Meetings, messages, documents, and prior commitments arrive with the question.
A single surface, familiar if you have used Claude or ChatGPT. You ask. It answers - but every answer is read from the record your company writes, and cited to the meeting, email, or document it came from.

Compare the current architecture with a simpler view of how Paperbase helps people make better decisions.
Paperbase brings the relevant record forward, tests it, and makes the reasoning visible before work begins.
Meetings, messages, documents, and prior commitments arrive with the question.
Conflicts, missing context, and stale assumptions become visible.
A cited answer, a clear owner, and an action that fits the way the company operates.
One surface for questions, work, and agents. Type the way you already type - the difference is what is behind it. Ask “where does the Acme renewal stand?” and get the answer with the source for every claim: the meeting where the renewal was approved, the proposal that still says 12 months, the commitment the CFO asked for. No blind answers. No search results to stitch. The record answers.
Not just templates - your own agentic workflows. Describe the job - “brief me before every external call,” “track every commitment we owe customers” - and the agent is built and runs from your memory. Start from one of the 50 pre-built blueprints across 14 roles, or write your own. The agent works the way you work, because it reads the record of how you work.
Explore agent builder ›Create schedules and the agents run themselves. “Every Monday at 9am, the company picture.” “Every morning, the pipeline review.” “Friday, the risk scan.” Output lands in front of you on your cadence. Nobody has to remember to run them, because they do not wait to be asked.
Explore scheduled agents ›Describe what you need - a deal tracker, a board pack, a field-service app - and it is built inside the layer, branded to your company, trained on your memory. No separate point-software purchase, no integration project. It ships, and it gets sharper with every deployment.
Explore software on demand ›Agents do the heavy lifting: research a market, draft the memo, compose the board deck, reconcile what sales promised against what the contract says. You get the output - cited, ready to act on. You stay the decision-maker; the agent does the reading and the drafting.
Explore work at your desk ›Your cloud. Your keys. Your data. The memory lives in your VPC, in the region you choose. Nobody at Paperbase can read it - you hold the keys. Nothing is trained on. Nothing leaves your perimeter. Extreme privacy is the default, not a setting you opt into.
See deployment and trust posture ›Your agents talk to the tools you already use: Gmail and Microsoft 365 email, SharePoint, OneDrive, Google Drive, Slack, Microsoft Teams, Notion, Confluence, Salesforce, HubSpot, Jira, Linear, GitHub, Zoom. Thousands of integrations over APIs and MCPs. If your team lives in it, Paperbase can capture it and act through it.
Explore connections ›Move AI out of isolated chat windows and into a shared workspace. People and agents see the same context and execution state, intervene in real time, and hand work across human and AI without losing provenance.
Explore Multiplayer AI ›Capture meetings on your infrastructure. Your organization owns the recording and controls how it is used for recall, search, decision history, and onboarding. No training on your conversations, no monetization, and no silent copies.
Explore local recording ›Thirty minutes, on your infrastructure. See the interface answer from your own memory, build an agent, and set a schedule - live.