Attri’s AI Engine helps organizations build their custom in-house ML platform at a fraction of the time & cost it takes in building it from scratch.
Composed of 3 core layers—Stack, Pipeline, and Infra—the AI Engine can be set up in limitless configurations to enable teams to leverage new and existing tools seamlessly on any cloud.
is the customizable layer that brings together the best-in-class tools to enable ML and data science teams to run AI experiments, train models, and deploy ML at scale, abstracting the underlying complexities.
With end-to-end observability of ML, practitioners have full visibility and explainability into models' performance in the real world.
This is a non-exhaustive list of our go-to tools. Our research team spends hours evaluating and benchmarking the latest ML research papers, frameworks, and tools.Read more about our research
layer leverages software engineering’s best practices to structure data science code into a reproducible, maintainable, and scalable set of code blocks that can be easily mod from training to the production environment.
With integrations into the existing data science workflows, it allows for teamwork and the ability to scale AI efforts within an organization.
layer adopts the best practices in infrastructure management for abstraction, scalability, and continuous deployment for entire data engineering and ML flows.
By leveraging Infrastructure-As-A-Code (IaaS) services can be easily spun up in minutes without waiting on a DevOps team to provision resources everytime.
With the entire AI engine being cloud-native, the execute layer allows running all the components on a infrastructure provider of your choice: Azure, GCP, AWS, or a baremetal server.
Why teams love Attri’s AI Engine
Faster time to market
Achieve repeatable & standardized MLOps processes across the team to increase model shipping velocity from months to days.
- Attri's Managed Saas
- Public cloud (AWS | GCP | Azure)
- On-prem / edge
Customized & no vendor lock-in
Use vour preferred set of tools across open source and commercial offerings and integrate it within the platform
Do more with a lean team. Attri can provide support across the entire MLOps lifecycle so that you can focus on generating business value.
Gain visibility into real-world ML performance by continuously monitoring, explaining outcomes, and assessing fairness.
Break down silos, eliminate duplicated
efforts, and increase productivity with the entire team on a unified platform