Your AI doesn't know how you
actually work. Yet.
sidebrain captures how you work, turns it into a living model of your judgment, and feeds it back into the AI tools you already use. Then it lets your AI apprentice under your teammates.
mac-native · local-first · end-to-end encrypted
watching how you work…
the same prompt, before and after sidebrain learns how you pitch. no one wrote a doc.
the loop
Capture. Synthesize. Federate.
The durable asset in AI isn't the model. It's the learning loop around it: how the work actually gets done. Most memory tools store the text you feed them. sidebrain captures the loop itself, then makes it transferable.
Capture
how you work, not what you type into a box
A Mac menu-bar app quietly captures your working context: the AI conversations you have, the apps and docs you move through, the files you touch. Opt-in per source, with a global pause and a visible indicator. Raw capture never leaves your device.
Synthesize
a living model of your judgment
The raw stream is distilled into knowledge: the decisions you make, the workflows you repeat, the edits and the approaches you reject (the corrections that reveal your standard), your preferences and the words you use. It becomes a personal knowledge graph and a “how I work” profile, and every item is classified private, shareable, or sensitive at synthesis time.
Federate
your AI apprentices under your teammates
Connect with a teammate and exchange synthesized knowledge (never raw capture) under granular, you-set permissions. Ask the team brain. When recall fires, your AI produces something it could only know because it learned from someone else’s work.
the trust spine
Built so that capturing everything is actually safe.
“Capture how you work and share it with someone” is a minefield if you get it wrong. So we designed the survival path in from the start: synthesize first, share knowledge (never raw capture) and encrypt every transfer.
Raw capture never leaves your device
Everything sidebrain observes (your screens, conversations, files) is stored and processed locally first. There is no cloud copy of your raw activity. Ever.
Only synthesized, you-approved knowledge travels
What can be shared is the distilled knowledge layer, not the source. Every item is classified at synthesis time, and nothing is shared until you scope and approve it.
Federation is end-to-end encrypted
Knowledge moves between teammates encrypted on your device and decrypted on theirs. The relay in the middle is zero-knowledge: it routes ciphertext it cannot read.
the transfer
The moment a teammate's judgment shows up in your work.
Expertise normally moves by watching someone do the job for months. A transfer is when your AI produces the right call in context, because it apprenticed under a teammate, not because anyone wrote it down.
Every recall is attributed and logged. You can see exactly whose knowledge fired, and where.
you started a pitch to a tier-1 tech reporter
lead with the data point, hold the exec quote for the follow-up. it lands better with reporters who’ve been burned by hype.
you opened a client’s monthly report
this client cares about share-of-voice vs. two named competitors, not raw pickup counts. Frame the win that way.
you drafted a follow-up after no reply
wait a full business day, then send one tight line: never “just bumping this.” His re-engage rate is 3x the team’s.
the bet
The model isn't the moat. The learning loop is.
The largest companies in software are now saying it out loud: the durable asset in AI isn't the model. It's the loop around it. The record of how work actually gets done. The calls that worked, and the ones that didn't. sidebrain has been building exactly that, and the question it answers is the one they're all now asking: who captures the learning?
the big-company brain
sidebrain, but better
where the learning lives
captured at the company level, locked inside one vendor's suite
where the learning lives
captured per person, then moved between people, across the tools you already use
what counts as knowledge
the accepted outputs: what shipped
what counts as knowledge
the corrections and the rejected approaches too: the part that becomes judgment
when you feel it
after the enterprise rollout, on the org's timeline
when you feel it
the day you install it, individual-first, no rollout required
Same idea the giants are circling. We just don't make you buy the whole suite, wait for IT, or hand your work to one vendor to get it.
Give your AI a memory of how you work.
sidebrain is in private beta with a small set of high-trust teams. Join the waitlist and we'll reach out as we open seats.
no spam · your raw capture stays on your device, always