The most mature AI/ML companies have invested heavily in building their own AI Layers such as Uber’s Michelangelo, Google’s Tensorflow TFX, and Facebook’s FBLearner. This infrastructure is necessary for any tech company to scale AI/ML operations. Algorithmia’s Enterprise Services provides that infrastructure for your organization. We help you leapfrog the infrastructure development phase and enable you to deploy your AI, at scale.
"As someone that has spent years designing and deploying Machine Learning systems, I'm impressed by Algorithmia's serverless microservice architecture – it's a great solution for organizations that want to deploy AI at any scale."
Our engineers have focused on developing the capabilities that will enable you to finally see the ROI on AI. The AI layer is:
Every algorithm can be shared across your organization, according your permissions, and can be run with a simple REST API call—eliminating duplicate efforts.
Our serverless layer automatically scales up or down to meet fluctuating throughput needs and reduce costs.
Our AI layer is data agnostic, stack agnostic, and supports the 7 most prevalent coding languages eliminating any interoperability challenges. By also being cloud agnostic, we empower you to switch vendors at will while maintaining operability.
We specialize in operating in highly regulated industries and meet the most stringent government regulations.
"Algorithmia empowers U.S. Government agencies to rapidly deploy new capabilities to the AI layer. The platform delivers security, scalability and discoverability so data scientists can focus on problem solving."
The Tech industry has driven development of AI and ML capabilities and is therefore most exposed to the risks of poor infrastructure and faulty scaling capabilities. Algorithmia is positioned to help solve these challenges and to allow you to continue leading the way on AI, ML, and DL.
Algorithmia’s universal REST APIs, and compatible and composable AI layer allow each of your AI enabled solutions to be run by a universal REST API call. Furthermore, data scientists can publish functions as versioned API endpoints. Algorithmia Enterprise makes each version of a single function available as a unique REST API endpoint, concurrently, eliminating backward-compatibility challenges and breaking changes.
Our serverless layer lets you horizontally deploy and scale deep learning models over GPU clusters. The discoverable algorithm registry and automatically generated REST APIs allow data scientists to quickly find, run, and build on existing models.
Algorithmia’s compatible and composable AI layer allows your data scientists to work in Java, Scala, Python, Ruby, NodeJS, Rust, or R. The AI layer is stack agnostic and can be compatible with any configuration you choose to work with.
Our cloud agnostic processes and scalable and compatible AI layer pulls models and data from any cloud or combination of sources. As you transition from on prem to cloud (or between clouds) we can keep your AI deployment running smoothly. The serverless AI layer allows you to automatically scale in response to fluctuating needs thereby optimizing your hybrid clusters operations.
Algorithmia’s lineage, discoverability, API generation, security expertise, and advanced monitoring will keep you compliant with any regulations and can be updated in real time. Our advanced monitoring will allow you to monitor cluster-wide health metrics and user-specific audit trails, facilitating compliance with the EU’s GDPR.
How do you measure success?
How do you collaborate and innovate on AI within your organization?
How do you efficiently run and monitor your ever-evolving infrastructure?
For more information regarding AI challenges and how Algorithmia can help please check out some of the latest research below as well as our technical FAQ and blog posts regarding developing AI platforms.