Automation pipelines,
built for data engineers
Build automation pipelines in a serverless environment to significantly reduce your data processing costs.
build
Build event-driven data pipelines using our function and module catalog with drag & drop ease.
automate
Seamlessly integrate ML models for pre-labeling datasets or custom functions for pre-processing.
run
Run compute workloads and access cloud resource with functions
NO-CODE EASE OF USE
Automation Pipelines
Create custom data automation pipelines using a no-code drag-and-drop interface or through a developer-friendly Python SDK to weave together human and machine workflows. Develop your ML pipelines or create human-in-the-loop data validation to scale production.
automation
Reduce cost and time by applying a suite of automation, pre-labeling and active learning.
qa/qc pipelines
Ensure highest data quality by running auto- QA pipelines for ground truth validation.
pipelines templates
Ready-to-use automation pipelines for various use cases and verticals.
no-code builder
Customize data pipelines with a drag-and-drop interface.
human workflows
Weave human and machine into a single flow for data preparation and validation.
compute resources
Run your ML workloads on ready-to-use Serverless infrastructure.
Production pipelines capabilities
Custom Plugins
Build your own plugins with our Python SDK, including built-in triggers for running and auto-scaling functions. Bootstrap and manage plugins using our interactive CLI, including auto-completion of commands and parameters
Custom Pipelines
Assemble event-driven automation pipelines for running pre and post processing functions, integrate models into annotation workflows, deploy models in production and introduce a human-in-the-loop for data validation
Serverless Data Applications
Build, operate and deploy automation pipelines at scale with our Kubernetes-powered environment. All compute infrastructure can be handled by us for unlimited auto-scaling
Low-Code Automation Pipelines
Our highly-scalable distributed system balances data and queries across a cluster of cloud instances or commodity hardware for maximum performance, concurrency and availability.
Explore more of our platform
Annotation
platform
An end-to-end cloud-based annotation platform, with embedded tools and automations for producing high-quality datasets more efficiently.
Learn more
Data
Management
Manage, collaborate, distribute and utilize your data operations, all integrated seamlessly and managed via single point of access.
Learn more