Most enterprise applications were built before AI was a viable component. Adding AI to a system that wasn't designed for it is expensive, fragile, and often counterproductive. Win Infosoft builds applications where AI is part of the architecture from day one — not added as a wrapper around a legacy core.
What We Build
From web and mobile applications to legacy modernisation and enterprise integrations — every build is structured so AI capabilities can be added, extended, and improved over time.
Full-stack React/Next.js frontends with Node.js or Python backends. Enterprise-grade with auth, RBAC, audit trails, and API-first architecture — ready to integrate with internal systems and external AI services from the start.
Native iOS (Swift) and Android (Kotlin) apps, plus React Native for cross-platform delivery. AI features — image recognition, NLP, personalised recommendations — built into the app layer, not patched on afterwards.
Add specific AI capabilities to existing applications — intelligent search, document summarisation, auto-classification, anomaly detection — without rebuilding the entire application. An architecture review first confirms what's feasible.
Connect new applications to existing ERP (SAP, Oracle), CRM (Salesforce, Dynamics), and HRMS systems via REST, GraphQL, and event-driven APIs. Clean integration patterns that don't create brittle point-to-point dependencies.
Migrate .NET, Java, and PHP monoliths to modern architectures. Replace components incrementally — strangler-fig pattern — without taking the whole system down during a high-risk big-bang rewrite.
Applications designed for container deployment (Docker, Kubernetes) with CI/CD pipelines, observability, and auto-scaling built in from week one. No retrofit work required when traffic grows.
Core Technologies
The Process
A structured build process that keeps scope, timeline, and quality in check. Most MVPs ship in 6–8 weeks; full production applications in 12.
Requirements documented, technical constraints mapped, data flows designed, and architecture decisions made before a line of code is written. This phase prevents expensive rework later.
Core features built in 2-week sprints with working demos at each checkpoint. No disappearing for six weeks and surfacing with a surprise. Stakeholders see real progress every two weeks.
End-to-end QA, performance testing under load, security review, and integration testing with third-party systems. Issues found at this stage are fixed before they reach production users.
Production deployment via CI/CD pipeline, runbook documentation, team training, and 90 days of included bug-fix support. The client's team owns the application from day one.
Common Questions
Start Here
Share what you're building. Win Infosoft will review the architecture, identify the right AI integration points, and provide a realistic scope and timeline estimate — before any project contract is signed.
Request the Assessment