OneSkyלבקר דף: פלטפורמת בקרת אי-פאוור למקסמיזציה של יישומים, משחקים ואתרי אינטרנט כדי להשיג שוקי-עולם

What is OneSky Localization Agent (OLA)?

OLA is your AI localization team. It is a group of AI agents that specializes in localization tasks that handle all localization tasks in a smarter way. You set the style guide and preferences, and OLA manages the rest of the localization process the way a dedicated team would: 🤖 Cherry-picks the best translation from various off-the-shelf LLMs 🤖 Checks the quality of translations, including verifying context implementation and app-specific formats such as placeholders 🤖 Generates glossary entries from newly important translations 🤖 Enables feedback for optimization 🤖 Provides reports on translation quality and localization insights for the projects 🤖 Corrects translation issues and flags unfixable ones for human review and post-editing

Asked by Wolfgang Krause · Feb 24, 2026

How does OLA work?

OLA is designed to automate AI translation and localization tasks, by integrating seamlessly into your workflow. It is triggered by the connected service from your system, calling to perform automated localization through multiple role-specific satellite agents, including: 1. AI localization manager to fill in context based on your style guide, preferences, and cross-string attributes. 2. AI translators to translate source text. 3. AI voters to vote on multiple options per source text, selecting the most appropriate candidate. 4. AI reviewers to double-check the context, validate the translated content format, and make changes if necessary. 5. AI evaluators to screen the reviewed translations using metrics from machine translation quality scoring algorithms, and flag those that require follow-up. 6. Loops feedback until no further optimization is achievable by AI. The AI agents work together like a translation agency collaborating seamlessly to deliver high-quality results. We’ve developed a suite of tools and a knowledge base that enable these agents to self-evolve by leveraging advanced AI technology. The more context you share, the more perfectly the results match your style and preferences.

Asked by Petra Vogel · Feb 22, 2026

What content types does OLA support?

OLA supports a wide range of string file and document content types, with a focus on web and mobile apps. We handle over 30 string file formats, from specialized app localization files to general-purpose formats such as: 📱 iOS Platform: .plist – Property List (XML), .strings – iOS Strings Resource, .stringsdict – iOS Strings Dictionary (XML), .xcstrings – String catalogs (Xcode). 📱 Android Platform: .xml – Android XML. 🌐 Web Platform: .hjson – i18next Hierarchical JSON, .ini – INI configuration files, .js – Require.js, .json – Multilingual JSON, .mjson – i18next Multilingual JSON, .php – PHP arrays, .php – PHP short arrays, .php – PHP variables, .po – GNU gettext PO files, .properties – Java Properties, .resx – .NET Resource files, .ts – TypeScript (QTTS), .xliff/.xlf – XML Localization Interchange File Format, .xliff – Symfony XLIFF, .xml – Java Properties XML, .yml/.yaml – YAML, .yml/.yaml – Ruby YAML. 📄 Document Formats: .tmx – Translation Memory eXchange, .txt – Text file, .xls – Excel 97–2003, .xlsx – Excel (modern) and more.

Asked by Joanna Kowalski · Feb 23, 2026

Why choose OLA over other AI localization solutions?

OLA simplifies localization workflows with an AI team of agents. All you need to do is share your style guides and preferences and delegate tasks, and the AI team delivers high-quality translations along with quality reports and project insights. With its multi-agent approach, OLA achieves significantly higher quality than standard AI translation. From pre-translation to translation and post-translation, the collaborative architecture ensures consistent accuracy and delivers results that exceed 90% human-like quality.

Asked by Marisol Pena · Feb 9, 2026

Why choose OLA over building your own solution with off-the-shelf LLMs?

We continuously integrate the latest versions of LLMs. By integrating multiple LLMs, we offer a mix-and-match approach that configures the best solution tailored to your specific needs. We provide tools that maintain control over content and context in localization processes. Unlike translations generated using a single LLM prompt, our multi-agent collaborative architecture throughout the entire localization process delivers over 90% human-like results.

Asked by Frank Müller · Feb 4, 2026