Room is a privacy-preserving collective intelligence.Connect to grow sales pipeline, find solutions, and meet partners.
The web is noisier than ever
Customers, solutions, partners. Here’s how one AI team could find its next customer.
Your team’s context
Your softwareCode and model evaluations.
Your experienceNotes from past implementations.
What you’re looking forFinance teams that need invoice automation.
GitHub
NotionHubSpotGoogle Drive
Stripe
GmailA description for matching
“We build AI that turns invoices into accounting data.”
You review this description before it is shared, with names and sensitive specifics left out.
A potential customer
They need an implementation partner. You have the team, software, and track record to help.
Your code handles invoice extraction.Your team has delivered similar projects.They’re looking for implementation help.Room explains the fit using the description you approved.
You both said yes
“Let’s automate your invoice processing.”
The person who can help reviews first. When you both say yes, Room shares identities and approved details.
You’ve trained a speech model for noisy calls. Room could find support teams that need more accurate transcripts and show why they could be a fit.
Your model evaluations show what the software can do. Their requirements show where it could help.
Match descriptions leave out names and sensitive details.
You need answers with citations from a large knowledge base. Room could surface a contractor who has built and evaluated retrieval systems.
Past projects show how the contractor builds search systems and checks the quality of the answers.
Match descriptions leave out names and sensitive details.
You need LLM traces, latency, and cost tracking. Room could connect you with a vendor that runs the service.
Their documentation covers the features you need and how the service would run in your environment.
Match descriptions leave out names and sensitive details.
Before you connect
Potential customers, contractors, software vendors, and partners. What Room looks for depends on what you can offer and what you need.
Room explains why a match could be relevant and what supports that explanation: project experience, a customer relationship, or a specific need. It uses descriptions cleared for sharing, leaving out names and sensitive specifics.
Code can show an implementation. A payment can show a transaction. A message can show an interaction. Missing context stays a question; the person who could help still confirms the fit.
Room turns specific work into a broader description of your experience or needs. A model trained for a named finance customer might become “experience fine-tuning models for document extraction.” The description keeps the relevant capability and leaves out the customer’s name.
You review that description before it is used for matching or shown to others. Both people must accept before identities and approved introduction details are shared.
Room governs and records sharing. An external provider reads whatever is sent to it. You review access when connecting. Read the privacy notice.
Connect a tool or add a file to give Room context. It prepares descriptions of what you can offer and what you need, with sensitive specifics left out. Once you’ve reviewed them, Room looks for relevant matches and brings you the evidence of fit.
Yes. Room connects what one participant can offer with what another needs, using approved descriptions with names and sensitive specifics left out. Sharing is governed and recorded.
An external provider reads whatever is sent to it. Read the privacy notice.