Sig captures what never got written down — the meeting decisions, the verbal commitments, your read on what actually happened — and keeps it on your machine. Every AI tool you already use gets dramatically more useful because it finally has real context to work from.
Every AI tool you use is capable. What it's missing is everything that happened in your week. Here's the difference that makes.
Sig doesn't ask you to change how you work. After a meeting, you talk through what happened. Before a call, you ask what's open. At the end of the day, you wrap up. That's it.
An app, not a setup script. No terminal, no config files. About fifteen minutes from download to your first capture.
Two minutes describing what happened — the facts, then your read on it. Sig files both as plain markdown.
Every write is shown in plain language with the exact file. Point any AI you use at it and watch it start from everything.
When you're ready, Sig helps you share approved knowledge with your team — deliberately, never automatically.
One click in Sig sends a piece of knowledge to your team. Git handles the sync in the background — your teammate's Sig has it as context the moment they open it. No Confluence page. No Slack thread. No re-explaining.
Build a 1:1 prep skill, a weekly update template, a customer call debrief. Share it with your team in one click — they install it in seconds. The methodology travels without the training session. Git handles the rest; your team never sees it.
Plain markdown files on your machine. Sig builds the context. Every agent you trust consumes it. Leave tomorrow and your memory is still yours, in a format that's been readable for thirty years.
Open them in Notes, Obsidian, or any text editor. Point any AI tool at them. The format has been readable for thirty years and always will be.
Nothing leaves your machine until you review it and approve it. The personal layer — your thinking — stays yours, always.
Claude, ChatGPT, Gemini (GitHub Copilot coming soon), plus local models. Sig is the context layer under your agents — not another subscription to choose between.
Enterprise search indexes what's documented. Note apps wait for you to write. Chatbots start from zero. Sig is the layer underneath all of them.
The meeting with no minutes, the verbal commitment, the task outside the tracker. Sig creates the record that never existed.
Your interpretation, your read between the lines, your debrief. The layer that makes your work good — captured and kept distinct.
Claude, ChatGPT, Gemini — GitHub Copilot coming soon. Not another subscription — the context layer that makes whatever you already use dramatically better.
Everything lands on your machine. Your team sees only what you review and approve — explicitly, never automatically.
The agent didn't change. The context did. Sessions that used to produce generic output start producing specific, grounded responses — and keep going.
Your thinking layer is the one every great operator has always kept. Sig is the first tool built to support it honestly — not to index it, summarize it, or ship it off.
Clarity about where we belong. Enterprise tools do enterprise jobs well — we fill the gaps they were never designed to reach.
We don't have a security page written in the passive voice. We have three sentences a non-lawyer can hold in their head.
Everything you capture lands on your machine as plain markdown. No server copy by default.
Your personal layer — your thinking — is never synced, never trained on, never shared without your explicit approval.
When you do share, it's you reviewing the exact text with AI assistance, then clicking publish. That's the whole mechanism.
Sig is in early access. Here's what the first users have been telling us.
I manage a team of twelve. Before Sig, my 1:1s started with five minutes of figuring out where we left off. Now I ask what's open with each person before I walk in — last three conversations, open commitments, the thread I'd have otherwise lost. My team thinks I have an incredible memory. I don't. I have Sig.
I work across six client engagements at once. The context that falls between them — the offhand comment in a steering call, the thing the VP said after the meeting ended — that's where the real work lives. Sig is where I put it.
The moment it clicked was when I described a technical decision in standup and my AI already knew the constraints — because I had talked through it in Sig the week before. I stopped re-explaining my own codebase.
What sold me was seeing the markdown files. My context isn't locked to their app. If Sig disappears tomorrow, my memory is still mine — that matters more than any feature.
We move fast and the relationships are everything. I used to lose the thread between conversations — what someone needed, what I had committed to. Now it's all there before the next call. That's the whole game in this business.
Public beta for macOS, Windows, and Linux. Try it after your next meeting.