Cresca is a private relationship-memory tool that automatically organizes notes, voice memos, and photos of business cards into clean person profiles. It surfaces pre-meeting briefs and gentle follow-up nudges so users never forget personal details or promises. Built on Stanford research about trust and weak ties, Cresca keeps all data private with no feed or public profile.
- Artificial Intelligence
- Applications
- Software Only
Funding
Founders
Product
Problem
Professionals frequently forget personal details about important contacts—names of children, ongoing projects, or promises made—weeks after meeting them. This causes awkward interactions, missed follow-ups, and weakened relationships. Existing tools like spreadsheets or CRM systems require tedious manual data entry and are often abandoned.
Solution
Cresca is an AI-powered relationship memory that captures information effortlessly—users can speak, snap a photo, or type a message like texting a friend, and Cresca automatically extracts the key details: who, what, and what's next. It organizes everything into private person profiles with no forms or fields to fill. Before any meeting, Cresca delivers a two-line brief recapping the person's contextaint, including their children's names, what they're building, and any outstanding promises. The system also sends gentle nudges to follow through on commitments before they go cold. All data remains strictly private—there's no feed, no public profile, no sharing—and the platform is grounded in Stanford research on trust and weak ties, designed to support, not replace, real relationships. Over time, Cresca builds deeper context, becoming a long-term memory that grows richer with each interaction.
Target Audience
Professionals who manage extensive personal networks, such as founders, investors, sales executives, and consultants, who need to maintain deep personal connections without relying on manual note-taking or CRM discipline.
Features
- Voice note capture: records and transcribes spoken notes into structured person records
- Photo recognition: reads business cards and whiteboard photos and links them to the correct contact
- Automatic data extraction: identifies people, key facts, and action items from text, voice, or images without manual forms
- Pre-meeting briefs: generates two-line contextual summaries before any upcoming meeting
- Follow-up nudges: surfaces unfulfilled promises and suggested action items at the right time
- Natural-language querying: users can ask plain-language questions such as "coffee with Sarah tomorrow" and receive relevant context
- Privacy-first architecture: no feeds, no public profiles, no visibility to other event attendees, and no data selling
- Stanford-based research foundation: built on academic work about trust and weak ties in professional relationships