Pricing

Yes. Every team can start with a 14-day free trial with no credit card required and full feature access. You can connect your data, generate dashboards, and validate how AI-native analytics fits your reporting process before committing. This lets teams assess value quickly without a long procurement cycle upfront.

Yes. Self-hosting is available for teams that require tighter network control, internal infrastructure alignment, or stricter compliance requirements. Organizations can also deploy in VPC-based environments as needed. See our security page for the full set of controls.

Basedash pricing scales with practical usage drivers like seats and monthly active records, so costs track how your analytics program expands. Teams can start lean, then move up as adoption and reporting volume increase. For larger deployments, enterprise plans support higher scale and custom requirements.

Every plan comes with free monthly AI usage credits. Most AI actions count towards your usage, like asking a question in chat or generating a dashboard. If you go over your free monthly limit, you'll be charged usage fees on your next bill. You can track your usage in the Billing section of the app.

No. Basedash offers both monthly and annual plans so teams can choose the commitment level that fits their procurement process. You can cancel at any time, giving you flexibility as priorities and usage evolve.

Yes. Basedash supports enterprise procurement workflows, including security reviews, legal review cycles, and stakeholder sign-off processes. Security controls include SOC 2 Type II compliance, encryption in transit and at rest, and strict data access boundaries, and customer data is never used to train models. Teams can enforce role-based access controls, single sign-on (SSO with SAML and OIDC), SCIM user provisioning, and native audit logs, define trusted metrics, and deploy in self-hosted or VPC-based environments to meet internal network and compliance requirements. Learn more on our enterprise and compliance pages. This reduces friction from evaluation to production launch.