Our Technology
PHP/Laravel at the application layer, connected to the leading AI providers — chosen by use case, not by preference.
We work in PHP and Laravel because that's the stack most of our clients run, and building in the client's existing language eliminates a whole category of integration friction. The code we deliver lives in your existing codebase, maintained by your existing team or ours — not in a separate service you have to manage.
On the AI side, we work with OpenAI, Google Gemini, Anthropic Claude, DeepSeek, and others. We choose the provider after understanding the use case — latency requirements, cost at volume, accuracy on your specific type of data. Most decisions come down to those three factors, not brand preference.
The infrastructure around the AI layer follows the same engineering standards as any other production dependency: error handling, retry logic, logging, cost controls, and fallbacks. An AI integration that doesn't have those isn't production-ready; it's a demo.
Our technical stack
PHP / Laravel
Application layer — the stack your existing platform almost certainly runs.
OpenAI, Gemini, Claude, DeepSeek
AI provider chosen by use case — latency, cost at volume, and accuracy on your data type.
MySQL / PostgreSQL
AI-generated fields stored in your existing schema — no new database required.
REST APIs & Webhooks
Integration pattern that works with any existing software — no SDK lock-in.