Gated Community Management Platform
A 640-flat community moved from paper gate registers and spreadsheet accounts to one platform…
We build AI features that pay for themselves. That means starting from a specific, expensive, repetitive process and asking whether a model can do it faster or more consistently than the current approach.
Typical engagements include document extraction that removes manual data entry, demand forecasting that reduces stockouts, customer assistants that deflect routine support tickets, and computer vision for quality inspection on the production line.
Honest scoping
If a rules engine will solve your problem more reliably than a model, we will tell you. We measure baseline performance before we build, so the improvement is provable rather than assumed.
What is included
- Document data extraction and intelligent OCR
- Demand, revenue and inventory forecasting
- Customer support assistants and internal knowledge search
- Computer vision for inspection and monitoring
- Recommendation and personalisation engines
- Sentiment and feedback analysis at scale
- Model monitoring, drift detection and retraining
- On-premise deployment where data cannot leave your network
Technologies we use
PythonTensorFlowPyTorchscikit-learnLangChainFastAPIPHP 8.3 integration layer
Related work
Projects in this space
Multi-Campus School ERP
Three campuses, 4,200 students and one student record — replacing four disconnected systems.
B2B Industrial Commerce Portal
A 14,000-SKU catalogue with negotiated pricing, credit terms and approval workflows for corporate buyers.
Free consultation
Let us talk about what you are trying to build.
Tell us the problem and we will tell you honestly whether software is the right answer, what it would take, and what it would cost. No obligation.