SolvestatSolvestat solves that

Pricing built to scale with your organization, not with the statistics engine itself.

At Solvestat, we believe statistics should be free. Thus every plan includes our complete statistical engine. As your needs grows, higher tiers unlock more capacity: additional datasheets, more storage, and the connectors, automation, and collaboration tools built for larger teams.

Plan comparison

Contact our sales team for Enterprise pricing.

FeatureFreeStudentRegularProRecommendedEnterprise
Price$0forever$5/ month, student email$25/ month$40/ monthCustompooled by team size
Datasheets1310100Custom
Projects12515Custom
Max file size1 MB5 MB100 MB500 MBCustom
Account storage limit1 MB10 MB500 MB5 GBCustom
Solvestat AINoNoLimited
Coming soon
Coming soonComing soon
Data connectorsNoneGoogle SheetsGoogle SheetsGoogle SheetsAPIs coming soonGoogle SheetsAPIs coming soon
Cloud computeNoNoNoComing soonComing soon
CollaboratorsCollaborators off1 Datasheet4 Datasheets10 DatasheetsCustom
Automation workflowsNot includedNot includedBasic workflowsFull workflow builderCustom workflows
Export brandingSolvestat footerSolvestat footerSolvestat footerUnbrandedUnbranded
Scheduled reportsNot includedNot includedNot includedComing soonComing soon

A detailed overview of every plan feature.

Definitions for each feature listed in the comparison above.

Price

Subscription cost

Free is available at no cost, indefinitely. Student, Regular, and Pro can be billed monthly or annually. Annual billing charges the yearly amount upfront and saves $9, $45, or $72 per year depending on plan. Enterprise pricing is quoted per organization, based on seats and usage.

Datasheets

Active datasets per account

A datasheet is a working dataset within Solvestat, including its rows, columns, and all derived results. This figure reflects how many can be maintained concurrently, not a lifetime limit.

Projects

Organizing work across datasheets

A project groups related datasheets, analyses, and reports under a single workspace. This figure reflects how many projects can be maintained concurrently on your plan.

Account storage limit

Total capacity for account data

Covers all data associated with your account: datasheets, uploaded files, and generated reports. Higher tiers provide additional capacity before archiving or deletion becomes necessary.

Max file size

Per-upload file size limit

This limit applies to individual uploads and is separate from total storage capacity. It determines whether a single large file can be opened and processed directly within Solvestat.

Data connectors

Direct integration with external data sources

Connect Google Sheets so a datasheet stays synchronized with its source rather than requiring repeated manual imports. SQL databases and API connectors are coming soon.

Collaborators

Shared access across teams

Collaborators enable a datasheet to be shared with another user. Teams are shared workspaces with their own projects and permissions; this figure reflects how many teams an account can participate in.

Automation workflows

Repeatable analysis pipelines

Save a sequence of cleaning, testing, and reporting steps and re-run it automatically on new data, eliminating the need to rebuild the same analysis repeatedly.

Export branding

Report attribution

Free and lower tiers include a Solvestat footer on exported reports. Pro and Enterprise remove this attribution, and Enterprise accounts may apply their own branding instead.

Scheduled reportsComing soon

Automated report delivery

Configure a recurring cadence, weekly, monthly, or upon data update, and Solvestat generates and delivers the report without manual intervention.

Solvestat AIComing soon

Automated interpretation of results

Solvestat AI reviews test output, explains its practical meaning, flags assumptions that warrant review, and recommends a next step, making results actionable regardless of statistical background.

Cloud computeComing soon

Server-side processing for larger workloads

Runs computationally intensive analyses on Solvestat's infrastructure rather than the local device, allowing larger datasets and more demanding models to be processed reliably.

Not sure which plan fits?

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