Every AI project stalls on the same worry, which is where your data actually ends up. We answer that in writing before a model reads anything.
Secure AI integration deploys a language model under privacy controls that are decided before the build. Retention is switched off at the endpoint, so your inputs never enter a training set. Where that is not enough, the model runs inside a network you own rather than ours. Every decision about where a record may sit is written down, which is the document a review asks for. Compliant AI app development is mostly that record.
AI work stalls at the same question every time. Somebody asks where the data goes, and no one in the room has an answer written down. The project then waits for a review nobody scheduled.
Customer data ends up in a vendor's logs, because a default was never changed by anybody. Nobody chose it and nobody wrote it down.
A model is shown a table and the fields it read are never listed anywhere. A year later the question comes up, and the only answer anybody has is a guess.
Data handling gets examined once the feature is written, which is the most expensive moment to find a problem. Everything then waits on a rewrite nobody costed.
Calls run against endpoints with retention switched off, so an input is processed and not kept. Somebody has to turn that on for each provider, and we check it rather than assuming a default.
An open weight model runs inside a network you own, on your own cloud account or your own hardware. No request leaves it, which is the only version some work can be signed off under.
Every field a model reads is written down, with where it goes and how long it stays. That document is what a store review or an auditor asks for, and it exists before the build starts.
We list every field a model would read and agree where each is allowed to sit. That list is the document everything after it is built against, and it is yours whether we build or not.
Retention goes off at the endpoint, or the whole model moves onto hardware you own. Access is scoped, and every call the model makes is written to a log a person can read.
We run it against real traffic and check the logs say what the document says. You finish holding the deployment and the keys, with a record of every decision made.
Both answer the question. They differ in where your records go on the way, and in what you can show somebody who asks.
| Measure | Consumer AI tools | Secure deployment |
|---|---|---|
| Used for training | Often, by default | Never, retention is off |
| Where it runs | Somebody else's shared tenancy | Your own account, or your own hardware |
| Who can read the logs | Their staff, on their terms | Yours, on yours |
| What you can show a reviewer | A vendor's policy page | Your own field list and logs |
| If the answer is wrong | No record of the input | The call is in your own log |
Three systems in which the data decides the architecture rather than the other way round.
A video consultation produces a transcript worth summarising and far too sensitive to send out. It runs against an endpoint with retention off, or a model inside your own network, and the field list is documented either way.
The posts are the thing members trusted you with. Moderation runs against your own rules, on infrastructure you control, and nothing about a closed testing group leaves it.
Contracts and filings are the clearest case for an open weight model hosted in house. The work costs more to run and the records never leave the building, which is usually the trade that gets signed.
Residency is a decision rather than a default, and it is made before anything is built. The same engineer stays with it, from that first decision 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.
Juan VásquezSep 2025Appkodes exceeded all of our expectations! From the very first contact, the team demonstrated a high level of professionalism, technical expertise, and commitment to quality.
Global SoftwinMay 2025Appkodes 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.
WassimApr 2025I so much love your services and I will continue to patronize your company.
Kolawole Alaba JohnsonApr 2025I 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.
Яша ФирузApr 2025It 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!
Prem SharmaApr 2025I 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.
Fast Fiber NetworksApr 2025Appkodes 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.
BaderApr 2025Overall 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.
Vannala RajuApr 2025Initially, 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.
Ahmed NhariApr 2024You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.
Deniz SeçerJan 2024Very 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.
Anu JosephJul 2023Mani 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!
Joely CineasJul 2023It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer
GomezApr 2023I'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.
JohnFeb 2023I 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.
Zack GizawDec 2022Businesses we have built for
No, on an enterprise endpoint with retention switched off. Inputs are processed and not kept, and they do not reach the pipeline that trains a public model. Somebody has to configure that for each provider, and we check it rather than trusting a default.
We produce the thing a review asks for. That is a written account of every field the model reads, where it goes and how long it stays. The submission and the decision stay with you, and no supplier can honestly promise the outcome of somebody else's review.
An enterprise API is rented. You call their model and configure it to keep nothing. An open weight model is hosted by you, so it runs on hardware you control and no request leaves your network. It costs more to run and answers the question completely.
Yes, and it is worth saying plainly. You pay for hardware or a reserved instance whether or not anybody uses it, where a hosted endpoint charges for what you send. The audit puts both numbers in front of you first.
We do not claim one, and you should be careful with any supplier who does without naming the auditor and the report. What we can show is the process: the field list, the retention settings and a log of every call, all of which you keep.
You keep it. Week one produces the field list and the residency decisions. They are useful to whoever builds this, whether that turns out to be us or somebody else.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.
