Ollang DX - The AI Language Execution Layer for Enterprise
by•
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.
Replies
Spiky
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?
Panorama
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
Dune
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...
RiteKit Company Logo API
Interesting approach to the execution layer — standardizing how LLMs interact with enterprise systems is a real pain point. We're building something complementary at FoxAPIs: structured intelligence endpoints (social listening, people enrichment, AI visibility scoring) that dev teams can plug into their LLM workflows via simple REST calls. Would love to see an Ollang integration — imagine an agent that can pull real-time brand sentiment mid-conversation.