Shared expenses that settle themselves
A household budget or a trip splits a bill between several people, and every entry moves what each of them owes. The API recalculates those balances as transactions arrive.
We wire OpenAI or Claude into the endpoints your system already exposes, and nothing else moves. Nobody in house holds an API key.
Custom AI API integration connects a hosted model to software that already exists, through the API that software already exposes. A wrapper sits in front of your own logic and calls it, so the model asks and your rules answer. Keys stay on the server, and the integration can be removed without touching the system underneath.
Anyone can call an API once. A live product is where it gets difficult. Keys leak, and a model that times out can take a whole screen down with it. None of that argues for a rewrite.
The API key sits in somebody's environment file and the monthly bill goes to whoever set it up. Neither has an owner once that person moves on.
Every request goes to the largest model, because that is what the demo happened to use. Usage doubles and spend doubles with it. Nobody notices until an invoice says so.
An established app carries a release process and users who expect it to keep working. A rebuild puts both at risk, and a new store review, to add one feature.
We wire OpenAI and Claude in through the framework your system was already built on. Model choice stays a setting rather than a rewrite, so swapping one for the other later costs an afternoon.
A layer in front of your own logic, calling the functions your system already exposes. The model reads what somebody asked for, and your own rules decide what happens next.
Small models take the easy work, and the large one takes only what needs it. Caching and a hard ceiling on spend are built in rather than added after the first surprise.
We read what your system already exposes and pick the calls the wrapper will make. Keys move to the server, and a spend ceiling goes on before anything else runs.
The wrapper goes in, with caching and a fallback for the moment the model is slow. Retention is switched off at the endpoint and then checked.
We watch token spend against real traffic and move the cheap work to a smaller model. You finish holding the keys and the prompts, with a record of every decision made.
Both end with software that does something intelligent. They differ in what you spend to get there and what you are left maintaining.
| Measure | Training a custom model | Integrating an LLM API |
|---|---|---|
| Time to first result | Months of data work | Days |
| What it needs | Labelled data you may not have | An endpoint you already expose |
| Ongoing cost | Training runs and hosting | Tokens, and a ceiling on them |
| When the field moves | Retrain, or fall behind | Change one setting |
| Who maintains it | Somebody who knows the model | Whoever holds the keys |
Each of these is a live application with an API and a job the model does behind it.
A household budget or a trip splits a bill between several people, and every entry moves what each of them owes. The API recalculates those balances as transactions arrive.
An electronics inventory system already knows what sold and what is still on the shelf. An endpoint over that history predicts the stockouts and flags the lines whose valuation has drifted.
A live video consultation produces a transcript worth summarising and too sensitive to send anywhere. It goes through an endpoint with retention switched off, or a model on hardware you own.
A closed community generates more posts than anybody reads. The API reads each one against your own rules and sends a person only what it could not decide.
The endpoint you call decides where your data sits, and that choice is made before anything is built. The same engineer stays with it, from the first call right through to the handover.
We fit the AI into the systems you already run. Nothing on this list is a requirement, and the work goes ahead against whatever your software was built on.
Every quote here is a real Trustpilot review. We did choose which ones to show you. The score beside them is the part we do not control, and it counts all 29 reviews.
These reviews are for Appkodes, our software product division.
A Joysale client on the product and the service
He runs a marketplace built on Joysale, our Letgo style product. The clip is his own account of working with us.
A Fantacy client on the build
Fantacy is our Amazon style retail product. He goes through what was built and how the work ran.
An Airfinch client, filmed after his written review
Airfinch is our Airbnb style rentals product. He had already left the same review on GoodFirms before recording this.
A second Joysale client on the same product
Another marketplace running on Joysale. Worth watching beside the first, since the two bought the same thing.
I've worked with Appkodes for 7 years on 4 different projects. We constantly require support or the implementation of new features, and we have the guarantee that the quality of their work remains the same throughout this time.

Appkodes exceeded all of our expectations! From the very first contact, the team demonstrated a high level of professionalism, technical expertise, and commitment to quality.

Appkodes team helped me to launch my healthcare application very quickly. Their software was very close to my requirements and adding some extra features made my project easy.

I so much love your services and I will continue to patronize your company.

I worked with AppKodes for a website and mobile app development project, and overall, I'm very satisfied with the results. Their team was responsive and flexible throughout the process, and they delivered a product that met my expectations both in design and functionality.

It was a good experience working with the team. They understood my ideas clearly and built everything as expected. The team was supportive, quick to respond, and helped me whenever I needed changes. Thank you for your hard work and support!

I have got a mobile app project going on successfully with the team. Their Support is good. turn around time for any requirement is great. Every detail of my app is meticulously designed. THANK YOU APPKODES.
Appkodes is a leader in developing high-quality applications and websites. It was a pleasure working with them, and this certainly won’t be our last collaboration. My experience was exceptional, they developed an outstanding app and website, with smooth and refined interactions.
Overall very good experience. I have been availing services for past 3 years. They are available for discussions and resolving issues whenever we faced any. Mr. Saravana has been looking after our project and I'm very much happy with his timely response. I would definetely recommend.

Initially, I was hesitant to deal with them, believing their customer service would be poor. However, I was surprised. They act with great responsibility and professional efficiency. My regards to them.

You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.

Very professional. Our project was quite complex and they covered all the aspects. Appkodes did an amazing and professional job developing and creating our Apple and Android apps. I was positively impressed with the communication you can absolutely trust on what they say.

Mani and Saravanan of the Appkodes team are amazing, they have done the best to create and support my project! I give them 10/10 stars for their efforts and work!

It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer

I've been working with Appkodes for almost a year and i can recommend them to work with as they are so much friendly and professional and you can clearly see it once you start your project right away. They are intact and they are transparent with their communication.

I have to be honest, sometimes it's hard to find a company or someone abroad to do your project. Not only might you waste your time and money, there is this thing called trust. In business you must trust the person you are dealing with.

Businesses we have built for












It goes to an enterprise endpoint with retention switched off, so your inputs are processed and not kept. Where that is not enough, an open weight model runs on hardware you control and the data never leaves it.
Three levers, all of them set up during the build rather than after a large invoice. Cheap work goes to a smaller model, repeat questions come from a cache, and a hard ceiling stops spend before it surprises anybody.
Yes, and it is usually worth doing. Model choice sits behind the wrapper as a setting. One can handle documents while another answers questions, and either can be swapped without touching your system.
No. The wrapper calls the API your software already exposes. Your release process and the screens your users know all stay exactly as they are.
You do. The keys live in your own provider account, and they do so from the first call. They stay server side, never shipped to a browser.
The wrapper falls back rather than hanging. A timeout returns the answer your system would have given before the integration existed, so a slow model never becomes a broken screen.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.

