From few-shot microscopy to phenotypic screening, get production-ready models without the usual labeling burden. Start standalone, then integrate into the lab stack where it helps.
What We Offer
Production-ready detection, segmentation, classification, and tracking. Trained on as few as 1-5 datapoints. Available as a standalone workflow, Docker or ONNX service, or a LabVIEW or MCP-connected lab component.
Purpose-built for high-content screening. Replaces CellProfiler pipelines, turning months of work into minutes. Available as a standalone product or an integrated screening layer inside existing platforms.
Deployment and Integration
Run the configured model as a scientist-facing workflow for detection, tracking, quantification, and phenotypic screening decisions without replacing the rest of the lab stack.
Package the models as Dockerized services or ONNX-based deployments, and connect them to image stores, LIMS or ELN systems, or LabVIEW-controlled instruments where relevant.
Expose the model layer to existing AI agent frameworks via MCP for assay triage, similarity search, orchestration, or report preparation without replacing current lab systems.
Full Stack
Technical FAQ
Get Started
Two production-ready AI products, available off-the-shelf. Deploy them as standalone assay workflows or integrate them into existing lab stacks via Docker, ONNX, LabVIEW, or MCP where relevant.
No dataset, no infrastructure, no problem. We build custom AI solutions from scratch, from data collection to model deployment. If it can be solved with AI, we'll find a way.