Industry: Marketing

Timeline: 12 months

1. Project Overview

Due to confidentiality and active development under NDA, we can’t disclose the company name or the full product details just yet.

What we can share is this: our client is building an ambitious AI-powered platform that helps users automatically discover qualified leads and initiate personalized outreach — with the goal of building trust and driving conversions. It’s not just automation for the sake of speed, but automation that feels personal, contextual, and human.

To bring this vision to life, they partnered with Fynest to handle every layer of execution — from frontend to backend, AI integration to infrastructure, and a full QA ecosystem to ensure quality at scale.

Stealth Image 1
Stealth Project
Marketing

2. Why This Stealth Startup Chose Fynest: A Full-Stack Partner With AI Expertise

The founding team knew they needed a partner who could move quickly, think holistically, and deliver at a high technical bar — especially given the complexity of real-time outreach, AI reasoning, and infrastructure orchestration.

They chose Fynest for our track record in:

  • End-to-end product development (frontend, backend, infrastructure, QA).
  • AI integration for outreach, automation, and personalization use cases.
  • DevOps and cloud architecture optimized for scalability and security.
  • Building from MVP through to production-readiness with tight feedback loops.

3. The Challenge: Building an AI Outreach Engine That Actually Works

Most outreach tools fall into two traps — they’re either clunky and generic, or overly aggressive and end up hurting brand reputation. Our client wanted to break that mold with a platform that was:

  • Smart enough to find and score qualified leads without noise.
  • Subtle enough to craft messages that build trust, not friction.
  • Scalable enough to run large campaigns without breaking down.
  • Flexible enough to iterate quickly and safely under active development.

This meant every layer — frontend, backend, AI, and QA — needed to be cohesive and bulletproof.

4. The Solution: An Intentional Stack That Balances Power and Precision

Fynest helped deliver a platform where each component works in harmony:

  • Modern Desktop App: Intuitive UX for managing complex outreach workflows.
  • Scalable Backend: Engineered for high throughput and fast response times.
  • AI-Driven Logic: Used intelligently — not just for show — to generate thoughtful, trust-building interactions.
  • Cloud-Ready Backend: Lightweight but scalable infrastructure, ready for future player growth.
  • QA at Every Layer: Catching bugs early, automating regressions, and ensuring each release meets high standards.

5.How Fynest Delivered: A Deeply Integrated Technical Build

a. Desktop Frontend Development We built a sleek, cross-platform desktop app with a modern UI, enabling users to view and manage campaigns, monitor engagement, and adjust outreach strategies. The frontend is optimized for productivity, offering clean UX even with complex user flows.

b. Backend Engineering We developed the backend from scratch, with robust APIs, user and permissions management, scheduling systems, and outreach orchestration logic. It handles everything from lead ingestion to campaign triggers, with real-time and batch processing.

c. AI System Integration We worked with the client to integrate LLM-based components for lead analysis, message generation, intent prediction, and trust-scoring logic — while also advising on the tradeoffs between hosted models vs. local inference for speed, accuracy, and cost.

d. Cloud Infrastructure & DevOps We designed and deployed a scalable cloud-based infrastructure with CI/CD pipelines, containerization (Docker), secrets management, and monitoring. This ensures stable releases, fast deployments, and predictable operations even at scale.

e. QA Ecosystem (Manual + Automated) Fynest implemented a robust QA process covering:

  • Manual testing of workflows across user roles and edge cases.
  • Automated testing for regression, API correctness, and AI stability.
  • Continuous feedback loops between dev, QA, and product for release-readiness.

6. Technologies We Used

To bring the platform to life, we used a modern and scalable tech stack:

  • Desktop experience: Electron + React + Tailwind CSS + TypeScript delivering the operator console used for daily outreach.
  • Mobile companion: React Native app for field sellers to review leads, sync notes, and trigger sequences on the go.
  • Backend platform: Node.js services with GraphQL APIs and PostgreSQL, deployed in Azure with Dockerized microservices.
  • AI orchestration: OpenAI-powered personalization, intent scoring, and sequencing logic integrated via serverless workers.
  • Reliability & QA: Azure DevOps pipelines, Docker-based environments, and a full suite of Playwright, Appium, k6, and Testmo coverage.
Nextjs
Nodejs
Electron
React Native
TailwindCSS
TypeScript
Figma
Docker
GraphQL
OpenAI
PostgreSQL
Azure
Azure DevOps
Github
Swagger
Appium
Playwright
K6
Testmo

7. The Result: A Confidential Success — Quietly Making Waves

While the product hasn’t gone public yet, our partnership has already delivered:

  • Functional MVP used internally and in private demos
  • Smooth, stable release cycles with full CI/CD
  • Validated AI flows with measurable improvements in personalization quality
  • Infrastructure designed for production readiness from day one

Stealth Founder has given feedback:

“Fynest has been an extension of our team in every way that matters. They didn’t just code what we asked — they helped us build the right system from the ground up.”

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