Each job is placed according to data sensitivity, memory and GPU needs, deadline and budget, with the reasons for and against each option written down. If a reclaimable resource is withdrawn, the job is queued again; after two withdrawals it moves to resources that are not reclaimed.
Eleven community-standard pipelines covering variant calling, RNA-seq, single-cell, methylation, ATAC and ChIP, metagenomics, amplicon and protein structure prediction, at fixed versions with traceable sources.
Describe the job in a sentence and AI turns it into a compute plan for you to confirm. A REST API and an MCP endpoint let your own AI assistant list pipelines, check placement, submit requests and follow progress.
Describe it on the web, or let your AI assistant submit through the API.
We check the data type and the run plan by hand and send a written quote.
Nothing is scheduled until you accept; no charge if you do not.
We confirm where the data is, set the run parameters and hand it to the scheduler.
Progress, placement and the processing log are visible in your console; billing happens only when the run completes.
Price match: For compute resources of the same configuration and duration, if you get a lower written quote, we will match that price.
Tell us the pipeline, sample count and where your data sits; we reply within one working day to confirm the available resources, the quote and when you can start.