What it costs

SaaS Factory is live and actively being used: 29 products are running on the platform today, and 257 features have been shipped to this product alone through the autonomous pipeline. That said, we are transparent that the platform is under continuous improvement. Some capabilities — including social media publishing, interactive live sandbox, and certain mobile UX refinements — are built out in the data layer but not yet fully surfaced in the UI. We ship improvements on a regular cadence, and the product you evaluate today will be measurably more capable within weeks.

No. AI agents write, test, review and maintain all of the product's code, and no human is expected to read or edit it. You work from a dashboard written in plain English and see outcomes, not the underlying machinery.

The platform runs a full team of specialist AI agents — covering research, architecture, implementation, testing, release, marketing, security, CRM health scoring, churn prediction, revenue analytics, support ticket routing, and more. Each pipeline cycle, agents discover feature opportunities, write and test code, open pull requests on your GitHub repository, and deploy via Vercel. You retain control through configurable approval gates: you can require a human sign-off before any merge, or allow fully autonomous shipping. The agents amplify your team's capacity — they do not replace human judgment where you choose to keep it.

The agents look for the opportunity in your idea, write a specification, implement and test the features, then merge and release them. They also generate and publish the product's marketing site, then keep improving the product in repeated cycles.

Every product runs in its own project scope, and access control is enforced at multiple layers. Role-based permissions govern which team members can read or modify each project. Environment variables and credentials are encrypted at rest. We are actively rolling out row-level security across tenant-keyed database tables as a defence-in-depth measure. GitHub tokens, SSO credentials, and integration secrets are stored with version-prefixed encryption so keys can be rotated without data loss. Full details on our security architecture are available on request.

Yes. Autonomy is configurable, and you can set veto windows that give you time to block a release. These approvals can be dialled down to zero, since the goal is to remove them as the agents prove reliable.

Every deployment is tracked with a full release record linked to the originating pipeline run and GitHub commit. You can configure approval gates to require human review before any merge reaches production. If a problem does make it through, the release history gives you the commit reference needed to revert — and a one-click rollback UI that triggers a GitHub revert and Vercel redeploy is on the active roadmap. Recurring pipeline failures are automatically surfaced as high-priority features in the queue after three occurrences, so the platform escalates problems rather than silently ignoring them.

Every product is born onto shared infrastructure: user accounts and organisations, transactional and inbound email, custom domains, connections to third-party APIs, error monitoring, GDPR handling, its own MCP server, and background job orchestration. None of this has to be set up by the owner.

The dashboard streams live agent activity via a real-time pipeline detail view, including per-agent job status, log output, and token usage per run. A notification bell in the dashboard header surfaces failed pipelines and pending approvals so nothing goes unnoticed. Token usage and estimated cost data are tracked at the agent-job level in the database. A dedicated cost-breakdown dashboard that shows spend by agent type and by product is on the active roadmap — details available on request for teams with specific budget-visibility requirements.

Sibling products in the suite handle them. SF Revenue runs plans, subscriptions, usage metering and Stripe payments. SF Growth covers brand, SEO, launch and the sales CRM, and SF Success runs support tickets, knowledge bases, feedback and legal terms.

GitHub is the core version-control integration: agents open branches, commit code, create pull requests, and respond to CI results against your repositories. Vercel handles automated deployment, with environment variable sync and deploy-hook triggering built in. Notification channels include email, Slack webhooks, and Discord webhooks, configurable per product and per event type. Connections to additional services — including OAuth token management and environment variable validation against external APIs — are managed through the platform's encrypted environment settings. An MCP (Model Context Protocol) integration layer to connect agents to a broader ecosystem of external tools is on the roadmap.

On a managed cloud stack made up of Vercel, Neon and Temporal Cloud. Self-hosted and on-premise deployment are not offered.