OPENAI DEVELOPMENT SERVICESOpenAI Development Services for Chat, Search and Assistants
We add OpenAI APIs to real products — assistants, search over your documents, and text features that sit behind login. That work is usually Python or Node.js, with your data kept under your control. If you want a new OpenAI feature or a safer version of one you already have, we can help you plan it and deliver it.
from openai import OpenAI client = OpenAI()reply = client.responses.create( model="gpt-4.1-mini", input="Summarize this note.",)14+
OpenAI engineers on staff
29+
OpenAI projects shipped
2 yrs
OpenAI experience
97%
Client satisfaction
About OpenAI
OpenAI provides hosted models you call over an API. You send text (and sometimes images) and get a reply. You do not train the base model yourself. You design the prompts, the tools the model may call, and how your product stores and filters what users send.
Companies use it for support assistants, draft writing, search over private files, and internal tools. Python and Node.js are the usual servers. Retrieval — looking up your documents first — is how most serious products keep answers on-topic.
An API key is not a product. The product is the workflow around the model: who can use it, what data it may see, how you log usage, and what happens when the model is wrong.
Why Choose OpenAI
No training cluster to start
You can ship a useful text feature without running GPUs. That is a good fit when the first version is an assistant, not a custom model.
Fits Python and Node.js
Official libraries work in the same backends you already run. The feature can sit next to your existing login and data.
Search over your own files
Embeddings plus a store of your documents let the model answer from your content, not only from general training.
Tools the model can call
The model can request a function in your API — look up an order, create a ticket — instead of inventing facts.
A path to stricter setups later
If you later need a private model, the product around prompts, retrieval and logging can stay. You are not starting the app again.
What We Do With OpenAI
We plan and build OpenAI features inside products. New work or an existing prototype. The aim is something staff and customers can use, with limits you can explain.
Assistants in your product
We add chat that knows your screens and rules, with login, history and a clear place where a human can take over.
Search over documents
We index files or knowledge base pages and retrieve them before the model answers, so replies stay closer to your content.
Python and Node.js backends
We keep the API key on the server, not in the browser or the mobile app, and we log usage in a way you can review.
Function calling
We let the model call your APIs for real data — orders, users, tickets — instead of guessing.
Safety and limits
We set rate limits, allowed topics and what is stored, so the feature does not become an open pipe to your data.
Improve existing OpenAI use
If prompts are messy or the key is in the client, we can tidy the flow and make the next change easier.
Benefits for Your Business
A first version without a lab
Staff can try an assistant or search feature while you still decide whether a custom model is worth it.
Answers tied to your data
Retrieval keeps the model on your documents. That is more useful than a generic chat box on the website.
Keys and data stay on the server
Done properly, customers never see the API key. You can see who used the feature and for what.
Room to grow
You can add tools, more document sources or a private model later without throwing the product workflow away.
Ready to Talk?
If you are planning an OpenAI feature, or you already have one that needs work, send us a short note about what you want to build. We will review it and come back with an honest next step.
Contact us