Inspection Software Case Study
Grid Analytics
Scalable Infrastructure Intelligence for Global Expansion – Enabling Real-Time Lidar & Visual Data Fusion, Automation, and Enterprise Delivery at Continental Scale
Client profile
Gluten AI is an emerging health-tech platform focused on helping users with allergies, food sensitivities, and medical dietary needs build personalized, AI-generated meal plans. Their goal is simple: make nutrition management effortless, accurate, and scalable — especially for those with complex or restrictive diets.
Challenge
Gluten AI had a powerful engine — an AI-backed backend capable of generating personalized meal plans based on health conditions, allergies, and user goals. But none of it mattered without one critical piece: a working frontend.
There was no mobile app, no user interface, and no way for real users to experience the value. The intelligence was there. But the product? Nowhere.
To succeed, the platform needed:
- A fully responsive Flutter app for iOS and Android
- Real-time integration with backend AI logic
- A user experience that could handle complex dietary inputs with ease
- Offline support and robust local data handling
- And above all — a partner who could move fast, align daily, and keep scope razor-sharp
The project didn’t start with bugs. It started with nothing. In that context, execution had to be lean, deliberate, and friction-free from day one.
No frontend meant no product. No product meant no growth. That made speed and clarity non-negotiable.
Our Strategic Approach
We proposed a Flutter-based frontend designed to bring AI-powered planning to life through:
- Single codebase deployment for iOS and Android
- A UX architecture that allows for personalized plan creation based on user preferences, dietary conditions, and allergy data
- Real-time integration with backend systems powering recipe logic
- Local data storage for offline functionality and state persistence
- Lightweight architecture to support rapid iteration and scaling
From day one, the partnership was built on transparency, rapid feedback cycles, and clear expectations.
No blockers, no confusion — just alignment and execution.
Execution: Built for Data Volume, Speed, and Global Scale
This wasn’t a rebuild. It was a complete system reinvention - designed to handle massive spatial data volumes, support enterprise-grade delivery, and unlock commercial scale across international markets.
Complete Re-Architecture & Migration
We tore down the legacy backend and rebuilt the platform on GCP using modern cloud-native patterns. The new infrastructure supports elastic scaling, secure multi-environment deployment, and global access with 99% uptime.
CI/CD Pipelines + Code Quality Automation
We implemented end-to-end DevOps pipelines with automated testing, code linting, and deployment gating. Every feature is shipped with quality assurance baked in — reducing defects and accelerating velocity.
Modern UI/UX Layer Using Vue.js + Mapbox
The front-end was redesigned from the ground up using Vue.js and Mapbox for live, interactive spatial data rendering. Operators now see real-time geospatial insights in a clean, high-performance interface — optimized for both speed and usability.
AI/ML-Powered Detection Models
Our team built and trained deep learning models to detect vegetation encroachment and infrastructure defects from drone data. Auto-tagging, visual overlays, and confidence scoring allow human reviewers to validate findings directly within the map view.
Multi-Project Processing via Elastic Infrastructure
The platform now handles multiple client projects in parallel — no queueing, no resource contention. Whether running 1 job or 20, the system distributes compute dynamically and scales horizontally on demand.
End-to-End Agile Delivery Process
We introduced a full agile delivery model: sprint planning, retrospectives, QA gating, and performance velocity tracking. This structure ensured delivery was not just fast — it was accountable, measurable, and repeatable.
Grid Analytics Tech Stack
Grid Analytics was rebuilt on a modern, cloud-native stack to support real-time geospatial processing and scalable infrastructure insights.
The frontend is powered by Vue.js, delivering a responsive, operator-friendly UI, while Mapbox handles high-performance rendering of spatial, lidar, and visual data layers.
On the backend, MongoDB enables flexible management of unstructured geospatial datasets and inspection metadata. The system runs across both Google Cloud Platform (GCP) and Microsoft Azure, with multi-environment deployment supporting hybrid cloud needs and enterprise compliance.
End-to-end automation and release stability are maintained through GitLab CI/CD, ensuring consistent quality across staging and production.
Results:
The re-engineered Grid Analytics platform turned a technical liability into a scalable commercial asset — unlocking both operational throughput and international market entry.
Operational Outcomes
- Enabled weekly processing of 2–3 TB of drone-derived spatial data
- Achieved 99% system uptime via 3-environment deployment (dev/test/prod)
- Delivered unlimited project parallelism through elastic infrastructure
- Expanded data delivery capacity — unlocking onboarding of enterprise clients
- Fully ready for production delivery and white-label licensing across geographies
The system became the foundation for Field Group’s U.S. market expansion, providing the technical scale, reliability, and intelligence layer needed to compete globally.
- Transitioned from reactive processing to proactive intelligence delivery
- Moved from single-project limitations to true multi-client enterprise support
- Replaced technical debt with a productized IP advantage
This is no longer just an internal platform – it’s a growth engine and licensable asset powering Field Group’s positioning across North America and Europe.
Let’s build your
product together!
We shorten the time from problem to solution, which is why we focus on agile communication and action. We like to get straight to the point, so let’s schedule a free 15-minute consultation. No forms, no waiting.
Speak directly with Radek Lejsza, COO of Codeflyers
What our clients says about outcome of the collaboration?
We sent this question directly to our partners
Working with Codeflyers has been a game-changer for us! Their innovative approach and unparalleled technical expertise have propelled our project to new heights. We’re thrilled with the progress and their proactive attitude.
Christoffer Apneseth
CTO at Field
Our collaboration with Codeflyers is a perfect match! Their team is not only competent but also incredibly dedicated. The application is growing stronger, all thanks to their commitment and attention to detail.
Even Reitan
Strategy & Business Development Manager at Telenor
Scope of Services
Our partnership with TipTip encompassed a wide range of services:
Discovery Workshop
Working with Codeflyers has been a game-changer for us! Their innovative approach and unparalleled technical expertise have propelled our project to new heights. We’re thrilled with the progress and their proactive attitude.
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UX / UI Design
Working with Codeflyers has been a game-changer for us! Their innovative approach and unparalleled technical expertise have propelled our project to new heights. We’re thrilled with the progress and their proactive attitude.
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Mobile Appplication Development
Working with Codeflyers has been a game-changer for us! Their innovative approach and unparalleled technical expertise have propelled our project to new heights. We’re thrilled with the progress and their proactive attitude.
Learn more >>