AI That Plugs Into What You Already Run

Integrating OpenAI, Claude and Gemini into your product and internal tools, with limits, logging and fallbacks built in.

about service

about service

The Value Is in the Plumbing

A model on its own is a demo. The useful part is everything around it: reading from your database, writing back to the right system, handling a failed call, and not falling over when the provider is slow. We have added AI features to software that already had users, including Descripio, and built Python services with OpenAI at the core, as with CVKOM. The work is rarely the model. It is the integration, the rate limits and the behaviour when something goes wrong.

What you get

What an AI integration gets you

01

Your systems connected

The model reads from and writes to the places your data actually lives.

02

Your product left stable

A new feature that does not put the existing one at risk.

03

Failures handled

Timeouts, rate limits and bad responses have a planned outcome.

04

Cost under control

Limits and logging so usage cannot quietly run away.

05

A human in the loop

A person can review and correct where it matters.

06

Conventional code

Structured so another developer can maintain it.

OUR PROCESS

How an AI integration runs with us.

  1. 01
    Map the systems

    What data exists, where it lives and where the output needs to go.

  2. 02
    Design the connection

    Retrieval, limits, fallbacks and the point where a person steps in.

  3. 03
    Build and test

    Tested against real traffic patterns and real failure cases.

  4. 04
    Release safely

    Rolled out with cost logging and a way to switch it off.

TECHNOLOGY STACK

Technologies we use.

The stack we reach for most on this kind of work. Every one of these has shipped on delivered client work.

python

python

openai

openai

claude

claude

gemini

gemini

node js

node js

laravel

laravel

vector databases

vector databases

rest api

rest api

IS THIS YOU?

This is probably the right fit if one of these sounds familiar

  • You want AI inside your product but cannot risk breaking what works.

  • You have a prototype that works on its own but is not connected to anything.

  • Your team copies data between tools and an AI step would remove that.

  • An earlier integration is unreliable because nobody handled failures.

  • You are unsure which model provider to build around.

  • You need the integration to work with your existing Laravel, Node or Python back end.

We work with clients in the USA, Europe and the Gulf. Tell us what you have and what it needs to do, and we will tell you honestly whether we are the right fit.

Book a free consultation