KINO Production
KP Tech

Technologies that make localization native

Our engineering team creates a platform that transforms translation into artistic adaptation — from text to final sound

Mission
Making content native

Emotional Accuracy

We don't just translate words — we restore intonation, rhythm, and character traits, so the viewer feels the original.

Engineering Reliability

Architecture and pipelines that withstand load and provide stable quality at scale.

Cultural Responsibility

Control of terminology, context, and sensitive moments — a combination of automation and expert supervision.

“Localization is both an engineering discipline and an artistic choice. We design both.”

Technologies

The main components and technologies developed by our team that create our working processes

Intelligent text recognition system

A component that performs intelligent analysis of scenes, situations, dialogues, emotions and environments

A platform for localizing feature films

A key component that performs the active part of localization and language adaptation of films, with fine-tuning of the parameters of each element

Team
A small, strong, and effective team
Ekaterina — Head of Department

Ekaterina

Head of Department

Our Head of Department — she has been with the team since before the automated platform, witnessing legacy processes, the team's growing expertise and technological evolution, and she led a complex development initiative

“Our goal is to make localization part of the original experience, not just a translation of words.”
Anton — Project Tech Lead

Anton

Tech Lead

Our Core Engineer — a Tech Lead and DevOps specialist. He authored the platform core, microservices, prepared the system for scaling, and now leads our DevOps and reliability strategy

“Infrastructure should be so transparent that the team can only think about product quality.”

We are hiring

Python Backend Developer

Development of platform microservices: media processing, task queues, integrations

Stack: FastAPI, Pytest, PostgreSQL, Redis, RabbitMQ, Docker, Git