Unsiloed AI (@UnsiloedHQ) builds APIs to parse multimodal unstructured data like PDFs, PPTs, and images and convert it into LLM-ready formats like markdown and JSON. ycombinator.com/launches/OjU-u… Congrats on the launch, @__Aman_Mishra & Adnan!
Gemini flash does this extremely well, why is this needed?
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That's a fantastic innovation, Aman! Converting unstructured data for LLMs is the need of the hour, isn't it?
it's like the data-prep/ingestion layer for LLMs love the value prop', makes so much sense way >>> llmstxt let's launch/spotlight you guys on microlaunch.net when that helps btw
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This is a major step toward solving one of AI’s hardest problems — unstructured data. Turning PDFs, slides, and visuals into LLM-ready formats bridges the gap between human knowledge and machine understanding. Congrats to the Unsiloed team for tackling real infrastructure work in…
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Unstructured data is one of the biggest bottlenecks for enterprise AI, and Unsiloed’s approach to make it LLM-ready out of the box is a real unlock. Excited to see how this shapes the data-to-insight pipeline.
Huge leap for AI teams dealing with messy, layout-heavy docs.
Huge congrats to the team. Turning messy, unstructured data into clean, model-ready inputs is a massive unlock.
wild how fast the reducto market is getting commoditized
Love seeing tools that make data more accessible for AI. Converting messy formats into something usable is no small feat. Keep building, Aman and Adnan! Excited to see where this goes.
It's @reductoai but customers have the option to host it on their own infrastructure? So you're using open source models?
This is the future. The entire AI data stack is being re-imagined for multimodal, unstructured sources. Great to see innovation at the parsing layer! The database layer is the next piece of the puzzle. Congrats on the launch!
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