The most advanced ML Observability platform
Building an ML platform is nothing like putting together Ikea furniture; obviously, Ikea is way more difficult. However, they both, similarly, include many different parts that help create value when put together. As every organization sets out on a unique path to building its own machine learning platform, taking on the project of building a […]
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We’re excited 😁 to share that Forbes has named Aporia a Next Billion-Dollar Company. This recognition comes on the heels of our recent $25 million Series A funding and is a huge testament that Aporia’s mission and the need for trust in AI are more relevant than ever. We are very proud to be listed […]
Learn about the ways our customers use Aporia.
Sixt is a leading international mobility service provider, founded in 1912 and headquartered in Pullach, Germany. The company offers car rental, leasing, and ride-hailing services, as well as innovative mobility solutions to meet the changing needs of customers.
BSH is a leading player in the global home appliance industry, offering a range of products under renowned brands. The company is committed to delivering innovation and quality to improve the daily lives of consumers.
Munich Re is one of the largest reinsurance companies in the world, established in 1880. It provides insurance services for property, casualty, and life and health risks across the globe, with a focus on developing innovative solutions to manage risk.
“As a company with AI at its core, we take our models in production seriously. Aporia allows us to gain full visibility into our models’ performance and take full control of it.”
“ML models are sensitive when it comes to application production data. This unique quality of AI necessitates a dedicated monitoring system to ensure their reliability. I anticipate that similar to application production workloads, monitoring ML models will – and should – become an industry standard.”
“With Aporia’s customizable ML monitoring, data science teams can easily build ML monitoring that fits their unique models and use cases. This is key to ensuring models are benefiting their organizations as intended. This truly is the next generation of MLOps observability.”
Sunbit is a fintech company that provides point-of-sale financing for retail purchases. The company’s technology allows customers to split the cost of their purchases into manageable installments, offering an alternative to traditional credit options and enabling them to access the products they need today.
Klue is a technology company that provides organizations with competitive intelligence solutions. Its platform collects and analyzes vast amounts of data to provide real-time insights and strategic recommendations, helping companies make informed decisions and stay ahead of their competitors.
Paxful is a peer-to-peer cryptocurrency marketplace that enables individuals to buy and sell Bitcoin and other digital assets with each other directly. It offers a secure and user-friendly platform for its users to carry out these transactions.
“ML predictions are becoming more and more critical in the business flow. While training and benchmarking are fairly standardized, real-time production monitoring is still a visibility black hole. Monitoring ML models is as essential as monitoring your server’s response time. Aporia tackles this challenge head on.”
“We develop and deploy models that impact students’ lives across the country, so it’s crucial that we have good insight into model quality while ensuring data privacy. Aporia made it easy for us to monitor our models in production and conduct root cause analysis when we detect anomalous data.”
“As an early stage startup, starting to launch ML models in the fintech sector, monitoring the predictions and changes in our data is critical, and Aporia has made it easy by providing the right integrations and is easy to use.”
