One organized slate
Keep films, series, episodes, source versions, coverage, and workflow artifacts under the titles they belong to.
Prescene connects screenplay sources, revisions, series, coverage, workflows, and shared results so development and production teams can work from the same material without flattening every project into files and summaries.
Custom capacity, invoicing, security controls, and deployment support are available.
Prescene gives teams a durable operating layer between the scripts they receive and the development or production decisions they need to make.
Keep films, series, episodes, source versions, coverage, and workflow artifacts under the titles they belong to.
Use organizations, teams, roles, permissioned artifacts, SSO, and organization-level usage visibility for controlled collaboration.
Build custom workflows and connect approved internal tools or external assistants through configured MCP and API deployments.
A studio deployment should reflect the slate, decision process, security requirements, and systems already in place.
Identify the teams, material types, volume, security requirements, and first decisions Prescene should support.
Set organization access, SSO, capacity, workflows, and any approved connected-tools deployment.
Begin with coverage, analysis, series intelligence, or a high-value workflow, then reuse the same source understanding across the slate.
Prescene can begin with a familiar first read and continue through revisions, episodes, development questions, production documents, collaboration, and integrations.
Yes. Enterprise workspaces can include custom AI usage and script capacity, organization and team controls, SSO, invoicing, security controls, and dedicated support.
Pro, Max, and enterprise customers can build custom workflows for documents and tables. Studio deployments can be configured around approved processes and capacity.
Yes. Prescene supports MCP and API access, with configured studio and partner deployments for approved assistants and internal systems.
No. Customer content is not used to train AI models. Enterprise agreements, the DPA, Privacy Policy, and Subprocessor List provide the applicable contractual and processing details.