TensorIQ

Organizations invest enormous effort into structured systems — databases, warehouses, dashboards.

But that’s not where most of their information lives. Roughly 80–90% of organizational data is unstructured: documents, reports, emails, PDFs, logs, notes, conversations. It contains critical knowledge, yet most systems can’t really use it. So it sits there. Or teams spend countless hours trying to extract it manually.

Recent advances in LLMs have made something new possible — but only if they’re used in the right way. LLMs are incredibly powerful at interpreting messy, human-created information. Humans, however, are still far better at providing context, intent, and guidance. What happens when you combine the two properly?

Here’s the question I keep coming back to:

What if unstructured data could behave like structured data?

Not as a one-off experiment. Not as a fragile pipeline. But as something systems could reliably consume and act on — with LLMs doing what they do best, and humans guiding the process where judgment and context matter.

That’s what I’ve been exploring. Still early. But the possibilities are… intriguing.

More soon.