Most AI hands you a chat window and leaves you to grind away. Hyacinth builds AI that hands back the finished product, such as a report, analysis, a cited briefing or other work that you can act on rather than repeatedly redo.

Mnemne runs on your own hardware. Point it at your document library, ask a question in plain English, get back a structured briefing with every claim cited to a specific page. Your files never leave the machine, because we don't send your knowledge to servers or a cloud. The app shows you its own network log so you can check for yourself. Mac today, Windows next, and a certified appliance for organizations that can't put documents in the cloud at all.

Hyacinth Insight runs in the cloud today. You describe a job once, including the documents, the rules, the output you need, and Insight runs the whole multi-step process behind it: reading, extracting, cross-checking, assembling. What comes back is the deliverable, not a starting point. The judgment of the person who knows how the work should be done gets encoded in the automation, so the tenth run is as good as the first.

There's a second reason we build this way. The environmental cost of AI is massive and getting worse, including power and water costs, as well as creating more CO2. A question answered on a machine you already own and virtually eliminates those costs. No datacenter. No cooling water. No new capacity. Mnemne measures the energy of every query it runs and show you in the app. Our methodology is published so anyone can check the numbers. 

We're bootstrapped, which is why we can sell software you own outright. We build for law firms, financial services, healthcare, and consulting; all places where the documents are dense, the deadlines are real, and "pretty good" isn't good enough.

hyacinth.ai · mnemne.ai · mark@hyacinth.ai

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