bot0 separates three things that usually get blended together: the free desktop harness, the paid shared workspace, and variable compute usage. That keeps the product accessible to students and individual researchers while making team and enterprise costs predictable.
Students, solo researchers, builders, and early experiments.
Small research groups that need shared context without a large platform commitment.
Active labs running recurring model, data, notebook, and agent workflows.
Biotech, pharma, clinics, and institutions that need controls and support.
1 Bytespace Credit equals $1 of usage balance. Credit purchases can include a visible platform fee that covers payment processing, usage tracking, routing, spend controls, and provider orchestration.
The seat plan includes a storage allowance for normal workspace artifacts. If a team starts hosting large scientific datasets, bot0 does not silently burn compute credits in the background. Admins choose how to handle the overage.
Each team plan includes pooled storage based on seats. Starter includes 25 GB/seat; Research Team includes 100 GB/seat; Business/Org starts higher.
Admins get warnings before the workspace reaches its storage allowance so a research run does not quietly become a surprise bill.
At the limit, admins choose: upgrade the plan, buy a storage add-on, explicitly pay overages with Bytespace Credits, connect external storage, archive, or delete data.
Very large datasets should move to customer-owned S3/R2/GCS or a Business/Org storage contract instead of default workspace storage.
Researchers with existing provider accounts can connect them and keep direct control of provider spend. BYOK and local compute should not require a Bytespace credit balance.
1 Bytespace Credit equals $1 of usage balance. Top-up fees are shown separately from the credit balance so the wallet stays easy to reason about.
Every organization has an isolated hosted backend and a storage allowance. Large datasets and heavy egress require admin approval, external storage, an upgrade, or a custom storage contract.
Digitalization projects, custom research setups, regulated deployments, and self-hosted environments are priced as services plus platform and usage commitments.
Most serious life-science, materials, chemistry, pharma, and clinical deployments need custom data pipelines, lab-specific workflows, security posture, deployment topology, and success support. Those engagements are not hidden inside low seat pricing.
workflow design, source connections, notebook and model routines, artifact structure, team onboarding
private backend, custom controls, governance policy, data foundation, lab and instrument integrations
BYO cloud storage, managed compute queues, on-prem or VPC deployment, regulated/self-hosted setup support
Tell us what you want bot0 to connect: models, data systems, lab workflows, compute, storage, security, and deployment requirements.
Storage pressure is a signal, but the real upgrade reason is operational maturity: budgets, governance, procurement, support, and data controls.
More storage, recurring projects, shared credit controls, project budgets, admin visibility, and active lab collaboration.
SSO, audit logs, procurement, annual billing, BYO storage, retention controls, priority support, and private data routing.
Custom lab workflows, digitalization projects, regulated deployment patterns, self-hosting, and annual usage commitments.
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