We put AI to work inside the way your team already works, clearing the repetitive tasks that eat the week. On your own hardware, so your people spend their hours where they matter.
The hours are already there. They're just clogged.
Figure 2. An illustrative forty-hour working week in which six and a half
hours are assigned to four recurring jobs: writing it up, re-keying data, chasing
updates, and spreadsheet limbo. This is an example, not a universal benchmark.
Hours
Writing it upRe-keying dataChasing updatesSpreadsheet limbo
I'm a bench scientist by training. I spent seven years in gene editing, close enough to the work to feel exactly where it slows down. The documentation. The transcription. The hours lost to software that was never built for the lab. So I started building the tools I wished I'd had, and Multimod grew out of that. First my own apps, and now work alongside the teams living those same problems.
Biotech is my focus and the world I know best, but the problem isn't unique to it. Every business has work that technology should be carrying and isn't. I'm glad to help any team, large or small, put AI to good use and win their time back. Multimod is a one-person studio today, and I like it that way. A couple of engagements at a time, each done properly.
AI can be a real force for good. Used with care, it takes the busywork off people and hands them back their time, for the work that actually matters.
That's the whole goal, and it should be within reach for everyone, not only the teams who can afford an expensive platform. So the software Multimod builds stays quiet and fair. It runs on your own hardware, keeps your data and your ideas in your hands, and never locks you in. The tool gets built, your team learns to run it, and you keep the keys. That belief held when Multimod made small consumer apps. It matters even more when the data is a decade of your life's work.
Fig. 05 · Built in public
Useful tools, built to give people time back.
Voice · on the App Store
Verbex
Turns spoken observations into structured records as the work happens, so scientists spend less time writing everything up later. All on-device.
