Put the power of AI to work
without giving up control.

Replit Enterprise brings collaborative software creation together with centralized administration, enterprise security controls, and support. It is designed for organizations that need to manage access, AI usage, and spending across their teams.

Replit combines organizational access controls, audit logs, security scanning, and model governance. Enterprise teams can manage identity, permissions, and approved AI providers while remaining responsible for how they configure and use their applications.

Data handling depends on your Enterprise agreement, the features you use, and the model providers enabled in your workspace. Enterprise options include model-training opt-outs and, where supported, zero-data-retention endpoints for AI integrations. Review the applicable terms with Replit before processing sensitive information.

Yes. Replit Enterprise supports SAML single sign-on and SCIM provisioning, helping organizations manage authentication and automate user lifecycle management through their identity provider.

Enterprise pricing depends on your organization’s requirements, usage, and agreement. Contact the Replit team to discuss a plan for your team, including the security, support, and spending controls you need.

Yes. Replit Agent lets people describe what they want to build in natural language, making it accessible beyond engineering teams. Technical review and appropriate testing still matter before deploying business-critical software.

Replit for Business helps teams use AI agents to build software, automate workflows, and act on company knowledge. It brings people, agents, and approved tools together so teams can get work done while their organization maintains oversight.

A Self-Driving Company is an approach to work in which AI agents handle repeatable tasks while people set goals, define boundaries, and review important decisions. It does not mean removing human accountability or running every process without supervision.

Think of an Agent Habitat as a governed environment where agents, people, company context, and approved tools work together. It describes how an organization can arrange its AI workflows, rather than a promise that agents operate without oversight.

AI governance means setting clear rules for who can use AI, which models are available, and how work is reviewed. Replit Enterprise supports this through workspace administration, model controls, access management, and audit logs.

Replit has achieved SOC 2 Type 2 attestation. This independent assessment covers Replit’s security controls; it does not automatically certify applications built on the platform.

Available models depend on the Replit feature and your workspace configuration, and the selection can change over time. Enterprise admins can control which supported providers and models are available to their workspaces.

Use the Usage dashboard to understand spending by member, project, or resource, then use those trends to estimate future needs. Budgets, usage limits, and Enterprise per-user spending controls help teams manage costs; forecasts should account for changes in activity.

Yes—with clear permissions, approved tools and models, spending limits, and human review where it matters. Start with a bounded workflow, define who is accountable, and expand only after you understand its results and risks.

Choose one repetitive workflow with a clear owner and a measurable outcome. Give the team the minimum access it needs, build and test a small version, and keep people involved in consequential decisions. Use what you learn to expand gradually.