Unico Connect

Web & Mobile Applications Built With AI-Native Engineering

Custom web and mobile applications engineered for performance, built with AI-augmented development workflows that compress timelines without compromising quality. From native iOS and Android to cross-platform Flutter and React-based web apps.

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What AI-Native Engineering Means for Your Product

Nearly 80% of code across our projects is AI-generated. Engineers spend their time on architecture, business logic, and the problems that differentiate your product - not boilerplate.

Traditional Development

Requirements & Specifications

Manual translation of business requirements into technical specifications. Interpretation gaps between stakeholders and developers.

Manual Code Writing

Every component, API endpoint, and data model written line by line. Boilerplate consumes significant engineering hours.

Code Review & QA

Sequential review cycles. Manual testing catches what reviewers can. Limited edge-case coverage within project timelines.

Bug Fixing & Iteration

Issues found late in the cycle. Each fix requires another review round. Compounding delays as scope grows.

Deployment & Handoff

Manual deployment processes. Documentation written after the fact. Knowledge transfer gaps between build and maintenance teams.

Engineers Validated

AI-Native Development

Requirements to Working Code

AI translates requirements into initial code, data models, and API structures. Engineers refine and validate - not build from scratch.

AI-Generated Code, Human-Reviewed

Nearly 80% of code is AI-generated using Claude Code and Cursor. Every line is reviewed by engineers who understand your business.

AI-Assisted Testing

Comprehensive test suites generated alongside code. Edge cases caught that manual testing would miss. Quality built in, not bolted on.

Engineer-Led Architecture

Engineers focus on architecture decisions, performance optimization, and feature work that differentiates your product.

CI/CD & Living Documentation

Automated deployment pipelines. Documentation generated with the code, not after it. Cleaner handoffs, fewer knowledge gaps.

What We Build

MVP & Rapid Prototyping

Functional MVPs in weeks using AI-augmented development and rapid backend tools like Xano. Built to validate, architected to scale.

Native Mobile Applications

iOS (Swift) and Android (Kotlin) apps for performance-critical use cases requiring deep platform integration and native UX.

Cross-Platform Mobile Development

Flutter and React Native applications sharing a single codebase across iOS and Android without sacrificing native feel.

Web Applications & SaaS Platforms

React, Next.js, and Node.js applications built for scale. Customer-facing SaaS products and internal operational tools.

API Development & System Integration

RESTful and GraphQL APIs connecting your application to third-party services, payment gateways, CRMs, and AI models.

AI-Integrated Applications

Applications with embedded AI: intelligent search, recommendations, natural language interfaces, predictive analytics. Built alongside the app, not as an afterthought.

Technology We Work With

Frontend (Web)
Frontend (Mobile)
Backend
Rapid Backend
Databases
AI Development Tools
Cloud & Deployment

Our Work

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Travel & Hospitality🇮🇳 India

Built a vacation rental platform from prototype to 1,000+ properties across 80+ destinations

Developed a booking engine with real-time availability, pricing, and instant confirmation
Built property management tools for hosts to manage listings, calendars, and guest communication
Created operational dashboards for housekeeping, maintenance, and revenue tracking
Integrated AI-powered property recommendations based on guest preferences and booking history

50%

Booking Capacity Increase

30%

Operational Cost Reduction

40%

Faster Booking

View Case Study
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E-Commerce SaaS

AI-Powered E-Commerce Analytics Platform

A SaaS platform providing unified insights across e-commerce marketplaces. Automated inventory management, financial tracking, and data-powered recommendations for online sellers.

50%

faster reporting and analysis

30%

reduction in stockouts

25%

pricing accuracy improvement

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Education

Student Experience Platform

Web and mobile application serving 15,000+ students across multiple schools. Individualized learning paths, attendance systems, AI-powered features, and instant staff support - built for a diverse adult learner population.

15,000+

students served

25%

faster English acquisition

97%

reduction in compliance effort

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Have an application idea or a product that needs to scale?

Talk to an Expert

Common Questions About Web & Mobile Development

It depends on your priorities. Native development (Swift/Kotlin) is the right choice when you need maximum performance, deep device integration, or platform-specific UX. Cross-platform (Flutter, React Native) fits better when you need to launch on both iOS and Android quickly with a shared codebase. Most of our clients start cross-platform and move to native only when a specific platform capability requires it.

AI-assisted development tools help our engineers write, test, and debug code faster. In practice, this means faster delivery on most projects depending on complexity. The bigger impact is on quality - AI tools generate comprehensive test coverage and catch edge cases that manual review might miss.

Yes. We build functional MVPs in 4-8 weeks using AI-augmented development and, where appropriate, rapid backend tools like Xano. These are not throwaway prototypes - they are functional applications your early users can actually use, built on architecture that scales when you are ready.

Node.js and Python are our primary backend languages, with frameworks like Express, Django, and FastAPI depending on the project. For rapid development and MVPs, we also use Xano and Supabase. Database choices include PostgreSQL, MongoDB, and Redis, selected based on data patterns and scale requirements.

Yes. We build AI capabilities as native features within applications - intelligent search, recommendation engines, natural language interfaces, predictive analytics. Because our team uses AI daily in development, we understand the practical considerations like latency, cost, and accuracy thresholds that matter when shipping AI features to real users.

Both. We work with early-stage startups building their first product, mid-market companies scaling existing platforms, and enterprises modernizing legacy systems. Our engagement models flex accordingly - fixed-scope projects for startups with defined budgets, dedicated teams for companies that need ongoing capacity.

Let's Build The Next Big Thing

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