Only 3 pilot collaboration spots remaining

Scale compute, manage environmentswith a pilot collaboration

Pilot collaborators get subsidized cloud infrastructure and up to 25% off ongoing compute costs. Run full cohort analyses on VMs up to 4 TB RAM with no DevOps setup, no cluster sysadmin, no queue delays.

Already collaborating with
ETH Zurich
University of Zurich
Vilniaus UniversitetasVilniaus
Universitetas
+15 institutions
≤25%
Off cloud infrastructure
subsidized for pilot partners
4–6 mo
Structured collaboration
not a trial, a partnership
4 TB
RAM per job
scale to your needs
Direct
Founding team access
not a support ticket
Pilot benefits

What you receive

Run workflows on subsidized infrastructure

Pilot partners receive subsidized cloud compute and up to 25% off ongoing infrastructure costs. VMs up to 4 TB RAM, no billing surprises, no cloud account setup. You focus on science, we handle the rest.

Reproduce any result, satisfy any reviewer

Every run automatically captures environment, inputs, and parameters. Reproducibility artifacts are generated, not documented. Share complete analyses with one link.

Direct line to the founders

Not a support ticket system. Not a chatbot. Hands-on onboarding, direct Slack access, and ongoing technical support from the people who built the platform.

Shape the product with your feedback

Your workflows, your pain points, and your feature requests all directly influence what gets built next. Early adopters get outsized influence on the product roadmap.

Researchers lose an average of 16% of their work time to environment conflicts, broken Conda stacks, and compute queues. A lab on Thoa reproduces any result in minutes, not weeks, and scales to terabyte jobs without a sysadmin. Is your team on the right side of this gap?

During the pilot

Example workflows that can run

RNA-seq pipelinesMetagenomics workflowsVariant calling pipelinesCustom Snakemake / Nextflow workflowsPython, Bash, and R-based analysis pipelines

Supported tools

SnakemakeNextflowConda / BiocondaPythonRBash
thoa workbench
Pilot structure

How the collaboration works

A structured engagement designed to fit into your existing research operations.

1
Week 1

Apply + onboarding call

Tell us about your team and workflows. We schedule a hands-on onboarding session to get your first pipeline running on Thoa.

2
Weeks 2–4

Migrate and test

Run real datasets and production workflows on the platform. We provide dedicated support as you bring your existing pipelines over.

3
Months 2–5

Run in production

Use Thoa for ongoing research. Provide structured feedback. We iterate on features based on your real-world usage.

4
Month 6

Joint evaluation

We assess reproducibility improvements, operational fit, and cost savings together. You decide whether Thoa becomes your long-term infrastructure.

What you receive

  • Subsidized cloud infrastructure
  • Up to 25% off ongoing compute costs
  • Dedicated onboarding and technical support
  • Direct influence on product development

What we ask from pilot partners

  • Use Thoa with real scientific workflows
  • Provide structured feedback during the pilot
  • Participate in occasional check-ins with the team
  • Evaluate whether Thoa could support your long-term infrastructure

Who this program is for

  • Academic research laboratories
  • Bioinformatics core facilities
  • Biotech and startup R&D teams
  • Computational biology groups working with large datasets
Ideal: teams running reproducible pipelines or looking to improve reproducibility and scaling.
From early users

What researchers are saying

Built with scientists, not just for them.

Beyond providing powerful computing infrastructure at a very reasonable price and being very easy to use, Thoa's main value proposition is the handling of traceability and reproducibility of pipelines. For the computational biology community this is still a pain point, and Thoa is certainly poised to fix it.

Dr. Giancarlo Russo

Dr. Giancarlo Russo

Head of Bioinformatics Core Facility, Vilnius University

In my work, we often struggle to reduce budgets around data management and efficiency of data organization in a compliant manner. The way Thoa integrates data from heterogeneous sources in a reproducible manner is really helpful.

Dr. George Kazantzidis

Dr. George Kazantzidis

Biostatistician, Roche

Collaborating across organizations and institutions on large datasets in a manageable way is always a challenge. Thoa's native collaboration features are something I have greatly appreciated.

Falko Noe

Falko Noe

Bioinformatician, ETH Zurich

It takes 20 seconds

Apply today for a pilot collaboration!

3 quick steps. No commitment. We'll reach out within 48 hours.

What type of team are you?

Click one. This helps us tailor the pilot to your needs.