About noticed
We are an applied research team in Lisbon building the first AI models for professional relationships.
Why we are building it
People carry years of valuable relationship context across their memory, inbox, calendar, contacts, meetings, and professional profiles. Most software flattens that history into a contact row. noticed is designed to remember the human context instead: who someone is, how you know them, what has changed, and when that relationship may matter for a real goal.
The product helps founders, operators, engineers, and small teams work through warm relationships they already have. It is not a cold-outreach database. We want an agent to find the overlooked customer, candidate, partner, investor, or collaborator in a network while preserving provenance, privacy, and consent.
How the work is different
noticed combines source-aware identity resolution, relationship memory, changing professional signals, and agents that can act with explicit boundaries. Connected data remains scoped to the person or consented Team that owns it. An unknown fact stays unknown; a plausible guess is not a substitute for evidence.
We publish what agents need to understand the product through our developer resources, and we explain connected-data handling in our privacy policy. Questions about the company or product can be sent through the contact page.