Walk into every hard conversation
having already had it.

Practice the conversations that shape your career - with a coach who learns how you handle them under pressure and guides you toward what you actually want to say.

For your first salary negotiation. Your first performance review. That high-stakes pitch. That hard conversation with a manager.

Founding 100 · Early access at $15/month

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See Katha in 3 minutes
How it works

A coaching relationship, not a chatbot.

01 Diagnostic
A path built around your gaps
Katha maps six communication skills across three tiers - foundation, action, mastery - and builds a personalized path that targets your weakest first. Every session updates where you are.
Katha - personalized learning path
02 Voice-first practice
Characters who push back
Real scenarios with characters designed to challenge you - your manager, your interviewer, your toughest colleague. Kay speaks. They speak. The stakes feel real.
Katha - voice-first roleplay with realistic characters
03 Coaching that sticks
Kay finds the gap - and drills it
After every session, Kay names the one pattern you keep falling into and works through it with you. You leave with a concrete if-then plan for the real conversation. Then Kay follows up to see if you used it.
Kay
Katha - post-session coaching workshop conversation with Kay
Why Katha

Coaching, not training. Yours, not your employer's.

Most tools
Katha
×Generic AI gives advice with no memory of how you actually perform
Kay remembers what he watched you do under pressure
×Enterprise tools are configured by your employer's HR team
Katha is yours. Built for you. Carries between jobs.
×Training programs measure completion, not behavior change
Katha measures whether you applied it in the real conversation
×Human coaching costs $200–500 per hour
$15/month for founding members

Grounded in learning science

Every product decision has a research basis. Katha is designed by a learning scientist - not built on intuition about how learning works, but on decades of evidence.

Deliberate PracticeEricsson, 2008
Implementation IntentionsGollwitzer, 1999
Transfer-Appropriate ProcessingMorris et al., 1977
Self-Regulated LearningZimmerman, 2002

Every early-career professional deserves to tell their story.
Their katha.

Anabil
Anabil · Founder & Learning Scientist
PhD in AI in Education from Vanderbilt University. Former research scientist in EdTech efficacy. Years researching, building, and evaluating learning technologies. Building Katha because everyone deserves a good mentor to help them tell their story, and develop the skills that translate to the moments that count.