Case studies

Real problems.
Real results.

A selection of projects across industries — each one a real production system, not a prototype.

Healthcare · AI Automation Pipeline
AI-Powered Medical Billing Automation for a US Practice Group
AI AutomationPythonDjangon8nLLMEHR Integration
A multi-location US medical practice was spending 40+ hours per week manually reviewing claims and chasing denials. We built an AI automation pipeline that ingests records, auto-codes encounters, validates against payer rules, and flags anomalies — cutting manual processing by over 70%.
70%
Reduction in manual processing time
40hr+
Saved per week across the practice
6wk
Time to production
E-commerce · AI Automation · RAG Pipeline
RAG-Powered Product Assistant for a D2C Retail Brand
RAGLLMPineconeReactn8nShopify API
A direct-to-consumer brand wanted to reduce support tickets and improve conversion. We built a RAG chat assistant trained on their catalog, FAQs, and policies that handles 80% of pre-purchase questions autonomously.
80%
Support queries resolved autonomously
35%
Reduction in support ticket volume
4wk
Time to production
Manufacturing · Computer Vision
Real-Time Defect Detection System for a Packaging Manufacturer
Computer VisionYOLOEdge AIPythonOpenCV
A packaging manufacturer was catching defects too late. We integrated a YOLO vision system into their line cameras detecting surface defects, misprints, and dimensional errors in real time at 60fps.
94%
Defect detection accuracy
60fps
Real-time line processing
8wk
Time to production
Fintech · Mobile App · On-Device Computer Vision
AI-Powered Expense Tracking Mobile App with OCR
React NativeOn-Device OCRGoogle ML KitDjangoPostgreSQL
A fintech startup needed a frictionless mobile expense tracker. We built an iOS/Android app where users photograph a receipt and AI instantly extracts merchant, amount, date, and category, syncing to accounting platforms.
4.8
App Store rating at launch
3s
Receipt to structured data
6wk
Time to both app stores
SaaS · Web App · AI Solutions
AI Lead Intelligence Platform for a B2B Sales Team
Next.jsLLM Scoringn8nPostgreSQLDjango
A B2B company needed to qualify inbound leads faster without growing their SDR team. We built a platform that enriches leads, scores them with an LLM on ICP criteria, drafts outreach, and pushes qualified leads to CRM.
3×
Lead throughput increase
60%
SDR time saved per week
5wk
Time to production
Agri-tech · Mobile App · On-Device Computer Vision
Crop Disease Detection App for Field Agronomists
FlutterTensorFlow LiteOn-Device AIEdge MLPythonFastAPI
Field agronomists were spending hours identifying crop diseases. We built a Flutter app running a TensorFlow Lite model on-device — point the phone at a plant and get an instant diagnosis. Works fully offline.
91%
Diagnosis accuracy on-device
1.8s
Inference time, no internet needed
7wk
Discovery to App Store
Construction · Mobile App · On-Device Computer Vision
Real-Time PPE Detection Mobile App for Construction Sites
React NativeYOLOv8 On-DeviceCoreMLTFLitePython
A Gulf construction group had recurring HSE violations and no scalable way to enforce PPE compliance on temporary sites. We built a React Native app with an on-device YOLOv8 model that flags missing helmets, vests, and gloves in a live camera feed at 30fps — no hardware, no cloud, fully offline.
96%
PPE detection accuracy
30fps
Real-time on-device processing
7wk
Time to production
Logistics · Web App · AI Analytics
AI-Powered Fleet Analytics Dashboard for a Gulf Logistics Firm
ReactDjangoWebSocketsAI Anomaly DetectionAWS
A Gulf logistics firm had GPS data on 1,200+ vehicles but no way to use it. We built a real-time analytics dashboard with AI anomaly detection, predictive maintenance scoring, and LLM-generated route insights — cutting fuel costs 22% in 90 days.
22%
Fuel cost reduction in 90 days
1200+
Vehicles monitored live
8wk
Time to production
HR Tech · AI Automation Pipeline
CV Screening & Candidate Ranking Automation Pipeline
AI AutomationLLMn8nATS IntegrationPython
A UK recruitment firm's recruiters spent 60% of their time reading CVs. We built an AI automation pipeline that ingests CVs from any source, extracts structured profiles, scores candidates against each role with a bias-mitigation layer, and pushes shortlists straight to the ATS — same-day instead of 3–4 days.
85%
Reduction in first-pass screening time
10×
CV throughput per recruiter
3wk
Time to production
What clients say

Straight from the people we built for.

The computer vision system runs at 60fps and catches defects our human inspectors missed for years. ROI was positive in the first month. This team is exceptional.

F
Fahad A.
Operations Director · UAE

They actually understood our business problem before writing a single line of code. The discovery process was incredibly thorough, and the proposal they came back with was exactly right.

S
Sarah M.
Founder, E-commerce Brand · UK

The team delivered a working AI system in 5 weeks that our previous agency quoted 6 months for. The quality was better than anything we’d seen from vendors 3× the price.

J
James K.
CTO, Healthcare SaaS · US
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