</ AI Audio Transcription System for Private Clinic Network >

We developed and implemented an intelligent speech recognition system that automatically converts audio recordings of doctor appointments into text format. This solution enabled a private clinic network to optimize medical staff workflows and reduce time spent on patient record completion

70%

Reduced transcription costs

Increased data processing speed

100%

Protected medical confidentiality

Client

A regional network of private clinics and diagnostic centers in several regions. Offering comprehensive diagnostics and support, combining modern technologies and specialists. Approximately 30 centers.

«Medexpert»

Partnering since 2024

Client website

"Implementing our own AI pipeline has radically changed our approach to Big Data. We not only secured patient data but also gained a powerful tool for appointment quality control. The hardware ROI exceeded all calculations".

Development Director

Alex

Data Digitization in Private Healthcare

The client was a large regional network of clinics and diagnostic centers, comprising approximately 30 branches. The company has historically focused on accumulating big data for subsequent application of Data Science methods and deep analytics. The project's main goal was to transform massive volumes of audio information — recordings of phone calls, administrator dialogues, and doctor appointments — into structured text format. The project was initiated due to the urgent need to store information in a compact format suitable for machine learning. Using external cloud services was categorically unacceptable due to high risks of sensitive information leakage and violation of strict medical confidentiality standards. A completely autonomous pipeline needed to be created.

Client Request: Secure Digitization of Terabytes of Audio

The challenge was to abandon third-party transcription services that worked slowly, were expensive, and created threats of patient personal data leakage. The company needed to convert thousands of hours of daily conversations into text while keeping all infrastructure strictly within a closed corporate perimeter. Manual processing or cloud APIs were unsuitable due to enormous volumes and security requirements.

Solution: Local MVP Development in 3 Months

The engineering team designed a high-load audio processing pipeline architecture based on the client's own server infrastructure. The methodology included purchasing high-performance equipment, deploying a neural network model, and writing a RESTful API for CRM integration. The basic version launch enabled immediate automatic voice-to-text conversion with subsequent NLP correction.

Stack: Python, Whisper, PostgreSQL, NLP, PHP, Vue

Was approved to ensure maximum performance on GPU NVIDIA RTX 3090. The system's core was an optimized OpenAI Whisper model, guaranteeing high speech recognition accuracy. Python was used for server logic, and PostgreSQL for reliable text storage. An additional layer of NLP models was implemented for semantic analysis and correction of raw transcription errors.

Impact: 70% Reduction in Transcription Costs

Exceeded initial expectations: the cost of processing one minute of audio was 7 times lower compared to external contractor rates. Data conversion speed increased threefold — now one graphics card consistently processes over 100 hours of recordings per day. The main achievement was ensuring 100% protection of medical confidentiality, as not a single byte of information leaves the clinic's local network, and ready texts immediately enter the database for analytics.

Future Plans - AI Scaling Across All Branches

Plans include connecting new medical divisions of the network to the system. We are preparing to multiply the volume of unique audio information digitization collected during actual appointments. This will enable training more complex predictive models, improving service, and elevating analytics to a new level of accuracy within the next year.

Launch Autonomous Analytics Right Now

Local speech recognition technologies have reached a maturity stage where their implementation pays off within months. Don't delay optimization: automating routine tasks will free up your team's resources and protect corporate data from leaks.

discuss a project

</ Our team >

Julia

Client Relations Specialist. She genuinely loves interacting with people, values trust, and makes sure every client feels cared for, supported, and confident in their choice. She also writes the “TechnoInvestor” column on our corporate blog.

@jamcaj

Vitaly

Lead Developer. Responsible for project architecture and the implementation of innovative solutions. Specializes in AI and draws inspiration from cutting-edge development and automation technologies. Hosts the “TechnoCoder” segment on the company's video blog

@eva3613

Vladimir

UX Designer. Develops intuitive and aesthetically pleasing interfaces, ensuring the logic, usability, and visual consistency of every digital solution the company creates. Writes the “TechnoDesigner” column for the corporate video blog

@XerucuS

Mikhail

AI developer and expert. Develops Telegram and WhatsApp bots, implements CRM and automation, and applies AI technologies to optimize UX/UI and drive project growth.

@Oerby2

Natalia

Lawyer. Ensures legal reliability and transparency in client relationships, reviews contracts, and protects clients’ interests at every stage of their interaction with the company

@assa13nv

Vladimir

Representative of the Laboratory in the U.S. (Florida). Developer.

@vlad_bykanov

Igor

Executive and business consultant. ERP/CRM and process automation developer. Tech evangelist—helps clients grow their businesses using modern technologies and solutions.

@lhtsu

</ Contacts >

Electronic Articles of Organization
For
Florida Limited Liability Company

Article I
The name of the Limited Liability Company is:
VV PRO.AI LLC

Article II
The street address of the principal office of the Limited Liability Company is:
7901 4TH ST N
STE 300
ST. PETERSBURG, FL, US 33702

The mailing address of the Limited Liability Company is:
7901 4TH ST N
STE 300
ST. PETERSBURG, FL, US 33702

Article III
The name and Florida street address of the registered agent is:
NORTHWEST REGISTERED AGENT LLC
7901 4TH ST N
STE 300
ST. PETERSBURG, FL 33702

Having been named as registered agent and to accept service of process for the above stated limited liability company at the place designated in this certificate, I hereby accept the appointment as registered agent and agree to act in this capacity. I further agree to comply with the provisions of all statutes relating to the proper and complete performance of my duties, and I am familiar with and accept the obligations of my position as registered agent.

Registered Agent Signature: TAYLOR NEWMAN. L25000372089, FILED 8:00 AM, August 13, 2025, Sec. Of State, fjeggleston

</ AI Audio Transcription System for Private Clinic Network >

Client

Data Digitization in Private Healthcare

Client Request: Secure Digitization of Terabytes of Audio

Solution: Local MVP Development in 3 Months

Stack: Python, Whisper, PostgreSQL, NLP, PHP, Vue

Impact: 70% Reduction in Transcription Costs

Future Plans - AI Scaling Across All Branches

Launch Autonomous Analytics Right Now

</ Our team >

Julia

Vitaly

Vladimir

Mikhail

Natalia

Vladimir

Igor

</ Contacts >

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