UniQual iTech

UniQual is an India-based software development company founded to ship web, mobile, and AI products for startups and enterprises globally. The team operates from offices in Surat, Eastern Creek (Australia), and North Vancouver, working fully remote-first across US, UK, EU, and Asia-Pacific time zones. They've delivered 180+ products over 12+ years, with a 98% client retention rate and a portfolio spanning McDonald's, Abbott, Rovio, LG, Subway, Hyundai, Mazda, Merck, and Toyota.

The company positions itself as a "senior squad from day one"—no junior hand-offs—and emphasizes clean, typed code (TypeScript, Python with type hints), security-by-default workflows (SOC 2 aligned, GDPR-ready), and fixed timelines locked after discovery. They hold a 4.9-star rating across 40+ reviews and maintain a "less than 24 hours" response time.

Services and capabilities

UniQual's service line spans eight main areas. AI Development covers production LLMs, RAG pipelines with vector search, fine-tuned models, autonomous agents, and MLOps. They integrate OpenAI, Anthropic, and Google Gemini for chatbots and workflow automation through Zapier and n8n. Mobile app development includes iOS (SwiftUI), Android (Kotlin/Jetpack Compose), Flutter, and React Native, with recent work shipping sub-1.0s cold-start on iPhone 12+. Web development uses Next.js, React, and edge rendering for high-performance applications and SEO-ready sites.

They also offer AR/VR development with Unity, WebXR, and Three.js for immersive environments; backend and API engineering on Node.js, Python, and FastAPI with Postgres, MongoDB, and Redis; SaaS and custom software featuring multi-tenant architecture, Stripe billing, RBAC, and dashboards; and UI/UX design with design systems, Figma handoffs, and UX research.

The stack they reach for consistently includes Next.js, React, and TypeScript on the web; Swift/SwiftUI and Kotlin on mobile; Node.js and Python on backends; Postgres and MongoDB for data; OpenAI and Anthropic for AI; and AWS, Vercel, and Docker for infrastructure. They also work with Stripe, RevenueCat, FastAPI, LangChain, PyTorch, Three.js, WebXR, and Sanity CMS.

Notable work

Three case studies illustrate their recent output. MenuFit (2025, AI/Mobile) is an AI nutrition copilot that ranks restaurant dishes against macro goals and diet preferences. The app ingested 1.4M+ menu items, deployed a fine-tuned LLM ranker scoring dishes in under 300ms, and shipped a SwiftUI iOS app with in-app AI chat and Stripe subscription. Results: 50,000+ paid subscribers in 90 days, 4.8★ App Store rating (1,100+ reviews), p95 menu-ranking latency of 280ms, and an Apple 'Apps We Love' feature. Stack: SwiftUI, Python, FastAPI, OpenAI GPT, Postgres, pgvector, Stripe.

Financielle (2024, Fintech/Mobile) is a UK personal finance app for women that needed a complete platform rebuild without losing brand trust or 40,000-strong community. UniQual rebuilt the iOS app in SwiftUI with clean MVVM, designed an accessibility-AA UI system, rewrote the Node.js backend on Postgres with row-level security and full event sourcing, and integrated Open Banking, a debt-tracker, and an editorial CMS. Upgrade conversion lifted from 4.1% to 7.8%; monthly active users grew 42% within six months; the app re-entered the UK App Store Top 10 in Finance; and iPhone 12+ achieved sub-1.0s cold-start. Stack: SwiftUI, Next.js, Node.js, Postgres, RevenueCat, Stripe, Sanity CMS.

Sleepia (2025, Health/AI) is a sleep-tracking iOS app with HealthKit integration and an on-device LLM coach ('Pia') that surfaces snoring patterns and sleep briefs in plain English. UniQual built a SwiftUI app with a custom hypnogram chart engine, on-device snore detection via Core ML, and HealthKit two-way sync; designed 'Pia' as a streaming LLM coach running through a privacy-first FastAPI proxy; and shipped an Apple Watch companion with silent wake-up haptics. Outcomes: 230,000 installs in four months, 4.8★ App Store rating, 94% week-1 retention for users completing onboarding, and 11 sessions per user per week. Stack: SwiftUI, Core ML, HealthKit, FastAPI, OpenAI GPT, WatchKit, Postgres.

How they work

Engagement follows a five-step process. Discovery & Strategy involves deep-dive workshops, stakeholder interviews, and a technical audit that concludes with an opinionated plan. Design & Architecture covers systemised UI, data modelling, and infra blueprints reviewed by senior engineers before any code. Development runs in short, visible sprints with production-quality code from day one—you ship with them, not after. Testing & Optimisation includes automated suites, load tests, and performance passes until p95 matches p50. Launch & Support means staying through release, monitoring day one, holding a warranty window, and offering retainers for ongoing work.

MVPs typically ship in 4–8 weeks; enterprise platforms range 3–6 months depending on integrations and compliance. Timelines are locked after discovery. They handle IP handover in full, work remotely-first with daily communication, and offer dedicated developer hiring, fixed-scope projects, and long-term product retainers. No pricing is listed on the website; they quote per project.

Team and credentials

Three named contacts represent the three offices: Pritesh Prajapati (Surat), Adil Ali (Eastern Creek), and David Taylor (North Vancouver). The company claims 12+ years of combined engineering experience, 180+ products delivered, and a 98% client retention rate. They hold SOC 2-aligned practices and GDPR-ready workflows, with secret hygiene and least-privilege infrastructure as defaults. No formal certifications (ISO 27001, SOC 2 Type II attestation, or partner badges) are mentioned on the website; they describe themselves as "SOC 2-aligned" rather than certified. No G2 or Clutch review counts beyond the homepage "4.9 · 40+ reviews" are provided. Language proficiency is not explicitly stated but their work with US and EU clients, combined with clear English on the site, implies fluency.