Artificial intelligence
OpenAI API (ChatGPT) integration
We connect OpenAI models to the apps, CRM and processes in your company. We design it so you can change the model provider without rebuilding the whole system.
What we can do for you
Integration with your app
Model-based features built into your product: summaries, answers, classification, translation.
Assistant on your data
Answers based on company documents through RAG, with source citations.
Prompts and tools
Designing instructions, response formats and function calling into your system.
Cost and security
Usage limits, monitoring, data anonymization and GDPR compliance.
About this service
AI adoption in a company usually starts with a single process: handling customer inquiries, processing documents, searching company knowledge or forecasting. Depending on the task we build chatbots and assistants, AI agents, process automation, OpenAI API (ChatGPT) integration, generative solutions with RAG, or predictive models.
As a software house we handle the engineering side: connecting the model to your systems, data security (with GDPR in mind), control of model usage costs, and the ability to switch providers without rebuilding the application.
Why Cormo
Vendor independence
The integration layer lets you switch to models from other providers, including Claude or Gemini.
Cost control
You see usage per user and feature, so the bill is easier to predict.
Production ready
Error handling, retries, limits and answer quality tests.
Technologies
- OpenAI API
- Python
- Laravel
- Node.js
- RAG
- pgvector
Experience you can rely on
For years we have built business systems in PHP, Python and JavaScript. We treat language models and machine learning as one more component of such a system: first we establish which process should benefit and what data that requires.
We work in line with ISO/IEC 27001
Data security is part of our process, not an add-on at the end of a project.
How we work
- 01
Meeting
We learn the business goal, the users and the project constraints.
- 02
Estimate
We settle the scope, a first estimate and a schedule.
- 03
Delivery
We design, build and test in short iterations.
- 04
Support
We deploy, monitor and evolve the solution after launch.
Estimate calculator
Estimate your project in 2 minutes
Answer a few questions and we will prepare a first estimate and send it to your email. No strings attached.
See also
Chatbots and AI assistants
An assistant that answers customer and employee questions from your documents, price lists and procedures, and hands the case to a person when needed.
AI agents
An AI agent does not only answer, it acts: it fetches data, calls APIs, prepares documents and asks for approval where a person should decide.
Process automation
We take over repetitive work with documents, emails and spreadsheets. Your team handles exceptions and decisions instead of retyping data.
Generative AI
We connect language models to your company knowledge. With RAG, answers rely on current documents and not only on what the model learned earlier.
AI consulting
Before you invest in artificial intelligence, we check where it will bring a measurable result, which data is needed and what it will cost.
Predictive AI
The data your company already holds can suggest decisions. We build models that forecast demand, flag deviations and assess risk.
Data science and analytics
We organize data from many sources and present it in a form you can use daily: reports, dashboards and analyses for management and teams.
AI document processing
Instead of retyping invoices, contracts and orders, the system reads them, pulls out the needed data and hands it to accounting software or an ERP system. A person checks only what is uncertain.
Computer vision
A camera or a phone photo can be a source of data. We build systems that recognize objects, read labels and detect deviations, and pass the results to your software.
AI for e-commerce
A store holds data that can turn into sales: order history, search queries and product descriptions. We add AI features that help customers and save your team time.
AI-powered applications
We help you build a new AI-based product or add AI features to an existing app or SaaS platform, so they are fast, secure and affordable to run.
Frequently asked questions
How do you integrate ChatGPT or the OpenAI API into a company app?
We call the model from the server side, so API keys are never exposed in the user’s browser. Typical features are summaries, ticket classification, translation, or answers based on company documents (RAG) with source citations. We design an intermediate layer so the model provider can be changed without rebuilding the system. You receive the code, prompts, response formats and documentation, all owned by you.
What does an OpenAI integration project look like and how long does it take?
We start by choosing one use case and preparing a set of real examples to measure answer quality. Then we build a prototype, test it on your data and only afterwards connect it to the application. We work iteratively, so prompts and rules are tuned on results, not guesses. Duration depends on the number of knowledge sources and integrations with other systems, so we set the schedule after the first prototype.
What drives the cost of a ChatGPT integration and of running it later?
There are two separate costs: building the integration and the ongoing use of the model. The first depends on feature complexity, the number of data sources for RAG, the quality control you need and integrations with your systems. The second depends on the chosen model, request length and volume. That is why we add limits, caching and usage monitoring, and estimate the cost of a single use before launch so you can forecast spending as traffic grows.
Is my company data safe when it is sent to OpenAI?
It depends on configuration, so we discuss it at the start. We limit what is sent, anonymize personal data where possible and review the provider’s terms for processing and retention. We follow security practices aligned with ISO/IEC 27001 and take GDPR requirements into account. Models can also be wrong, so for important answers we show sources and plan for human review instead of trusting output blindly.
What if OpenAI changes the model or pricing, or I want another provider?
That is why we separate business logic from any single provider from the start. Switching a model or provider then means configuration and re-running quality tests, not rewriting the application. The set of sample questions prepared at the beginning serves later as a regression test after every change. After launch we can monitor quality and costs and update prompts, but the code and documentation are yours, so you are not locked in to us.
Get in touch
Tell us about your idea
Describe what you need. We will reply with a proposal for the next steps.