30+ tools in. One endpoint out.
fein reads the systems your team already runs and resolves them into one context graph. Your AI tools query the graph, not thirty separate search boxes.
It sits on top of the systems you run today.
fein works with 30+ tools. It reads your CRM and everything around it, then resolves the whole picture into one graph. It replaces no system, migrates no data, and asks your team for no new data entry. If your CRM is out of date, fein is still current, because it reads the record your team makes anyway.
- CRM and deal systems
DealCloud, Affinity, Salesforce, Attio, HubSpot, Airtable
- Email and calendar
Gmail, Google Calendar, Outlook, Microsoft 365
- Files and data rooms
Google Drive, SharePoint, OneDrive, Dropbox, Box, DocSend
- Meetings, notes and chat
Granola, Zoom, Google Meet, Slack, Microsoft Teams, Notion
- People and market data
LinkedIn, PitchBook, Crunchbase, Harmonic
- Portfolio and back office
Carta, Standard Metrics, Google Sheets, Excel
- 30+ tools in all
If your team runs something else, we read that too. Ask us.
One memory behind Claude, ChatGPT and your team’s AI tools.
A connector gives an assistant a search box into one tool at a time. fein gives it your firm’s whole memory, with the source document behind every line.
reads your tools continuously resolves them into one context graph answers over one MCP endpoint
With a connector alone
With fein
How it connects
Each tool needs its own plug-in. Your assistant queries them one at a time.
The same plug. fein is one MCP endpoint. Your assistant already knows how to call it. Behind it sits the graph, not a search box.
What it reads
Whatever matches your query, this minute, in one tool. If your words miss the words in the email, the fact does not exist.
A context graph. fein has already read every message, call and meeting. Each one is filed to its person and company before you ask.
Across your stack
Gmail cannot join a call transcript to a job change to a calendar invite. Each search stands alone. You join the results yourself.
One graph, not many searches. The email, the transcript and the invite land on the same record. One answer can cross all three.
When a fact changes
It returns what it finds. That includes the line that stopped being true eighteen months ago. Search does not know the difference.
Auditable. The old fact is struck, dated and kept. You get what is true now. You can still ask what your firm believed in 2024.
What comes back
A paraphrase of some documents. It is as good as whatever was retrieved that time. Ask twice, get two answers.
Deterministic. The same question gets the same answer, every time. The document behind each line is one click away.
Where it runs
Your data leaves your firm. It goes to whichever vendor owns the connector.
Yours. It runs on your own servers. You can read all of the code. It sends nothing to us.
Something in your stack we did not name?
We read that too. Twenty minutes on a call, and a straight answer on whether your stack fits.