Paperbase
Paperbase provides a permanent organizational memory layer that captures meetings, documents, and decisions, making institutional knowledge queryable by teams and AI agents with citations. The platform deploys entirely on the customer's own infrastructure—their VPC, keys, and models—ensuring data never leaves the organization. It includes a natural-language agent builder with 50 pre-built blueprints across 14 roles for automated workflows.
- Enterprise Software
- AI Agents
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations lose institutional knowledge as decisions, meetings, and documents accumulate in disconnected systems, making it difficult for teams and AI agents to work from accurate, current context. Employees waste time reconstructing past commitments and reasoning, while AI tools operate in isolated windows without access to the full organizational record.
Solution
Paperbase creates a permanent memory layer that captures everything an organization knows—meetings, messages, documents, CRM data, and reasoning—and connects it to a single interface where users and agents query the record with citations. The platform continuously validates what remains true, executes within a governance perimeter, and improves from outcomes. Deployed entirely on the customer's own infrastructure (their VPC, keys, and models), Paperbase ensures no data leaves the organization, is never trained on, and remains fully owned by the customer. Users ask questions, build custom agents, schedule autonomous workflows, and receive cited answers grounded in company-specific evidence.
Target Audience
Primary customers are mid-size to enterprise organizations across regulated industries—banking, legal, defence, insurance, and professional services—that need to preserve institutional knowledge while maintaining strict data control and security compliance.
Features
- Natural-language agent builder that lets users describe workflows ("brief me before every external call") and runs them from organizational memory, with 50 pre-built blueprints across 14 roles
- Scheduled agents that run on user-defined cadence (daily, weekly, or custom) and deliver outputs like pipeline reviews, risk scans, or company updates
- Software-on-demand capability that generates internal tools (deal trackers, board packs, field-service apps) branded to the company and trained on its memory
- Cloud-agnostic deployment options: managed in the customer's cloud account, self-managed on existing infrastructure, or fully air-gapped with no connectivity
- Multiplayer AI shared workspace where people and agents see the same context, intervene in real time, and hand off work without losing provenance
- Enterprise integrations via APIs and MCPs across Gmail, Microsoft 365, SharePoint, OneDrive, Google Drive, Slack, Teams, Notion, Confluence, Salesforce, HubSpot, Jira, Linear, GitHub, and Zoom
- Governance controls including RBAC/SSO through the customer's identity provider, replayable audit logs, retention controls, and time-boxed access for contractors