Individuals and small teams
Ideal for proving value quickly with minimal coordination overhead.
Beta
Join the beta with a clear evaluation objective
Join the Overshow beta and tell us how you or your team plan to use local-first organisational memory.
Early accessFast onboardingDirect product feedbackPilot outcomes
Evaluation flow
How beta onboarding typically works
- 1
Submit your evaluation context
Share your role, team setup, and first outcomes you want to improve.
Outcome: Faster qualification and route matching.
- 2
Align on initial use case
Start with one concrete workflow where context quality has visible operational impact.
Outcome: Measurable early value.
- 3
Run guided first-week usage
Install quickly, confirm privacy defaults, and validate day-to-day usage patterns.
Outcome: Clear signal on fit and adoption potential.
- 4
Decide next commercial path
Continue on standard pricing or move to enterprise planning as requirements grow.
Outcome: Low-friction path to scale.
Best fit for beta
Teams that usually move fastest in beta
Pragmatic evaluators
Teams focused on practical outcomes, not speculative feature exploration.
Privacy-conscious operators
Organisations that need local-first workflows before wider AI rollout.
Evaluating for 50+ potential users?
Use the enterprise route for structured rollout support, governance alignment, and pilot planning.
Beta application
Tell us how you plan to evaluate Overshow
Join the beta
Beta is suitable for individuals and small teams who want to validate Overshow in live work.
What to expect:
- Early access to core capabilities
- A direct feedback loop with the product team
- Practical guidance for setup and first-use workflows
If you are evaluating for a larger organisation, use Enterprise enquiry instead.