Ollang DX
The AI Language Execution Layer for Enterprise
245 followers
The AI Language Execution Layer for Enterprise
245 followers
Ollang is the AI language execution layer for localization across web, apps, video, audio, and documents. Use MCP to let AI agents run workflows, SKILLS for reusable agent actions, the SDK to scan and apply translations, and the API to build end-to-end localization pipelines. One platform for multimodal localization and production-ready developer integration.
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Long time Ollang user! Congrats on the launch @mazula95 !
I’m curious, how do you handle iteration and feedback loops? Like when translations get revised multiple times (by PMs, local teams, etc.), does the agent learn from those edits over time or is each run stateless?
If I want to make my app available in whatever language users want, is this something Ollang can help with? I've noticed llms are good at some languages, and less fluent in others, which can make for a non-uniform experience for users
An language execution layer sitting between enterprise systems and AI models is an interesting architectural bet. Would want to understand how it handles latency at scale - most "AI layer for enterprise" things work fine in demos and then fall apart when you actually route production traffic through them.
Very useful service. We actually have a project that we want to translate into the top 10 main languages.
By the way, how is your quality for translating less common languages? For example, Swedish? Most services usually struggle with that...
Congrats on the launch, Aziz!
Localization has always been one of those things that feels like it should be a one-liner but ends up being 5 different tools duct-taped together. Can't wait to finally having something work natively inside agent workflows instead of as a separate step is a big deal! Nice work 🚀
@mertyerekapan Thank you so much! That’s exactly the pain we wanted to solve 💜
This is exactly the kind of product that makes you think 'why didn't this exist before?' Multimodal localization with MCP + Skills + SDK in one platform is genuinely elegant architecture. The developer experience looks clean, and the enterprise angle is well thought out. Congrats on the launch @mazula95 — the future of AI-native localization is in good hands. 🚀
@alen_erboga Thank you! Appreciate the kind words and support!
Impressive work on MCP Skills!
@osman_kocs Thank you Osman!