Plooms combines familiar AI tools with company knowledge, traceable sources and repeatable workflows. Start with the task. Keep the context as you move between capabilities.
Ask questions with the knowledge, sources and history of your organization behind the answer.
Prepare for a meeting, find a policy or work through a decision without starting from a blank conversation.
Streaming chat uses the temporal context graph and source provenance. Web search is optional per chat. Projects carry context across conversations.
Turn a conversation into Word documents, presentations, spreadsheets, PDFs, images and video.
Draft a client brief, create a reporting deck or develop a working spreadsheet, then refine it by asking.
Artifacts are grounded in company context, on-brand and versioned. Reports can include sections, tables of contents, charts, diagrams and screenshots. Media creation includes images and narrated video.
Describe an application, review a live preview and iterate on a real build.
Prototype an internal tool around a process your team already understands.
A server-side workspace supports build verification and error repair. Changes are scanned for secrets and known vulnerabilities before a scan-gated pull request is opened.
See how people, facts and sources connect, including what changed over time.
Understand today’s answer, revisit an earlier decision and inspect where the knowledge came from.
The bi-temporal graph records when a fact was true and when it was learned. Superseded facts remain queryable. An interactive WebGL explorer shows current facts as solid and superseded facts as dashed history. Select a fact to inspect its sources.
Bring in selected knowledge from Google Workspace, Microsoft 365, Box, Slack and Teams.
Work with the files and conversations you already rely on, while choosing what Plooms may read.
Each user scopes labels, folders and sites. Credentials are sealed with libsodium, sharing is per item and revocable, and message or calendar writes require permission.
Skills are reusable instructions. Playbooks combine those instructions with AI, action steps and human approvals in a multi-step procedure.
Turn a recurring request into a procedure that people can review and run again.
Durable playbooks survive restarts. Side effects are idempotent, approval gates wait without holding a worker, and execution is audited.
Extend the same grounded workspace to external agents and a Windows desktop app.
Let approved agents work with company context instead of building a separate knowledge layer for every tool.
MCP and REST access use OAuth 2.1. A default-deny agent registry scopes tools and playbooks, while an idempotency ledger records actions. A trace ID connects transport, runs and graph writes. Direct model API access also lets you use the open-weight models in your own applications.
Plooms records the source before extracting facts, so you can inspect where knowledge came from and revisit it as it changes. Chat, playbooks and approved agents can use that same context. Projects keep related work together across conversations.
Explore the company-brain exampleWalk through the workspace, your data requirements and the economics of your deployment.
