Speech & voice AI development
A lot of useful information is spoken in customer calls, meetings, field reports and voice messages, and never written down.
We build speech systems that turn these recordings into searchable text and structured information, and voice interfaces that let people talk to your systems.
What speech AI does
Speech recognition converts audio into text. That is only the first step; the useful part usually comes after it: finding the reason for a call, filling in a form or spotting the moment a customer became unhappy.
Off-the-shelf services work well on clear, standard speech. Business recordings are harder. Phone lines are noisy, people talk over each other, and many speak with regional accents or switch between Turkish and English in the same sentence. Much of the work in a speech project goes into getting systems to hold up on that kind of audio.
What we build
Call transcription and analytics
Turning customer calls into text and summaries, then tagging topics, reasons for calling and outcomes across thousands of calls.
Meeting and interview notes
Transcripts with speaker labels, short summaries and lists of decisions and follow-ups.
Voice interfaces
Spoken access to an assistant or system, for staff whose hands are busy or for customers on the phone.
Spoken forms and field reports
People dictate a report or an inspection note, and it is split into the fields your system expects.
Searchable audio archives
Large recording archives that can be searched by what was said, as well as by date or file name.
Subtitles and captions
Subtitles for training videos, webinars and recorded events, timed to match the speech.
When it's a good fit
Where it pays off
You have many hours of recordings that nobody has time to listen to, or people who need to enter information while their hands or eyes are busy.
A standard service may be enough
If the audio is clean and privacy rules allow a cloud service, an existing product may be the faster option.
Questions to settle first
If recordings are not kept, or it is unclear whether consent to record was given, settle that before any model is trained.
How a project runs
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Listen to your recordings
We start with a sample of your audio and decide with you what the output should be: a transcript, a summary, a set of fields or an action.
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Test existing models first
We try current speech models on your recordings to see where they already work and where they make mistakes.
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Adapt to your audio and vocabulary
Where needed, we adapt the models to your product names, terminology, accents and recording conditions, using a small set of carefully checked transcripts.
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Connect the output
We send transcripts and extracted information to where they are used, such as your call center software, records system or assistant.
Accents, noise and mixed languages
We measure quality on your own recordings and report it separately by line quality, accent and topic. One average across all calls would hide the weak spots.
Names, numbers and terms specific to your business are checked separately, because a single wrong word there can change the meaning of a whole call.
What you receive
- A speech pipeline that runs on your infrastructure or a cloud setup you approve
- Models adapted to your recordings and vocabulary, where adaptation was needed
- A test set built from your own recordings to check future changes
- Code and documentation, handed over to your team
Frequently asked questions
Can call recordings stay on our own servers?
Yes. If you prefer, the whole system runs on your servers, and audio and transcripts stay in your environment. Personal data in recordings is handled under the data protection rules that apply to you.
Does speech recognition work on Turkish phone calls?
Yes, including calls that switch between Turkish and English in the same sentence. Line quality and accents affect results, so we test on recordings that reflect how your customers and staff actually speak.
What do you need from us to start a speech AI project?
A sample of your recordings, a clear idea of what you want to get out of them, and some time from people who know the calls or conversations well.
Does it work with our existing phone or call center system?
It usually does. Most phone systems can export their recordings, and the results go back into the tools your team already uses.
What happens when new products or terms come up?
The models can be adapted to the new vocabulary, and the test set from your recordings shows whether anything got worse. We can keep supporting these updates or hand them over to your team.
Work with us
Tell us in a few lines what you're working on. We'll get back to you.
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