machine learning model performance and anomalies.
The Observatory Platform is a fully automated SaaS platform allowing AI practitioners to monitor all of their ML models regardless of scale, with zero configuration necessary while maintaining a privacy-preserving approach.
WhyLogs is designed by data scientists, ML engineers, and distributed systems engineers to log data in the most cost-effective, scalable, and accurate manner. It can be installed in any Python, Java, or Spark environment.
Ensures that a model stays healthy and performs in production. Without the ability to inspect a model’s performance, data scientists and ML engineers cannot reliably vouch for their ML models.
React
TypeScript
D3
GraphQL
Apollo Graphql
Jest
Recoil JS
Node
Express
Docker
Nortik have been a great partner for us, helping us to build out a strong frontend team that have been critical to the success of our product.
VP of Product / WhyLabs Inc.
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