Catalyst is a voice-first AI assistant that draws out career achievements you didn't know you had. In a short daily conversation, it asks the questions that surface the invisible work — the unblocking, the quiet saves, the knowledge transfer — so you're not starting from a blank page at appraisal time.

Two short conversations a day. In the morning, you set your intentions — what you want to push forward, what's weighing on you, what would make today count. In the evening, you debrief — what went well, what was frustrating, what you learned. Each one takes a few minutes, and at the end of every week you have a record of the work you did and the value you brought, ready to point at when it matters.

Most performance reviews are lost in the three days before they're submitted. You scramble for bullet points, you forget the hard months, and you under-count the invisible work — the unblocking, the knowledge transfer, the risk mitigation. Catalyst captures that work the day it happens so it isn't a memory exercise six months later.

You could ask a general AI to recap your day — but it doesn't know what a strong tech achievement looks like, it forgets everything the moment the chat ends, and it has no concept of appraisal season. Catalyst is built specifically for career elicitation: it knows the patterns of invisible work in tech roles, it builds a longitudinal model across your weeks and quarters, and the output is a structured performance narrative you can use in a review — not a chat log you'd have to mine yourself.

Because the alternative costs more time. Most professionals spend 3–5 days before each appraisal scrambling to reconstruct six months of work from memory — and still undersell themselves. Five minutes in the evening, captured daily, eliminates that scramble entirely. The habit is small; the payoff at review time is large.

No. Catalyst is explicitly designed for the user, not the employer. No admin panel, no manager dashboards, no "enterprise visibility." The whole premise of the product depends on you speaking candidly about colleagues, managers, and the work itself — which requires that no one else can see it.

Your raw voice transcripts stay on your phone, in an encrypted local database. When you have a conversation, it's sent to our AI provider for processing and then discarded — we don't keep raw transcripts on the server. The longer-term picture — your weekly syntheses, your profile, your career narrative — lives on our Canadian backend, under Canadian data protection law.