Transform your lab operations with an automation-native platform that seamlessly integrates instruments, robotics, and workflows with built-in intelligence, enabling high-throughput, high-quality R&D.
At the heart of modern research is the ability to scale operations without compromising quality. Abio Blaze is engineered with automation at its core, acting as the glue that brings your lab automation ecosystem together. It connects your robotic stations, liquid handlers, plate readers, analytical instruments and other hardware into cohesive end-to-end automated workflows, allowing you to run more experiments with greater consistency, 24/7.
Abio Blaze enables you to run more experiments with greater consistency. Our platform seamlessly integrates a vast array of instruments and robotic systems, reducing manual bottlenecks and allowing for high-throughput operations.
Minimize variability and reduce experimental error with robust, intelligent automation. Features like digital twin simulations for pre-run verification and automatic error detection ensure impeccable data quality and reliable results.
Respond dynamically to evolving research priorities with intelligent scheduling and resource management. Our platform supports multi-user operation and dynamic rerouting, allowing your lab to adapt quickly without compromising ongoing experiments.
Abio Blaze is a comprehensive solution for laboratory automation. It unifies all of your lab's automation hardware, data streams, and processes.
Easily create, customize, and manage complex automation protocols with a visual, no-code interface.
Gain unified command with seamless, vendor agnostic integration for hundreds of laboratory instruments and diverse automation hardware.
Validate and refine automation workflows in a virtual environment to predict bottlenecks and reduce errors before a live run.
Enhance data integrity and minimize failed experiments with proactive, AI-driven error detection and automated handling routines.
Minimize downtime and extend instrument life with AI algorithms that analyze operational data to predict maintenance needs for your lab equipment.
