eFlair Webtech Private Limited

Challenge

A U.S. HR‑tech SaaS was losing 4 % of customers each month. Eight‑second load times, dated Angular code, and a backlog of features were eroding NPS and investor confidence. The in‑house team was tied up in maintenance and couldn’t ship improvements fast enough to hit growth targets.

Solution

eFlair parachuted in a pod—product strategist, UX lead, six full‑stack engineers, QA, and DevOps—super‑charged by AI code assistants and test generators. In six sprints we rebuilt the front end in React, migrated APIs to Node + GraphQL, embedded ML‑based onboarding and churn‑risk alerts, and stood up automated CI/CD on AWS.

Result

Delivered in 5.5 months. Avg. page load dropped from 8 s → 1.2 s, onboarding completion jumped 62 %, monthly churn fell from 4 % → 2.5 % (‑38 %), and NPS rose 42 → 68. New ML insights unlocked a $1.2 M upsell pipeline; the client recouped the entire project cost within three quarters.

Challenge

A bootstrapped Middle‑East FinTech startup needed an MVP iOS/Android app to let migrant workers send micro‑remittances home. They had only wireframes and a strict 4‑month launch deadline to beat a competitor’s release, plus demanding compliance and KYC requirements.

Solution

eFlair formed a lean squad: PM, UX designer, two React Native engineers, backend lead, QA, and an AI‑powered DevOps pipeline. Using AI mock‑gen, we turned sketches into interactive Figma prototypes in a week. We built a React Native app with biometric login, real‑time FX rates, and automated KYC via OCR + facial recognition APIs. CI/CD, security scans, and unit tests were AI‑assisted, cutting build times by 35 %.

Result

App approved by both stores on first submission—Day 118. Onboarding time fell from 12 min in user tests to 4 min post‑AI KYC. Within 90 days of launch: 42 000 downloads, 87 % retention Week 1, > $9 M remittance volume processed, and Series A funding closed at a $25 M valuation. Client named eFlair its long‑term tech partner.

Challenge

An EdTech founder wanted a subscription‑based bedtime‑stories app that lets parents generate age‑appropriate tales, clone their own voices for narration, and track reading habits—all before the holiday season. They had no in‑house AI team and strict COPPA privacy requirements.

Solution

eFlair spun up a cross‑functional squad: product strategist, two full‑stack engineers, ML engineer, UX designer, QA, and DevOps. Using GPT‑4 Turbo + prompt‑chaining, we built a generative story engine with moral/complexity filters. ElevenLabs handled voice cloning; React Native powered iOS/Android clients. AI‑assisted CI/CD, automated security scans, and Firebase analytics completed the stack.

Result

MVP shipped to stores in 92 days. First‑time story generation under 8 s, 4.9‑star average rating. In 60 days: 200 000 downloads, 37 % free‑to‑paid conversion, 18‑minute avg. session. Parents created 1.6 M custom stories in 3 months; COPPA audit passed on first attempt. The startup closed a $3.8 M seed round two weeks post‑launch.