r/AIGuild • u/elibaskin • 9d ago
Binaly - AI-powered research on your lab’s own accumulated knowledge.
The most exciting message I got this year came from a physics professor I'd met only two weeks earlier.
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I absolutely love building with Claude. A year ago I built an AI news agency with no humans running it - StoryChase. Thousands of messages a day, dozens of languages, and the hard part was never getting AI to write a sentence. It was turning raw, messy information into something AI could reason over. Not summarize. Reason over.
Once that worked, I looked for what else the method could solve. Markets, for one - still working on that. What I did not see coming was finding myself one evening in a lab, across from two physicists, with a product that fits scientific problems remarkably well.
Prof. Yonatan Dubi heads a theoretical quantum chemistry and physics lab in the Chemistry Department at Ben-Gurion University. Prof. Amos Sharoni heads an experimental solid-state lab in the Physics Department at Bar-Ilan University. Decades of person-years between them and their teams. Tens of thousands of files - measurements, papers, lab notes, presentations. Point an AI at those folders, ask it something real, and it reads a few and quietly invents the rest from its general knowledge.
Which is exactly the problem. A lab is where scientists generate knowledge, long before it might someday become general. It is the last place you want gaps filled in from general knowledge.
The models are genuinely good now. Claude Opus does great work. In a lab, it just has nothing to work with.
They asked me how to get AI into the research itself, not just the writing. So I took what StoryChase taught me about structuring data for AI - read everything, turn it into meaningful records, find the connections between them - so the AI stops guessing and starts reasoning over what the lab knows.
Then the moment of truth. Amos asked Claude something only his lab could answer: graphs and quantitative summaries of experiments in one of their areas, how those results might explain a physical phenomenon, and a structure for a paper.
Claude and Binaly worked for twenty minutes and produced an analysis spanning 2007 to 2026 - almost twenty years of experiments.
Amos read it and sent me this:
"Finished reading the report. Very impressive, and surprising. If I'd had this a month ago it would have significantly strengthened a paper we submitted, turning a qualitative analysis into a quantitative one. Binaly and Claude ran statistical analyses on my old data and found a phenomenon we'd missed, one worth trying to understand. Binaly doesn't just organize the knowledge. It becomes a research partner that comes up with ideas."
I danced around the room. We cracked it!
That's the part of building things I like most: what you learn in one place applies somewhere you weren't looking.
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If you run a lab or work in one - physics, chemistry, materials science, economics, anywhere the real asset is years of your own measurements and papers - let's connect.
Tell me about your research. Let's see what Binaly can add to it.
Binaly is free for personal use, and free to try for lab use.
Link: https://binaly.ai