Our Services
From Flutter-powered mobile apps to AI-integrated platforms, we engineer digital products that perform under pressure, delight users on first launch, and scale alongside your business — no handoffs, no black boxes, just clean code and strategic craft.
Flutter Mobile App Development
Pixel-perfect, high-performance iOS & Android apps from a single codebase. We implement BLoC & GetX state management, Clean Architecture, and Figma-to-Flutter workflows — shipping apps that feel native on every device.
Modern Web Development
Conversion-focused web platforms built with React, Next.js, and performance-first architecture. From landing pages that rank to full-scale SaaS dashboards — we build for speed, SEO, and long-term maintainability.
Scalable Backend & Cloud Integration
Robust REST APIs, Firebase real-time databases, Python microservices, and AWS cloud infrastructure — designed with Clean Architecture from day one. Built to handle your first 100 users and your first 100,000.
AI & LLM Integration
Embed intelligence directly into your product — LLM-powered features, NLP pipelines, computer vision modules, and AI-driven automation. We integrate AI as a core product layer, not a bolted-on afterthought.
Machine Learning & MLOps
End-to-end ML pipelines built with TensorFlow and Python — from data preprocessing and model training to deployment, monitoring, and retraining cycles. Predictive analytics and data-driven features that scale to production.
UI / UX & Graphic Design
Research-backed, conversion-focused interfaces designed in Figma — from user journey mapping and wireframes to polished design systems and brand-ready visuals. Every pixel is intentional, every screen earns its place.
Flutter Mobile App Development
With 5+ years of hands-on Flutter development, Code Wingz has built cross-platform apps across fintech, healthcare, education, e-commerce, and on-demand services. We do not just write Flutter code — we architect Flutter applications. Every project begins with a clean folder structure, separation of concerns, and a state management strategy chosen for your specific product requirements.
Our approach mirrors the best practices established by the world's top Flutter studios. We implement BLoC or GetX state management, Clean Architecture with Data/Domain/Presentation layer separation, modular navigation, and Firebase or REST API integration with typed models and repository patterns. The result is a codebase your next developer can onboard to in days — not months.
Whether you are a funded founder needing an MVP in 8 weeks, an SME migrating a legacy native app, or an enterprise adding a mobile channel to an existing platform — we have the depth to deliver it without shortcuts.
5+ yrs
Flutter-First Since Before It Was Mainstream
We adopted Flutter before it hit v1.0 stable. That history gives us battle-tested patterns for every edge case your product will encounter.
Typical MVP delivery from approved wireframes to App Store submission
Platforms (iOS + Android) shipped simultaneously from one codebase
Architecture Review on Every Project
Before writing a line of code, we produce a technical architecture document — providing a clear roadmap for your sign-off and eliminating mid-sprint surprises.
Modern Web Development
We craft web platforms that perform under traffic, rank on search engines, and convert visitors into customers or users. Our web stack is built around React and Next.js — chosen for their server-side rendering capabilities, SEO friendliness, and the enormous ecosystem of well-maintained packages available to accelerate development.
From fast-loading SaaS marketing pages to data-heavy admin dashboards and full-stack web applications, we apply the same architectural discipline to web that we bring to mobile. That means TypeScript everywhere, component-driven design systems, Headless CMS integrations where content flexibility is needed, and performance budgets defined before deployment.
Every web product we build is lighthouse-optimised, mobile-responsive, and structured for long-term maintainability — so your in-house team can extend it confidently, or we can continue iterating alongside you on a retainer.
Performance Budget First
We set Lighthouse and Core Web Vitals targets before design begins — not as an afterthought. Every component is evaluated against the budget before it ships.
SaaS & Dashboard Specialists
Complex data tables, real-time charts, multi-tenant auth, role-based access, billing integration — we have built it all. Your SaaS product is in safe hands.
Target Lighthouse performance score on every web build
First Contentful Paint — the metric that determines first impressions
Scalable Backend & Cloud Integration
A beautiful Flutter app is only as good as the API powering it. Backend failures — slow endpoints, unstructured data models, missing authentication layers, zero error handling — are the most common reason good mobile products fail after launch. We prevent that by designing the backend before the frontend begins.
Our backend stack is anchored in Firebase for real-time, serverless, and rapid-MVP scenarios and Python (FastAPI / Django) for data-intensive, ML-adjacent, or custom logic-heavy platforms. We design RESTful APIs with typed request/response contracts, versioning, and OpenAPI documentation so every endpoint is testable, debuggable, and handoff-ready from day one.
For cloud infrastructure, we work on AWS (EC2, Lambda, S3, RDS, CloudFront) and GCP — deploying containerised services via Docker and managing infrastructure with a focus on cost efficiency, auto-scaling, and zero-downtime deployments. We also set up CI/CD pipelines so new features reach production automatically after passing tests.
API-Contract-First Development
We define and document every endpoint before writing server or client code. This eliminates integration bugs, speeds up parallel development, and gives your team a permanent reference document.
Firebase or Custom — Right Tool, Right Job
For MVPs and real-time products: Firebase gives you auth, Firestore, cloud functions, and push notifications in days. For complex business logic or ML integration: Python FastAPI on AWS gives you full control.
Target P95 API response time for well-designed endpoints under normal load
Uptime target using auto-scaling infrastructure and multi-AZ deployment
UI / UX & Graphic Design
Most agencies treat UI/UX as a handoff step between sales and development. At Code Wingz, design and engineering run in parallel from day one. Our designers work in Figma with production-ready component libraries and auto-layout — so what you approve in design is exactly what gets built, without translation loss.
Our design process begins with user research and journey mapping — understanding who your users are, what jobs they are trying to do, and where they currently fail. We build information architectures before wireframes, wireframes before high-fidelity, and interactive prototypes before a single line of implementation code is written.
Beyond product design, we offer brand identity and graphic design services — logo systems, visual language guidelines, marketing assets, pitch deck design, and app store screenshots. Everything needed to present your product consistently from first impression to day-100 retention.
Figma → Flutter, Zero Translation Loss
Our designers and Flutter engineers work in the same team on the same project. The component library in Figma maps directly to the widget tree in code. What you approve is what users see.
Design Sprints: Idea to Prototype in 5 Days
For startups needing to validate quickly, we offer focused 5-day design sprints that produce a Figma prototype ready for user testing — before committing to development investment.
From brief to clickable Figma prototype in a focused design sprint
WCAG accessibility level target — every UI component tested for contrast and screen reader compatibility
AI & LLM Integration
AI is not a feature category at Code Wingz — it is the lens through which we approach every product architecture decision. When we design a mobile app or web platform, we ask from day one: where can machine learning reduce user friction? Where can an LLM replace a manual workflow? Where can a recommendation engine increase retention?
We integrate Large Language Models (LLMs) via OpenAI, Anthropic, and open-source model APIs — implementing RAG (Retrieval-Augmented Generation) systems for knowledge-grounded chat, fine-tuned models for domain-specific tasks, and streaming interfaces that feel instant. Our NLP work covers intent classification, sentiment analysis, named entity recognition, and multi-language support.
Our computer vision capabilities include object detection, image classification, OCR pipelines, and real-time video frame analysis — all deployable inside Flutter mobile apps using TensorFlow Lite for on-device inference with zero latency.
AI as a Core Layer — Not a Feature
We evaluate every architecture decision through an AI lens from sprint one. The result is intelligent products where automation is structural, not superficial.
Evaluation & Observability Built In
Every AI feature ships with a structured evaluation pipeline and logging — so you can measure model performance, detect drift, and improve outputs continuously after launch.
RAG, fine-tuning, streaming — full LLM integration capability in-house
Computer vision inside Flutter via TFLite — zero server latency on-device
Machine Learning & MLOps
Building a model is 20% of the work. Getting it into production, keeping it accurate over time, monitoring it for drift, and retraining it automatically — that is the other 80%. Most agencies skip this entirely and hand you a Jupyter notebook. We do not.
Our ML engineering practice covers the complete model lifecycle: data collection and preprocessing pipelines, feature engineering, model training with TensorFlow and scikit-learn, hyperparameter optimisation, model evaluation with structured metrics, containerised deployment via Docker, and production monitoring with automated retraining triggers when model performance degrades.
For mobile products, we specialise in TensorFlow Lite model conversion and on-device deployment — enabling AI features that work without internet, reduce latency to zero, and protect user data by processing entirely on-device.
Full
End-to-End ML Ownership
From raw data to a production API serving real user requests — we own the entire pipeline, not just the model file. No handoff gaps, no "that's not our scope."
Automated Retraining Loops
We build pipelines that detect model performance degradation and trigger retraining automatically — so your AI product improves with every user interaction rather than decaying silently.
On-Device Inference
TFLite models deployed inside Flutter apps enable AI features that work offline, respond instantly, and never send user data to a server — a growing expectation from privacy-conscious users.
MVP Development
for Funded Founders
The fastest path from idea to investor-ready product. We combine all six of our service disciplines — Flutter mobile, web, AI, backend, design, and MLOps — into a single, tightly scoped MVP engagement that ships in 6–10 weeks.
Our MVP process is built on rapid prototyping principles: we define the minimum feature set needed to validate your core assumption, design only what is essential, build only what is designed, and deploy to real users within the agreed timeline — no scope creep, no surprise milestones.
6–10 wks
Idea to deployed, real-user-ready product. Flutter + Backend + Design in one sprint cycle.
Fixed price
Every MVP engagement is scoped and priced upfront. No retainer lock-in, no scope creep invoices.
All 6 services
Flutter, Web, AI, Backend, Design and MLOps available as a single integrated engagement.
Not sure which service you need?
Tell us what you are trying to build — we will map the right combination of services to your goal, timeline, and budget. No sales pitch. Just a straight conversation.