Shipping a production-ready AI relationship-mentoring platform before the market window closed.

How Mitra AI transformed a basic demo into a full web and mobile MVP with real-time voice mentoring and speaker identification in just three months.

Industry: AI
Type: Startup
Client: Mitra AI
Technology: Web & Mobile
Location: USA

The Problem

Mitra AI set out to make therapy-like relationship guidance accessible through real-time AI voice mentoring.

The initial concept demo was there, but the product was still far from being usable and progress lacked production-grade execution

Failure Stakes

Without dedicated engineering:

The emerging AI relationship coaching window could close
There would be no credible product for investor demos
Continued self-funding would stretch without traction

Melanie quietly worried that she was investing time and money but would she be able to take her idea to production grade app before losing first-mover advantage.

Transformation

Before

Demo-level web app only
No remote multi-device sessions
Mobile presence absent
Voice transcription unstable
Investor validation unclear

After

Production-ready web platform live at app.mitra.coach
Fully functional iOS & Android app
Remote sessions working across devices
Speaker diarization reliably capturing both participants
MVP ready for investor demonstrations

A fully shipped web, iOS, and Android platform in three months. First-mover advantage intact. Investor-ready product in hand ready to onboard users.

Why This Was Hard to Fix?

The product required more than feature completion. It demanded:

Real-time voice mentoring with accurate speaker identification
Multi-device audio synchronization
AI integration across text and voice
Mobile and web feature parity
Compatibility with existing LiveKit and Supabase infrastructure

Standard SDK implementations failed in multi-device environments.
Mobile SDK parity was incomplete.
The platform needed architectural decisions, not patchwork fixes.

The Approach

We applied our Visibility-First Product Execution approach to transform a demo into a production-ready system.

Execution Steps

1Took full ownership of mobile architecture (React Native + Expo pre-build)
2Built custom audio subscription logic inside LiveKit agents to support remote sessions
3Replaced standard diarization with custom logic for multi-device voice capture
4Optimized embeddings using Gemini to improve retrieval quality
5Stabilized transcript flows and AI interaction reliability
6Implemented email invitation and partner pairing systems

Every feature was built with one objective:

Make progress visible, functional, and ready for validation.

Outcome Stats

With CARTE BLANCHE

3 Months to Full MVP Delivery

Achieved through single-owner full-stack execution and weekly async iteration.

Web + iOS + Android Shipped

Delivered complete feature parity across platforms using React Native architecture ownership.

100% Multi-Device Audio Capture

Enabled by custom LiveKit audio subscription logic for remote session metadata handling.

All Features Delivered On Time (Under Estimates)

Maintained through async-first delivery model and scoped milestone control.

Deliverables

Production web appReact Native mobile application (iOS & Android)Figma design systemFramer landing pageTesting/QA

Technology Stack

React

React Native

Expo

LiveKit

OpenAI

Gemini

Supabase

Node.js

Express

Redis

TypeScript

TanStack

Material-UI

NativeWind

Docker

Vite

Key Features

Real-time voice + text AI mentoring
Speaker diarization (Couples Mode)
Remote sessions for couples on different devices
Text chat mentoring
Email invite system for user acquisition
Session continuity

“We had a Y Combinator application deadline and an app to ship. My co-founder's a developer — but between running everything else, building it kept slipping. Carte Blanche gave us the capacity to actually ship, on plan.”