Generated by OpenAI DALL.E with text: A cartoon image for a computational platform for data management and serving AI modelsBioEngine is an agent-first platform: it connects browsers, microscopes, and AI agents to GPU compute over secure links, so a scientist can describe a goal in plain language and have an agent find, run, and adapt the right model for them. Built on Hypha (serverless RPC connectivity) and Ray (distributed task orchestration), it scales from a single laptop to multi-node GPU clusters with no code changes, and exposes agent-readable service interfaces so AI agents (such as Agent-Lens) can operate the whole platform. It integrates with the BioImage Model Zoo for FAIR, validated community models.
Nils Mechtel presented BioEngine at the Euro-BioImaging Data Days (2026) — watch the talk or browse the slides. The platform is described in our 2026 preprint, BioEngine: scalable execution and adaptation of bioimage AI through agent-readable interfaces.
The increasingly amount of data generated in life science poses challenges in managing and analysis. The conventional approach for storing and processing scientific data locally on workstations or laptops is failing to met modern needs in applications such as AI-powered image analysis. We would like to tackle the challenge by introducing the BioEngine platform, which is a computational platform consists of containerized services for scalable data management and AI model serving. It is a web platform built on top of the Hypha with an emphasis on serving models for bioimage analysis.
In this project, we aim to develop web services for providing flexible image data management solutions and also model serving in the cloud (private or public). The BioEngine is being used to support the test run feature in the BioImage Model Zoo website (also see the AI4Life project). We aim to provide deployment toolkit for users to setup their own server, either in an institutional Kubernetes cluster or a workstation. Under the AI4Life project, we aim to provide a standard for managing and sharing image data together with the BioImage Archive.
