Your own infrastructure
Material that cannot leave the building
An open weight model runs inside your network and the records never reach anybody else. What you give up is some capability, and what you get is a boundary you can point at.
Custom AI model development
Your own model, hosted where you choose.
Most businesses are fine on a hosted endpoint. It comes down to where the data has to stay, or what the model has to sound like. This is the work for the second kind.
- Runs on hardware you control
- Open weights, no licence to renew
Your own materialRecords and terms
Your own voiceHow it should sound
Tuned on itWhen prompting stops working
Or prompted wellCheaper, and often enough
On your hardwareNothing leaves
Or on an endpointRetention off
What custom AI model development is
Custom AI model development covers two things a hosted endpoint cannot offer you at all. The first is a model that runs on infrastructure you own, so records never leave your network. The second is a model tuned to your own material, whether that means the language of your industry or the voice your software answers in.
When a hosted endpoint is not enough
A general model behind somebody else's API is the right answer most of the time, and it is worth saying so. It stops being the right answer when the data cannot leave, or when the cost per call outgrows a server.
- 01
The records are not allowed to leave
Some material cannot be sent to a third party. That rules out a hosted endpoint.
- 02
The bill grows with the traffic
Per call pricing is cheap until volume arrives. At a certain point your own hardware is simply cheaper.
- 03
The general model does not speak your language
Industry terms get mangled by a model trained on everything. Tuning on your own material fixes what prompting cannot.
What we build here
- 01
Private model deployment
An open weight model running on your own hardware, or in your own cloud account. No data leaves, and no per call meter runs.
- 02
Tuned on your own material
Fine tuning teaches a model the vocabulary your work uses. It is the fix when prompting stops being enough.
- 03
Speech in and speech out
Transcription for what people say to your software, and generated speech for what it says back. Both can run privately.
How the first three weeks run
- Week 1
01We check whether you need this
Two days on the constraint that made you ask. Sometimes a hosted endpoint configured properly is the honest answer.
- End of week 2
02You get a costed plan
The plan prices the hardware and the work. You decide whether the move is worth it.
- From week 3
03It runs beside what you have
The private model goes up alongside the hosted one, and both answer the same questions. Comparing them on your own material is the test.
A hosted endpoint against your own model
Most projects should start hosted. This compares them for the cases where that stops working.
| Measure | A hosted endpoint | Your own model |
|---|---|---|
| Where the data goes | To a third party, retention off | Nowhere, it stays on your hardware |
| What it costs | Per call, growing with traffic | The hardware, flat once it is running |
| Your vocabulary | Handled by prompting, mostly | Learned, if you tune it |
| Keeping it current | The provider upgrades it for you | You decide when to move |
| Getting started | An API key and an afternoon | A decision worth costing first |
Where a custom model earns its place
Three situations where a hosted model is the wrong tool. Each has a page of its own below.
Your product's interface
Speaking instead of tapping
Somebody says what they want instead of tapping through four screens of form fields to get there. The words are transcribed and turned into the action intended.
Your recorded audio
Conversations that become records
Calls and sessions are transcribed, then structured into searchable notes. Where the audio is sensitive, transcription runs on your hardware.
What you give up and what you get
Your own model is a trade rather than an upgrade. It is worth making deliberately, and it is worth being told when it is not.
- You get a hard boundary
- Data on your hardware does not reach anybody, by architecture.
- You give up some capability
- The largest hosted models are still ahead on hard reasoning.
- You take on the upkeep
- Somebody has to run it. Usually us, and it is a real cost either way.
What a private deployment is built from
Open weight models and ordinary infrastructure. Nothing here is a requirement, and the work goes ahead against whatever hardware you already have.
- Models you can host
- LlamaThe usual open weight starting pointMistralSmaller, and often enoughQwenStrong on multilingual work
- Speech, both directions
- WhisperTranscription that can run privatelyTwilioWhere the calls come inClaudeUnderstanding what was said
- Where it runs
- DockerSame on your hardware or oursAWSYour own cloud accountPostgreSQLTranscripts and records
What people sayNot our words.
Not our words.
Theirs.
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.
Trustpilot4.4out of 5Excellent29 reviews · checked 19 August 2026Read all of them
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.
Trustpilot
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 2025Trustpilot
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.
Global SoftwinMay 2025Trustpilot
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.
WassimApr 2025Trustpilot
I so much love your services and I will continue to patronize your company.
Kolawole Alaba JohnsonApr 2025Trustpilot
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.
Яша ФирузApr 2025Trustpilot
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!
Prem SharmaApr 2025Trustpilot
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.
Fast Fiber NetworksApr 2025Trustpilot
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.
BaderApr 2025Trustpilot
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.
Vannala RajuApr 2025Trustpilot
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.
Ahmed NhariApr 2024Trustpilot
You have been supporting me very quickly in every matter, especially in the last 2 months, and this makes me very happy.
Deniz SeçerJan 2024Trustpilot
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.
Anu JosephJul 2023Trustpilot
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!
Joely CineasJul 2023Trustpilot
It was really great, they are there for me whenever I had a problem or to fix something. Thank you so much Ameer
GomezApr 2023Trustpilot
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.
JohnFeb 2023Trustpilot
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.
Zack GizawDec 202216 of 29 reviews, plus 4 videos
Businesses we have built for
Frequently asked questions
Do custom AI voice models handle accents and other languages?
Languages yes, accents less well than the marketing suggests. Word error rates climb with an unfamiliar accent or background noise, which is measurable and worth measuring on your own recordings before committing. Tuning on your own audio is the fix, and it is a large part of why this service exists.
How do microphone permissions and consent work?
Consent gets asked for in the interface before anything records, and what happens to the audio afterwards is decided in the same conversation. Store reviews look closely at anything touching a microphone, so those decisions belong in the build rather than at submission.
Should processing run on the device or in the cloud?
On the device when the audio cannot travel or the connection is unreliable, and in the cloud when the reasoning matters more. Smaller local models are noticeably weaker, so the honest version is that this is a trade rather than a free choice.
When is private AI model deployment actually worth it?
When data residency requires it, or when the volume makes per call pricing more expensive than a server. Below those thresholds a hosted endpoint with retention switched off is usually the better answer, and we will say so in week two.
What does speech-to-text AI integration involve?
Getting audio into your system, transcribed, and turned into something the software can act on. The transcription is the easy half. Deciding what a sentence means and what to do about it is where the work is.
How is this different from the pages below it?
This page is the decision and they are the builds. Fine tuning a private model and adding voice to telephony are the two specific jobs. Each has a page of its own.
Next stepLet AI do the repetitive
Let AI do the repetitive
half of the job.
Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.
