Ask Figg to never forget.
Figg is the agent that remembers your company.
One canvas of what’s actually true, turned into posts, updates, and verdicts, and where your data ends, it stops.
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Every AI you use forgets you.
It knows this window. Not your company.
Not your research, not what your customer said last Tuesday, not the idea you already tried and killed. So you paste, every time, into a fresh context, to a model that will confidently invent whatever you left out. You’ve got a real company now, customers, a team, history, and it moves too fast to start every conversation from zero.
Demo: asked what a pricing page should lead with, a model with no memory invents a 40 percent time savings figure and a 200-plus customer count, both shown struck through as numbers that do not exist. Figg answers the same prompt grounded in the company canvas, citing the Positioning card and the Call notes 06/30 call.
Six canvas cards: Research, Positioning, Voice, Product reality, Customer calls, and Dead ideas, each holding a short note.
This is where your company lives.
Not a wiki you maintain. A memory that accumulates as you work: research, positioning, voice, product reality, customer conversations, decisions, dead ideas. Your whole team on one canvas.
Meetings land here too. Figg’s recorder sits in the call, takes the notes, and files what was actually said into memory. Last Tuesday’s customer call is a card, not a memory you’re paraphrasing.
Demo of the Figg chat: a founder types “Write the launch post for LinkedIn.” Figg reads the Voice, Positioning, and Customer calls cards from the canvas, drafts the post in the founder’s voice, and one click on Post publishes it to LinkedIn and files the launch post back to the canvas.
The memory has hands.
Ask Figg to write the launch post and it drafts in your voice, from your real context, so you just click post. Plenty of AI can write. None of it knows your company. Figg does both, and it won't fill the gaps with things that aren't true.
Same memory, same refusal: it also drafts your investor updates and sends them through Gmail the moment you connect it, keeps a running read on what’s changing in your market, takes your meetings, and researches new ideas against what you’re already building.
Demo of meeting capture: two live transcript lines from a customer call appear, then the quote “Right, ten minutes, minimum.” is filed to the canvas as a Customer calls card.
Meetings become memory.
The recorder transcribes the call live and files what was said to the canvas, so nothing gets remembered wrong.
A drafted investor update written from canvas data, waiting on a single Send click the moment Gmail is connected.
Investor updates, sent.
Drafted from your data, and it sends the moment you connect Gmail, the same one-tap confirm LinkedIn already has.
A drafted LinkedIn post written in the founder’s voice, waiting on a single Approve click before it publishes.
Posts in your voice.
Drafted from your context, in the voice on your canvas. You approve, it posts.
Verdict card: should we add a services tier. Answer grounded in the Positioning card. Verdict: pivot, ship it as a paid onboarding sprint, not a standing tier.
Judged against your company, not in a vacuum.
Every other tool judges an idea in a vacuum. Figg answers the question you actually have: does this fit what we're already building. Real research, then a verdict grounded in your context: build it, kill it, or pivot.
Nothing without a source.
When Figg researches a market or a competitor, every finding is pinned to a source you can open, and where there's no source, it says so instead of guessing.
The recorder is part of that same proof: it transcribes your calls live and files what was actually said to the canvas, so no meeting gets remembered wrong, and nothing Figg tells you later is built on a guess about what happened in the room.
Demo of the recorder and research: a customer call transcript types in live, then the line that matters files itself to a Customer calls card. Beside it, Figg researches a question and types out the finding that two competitors sell to enterprise clinics and neither is built for a solo practice, then attaches its source: the State of Vet Tech 2026 industry report.
Challenge dialogue: the founder pushes back, asking whether the total addressable market must be bigger than what Figg found. Figg holds its ground, citing that no sourced TAM figure exists in the company’s data, and logs the exchange to the objection ledger instead of inventing a number to satisfy the founder.
The only agent that admits what it doesn’t know.
When the data isn't there, Figg says so, even when you push back on it. Ask again and the answer comes back the same: that number doesn't exist in your data yet. Nothing padded, nothing invented, so everything Figg does produce, you can take into the room and defend.
Figured out in public.
Founders comparing what Figg found, swapping what customers actually said, and watching features ship. Come figure it out with us.
Honest answers.
The skeptical questions, answered straight.
Still curious? Get in touch or ask in our Discord.
Because the no is the product. An agent that fills gaps with plausible fiction costs you in the meeting where it counts. Figg works from your real context and stops where it ends, so everything it does produce, you can defend.
Everything downstream of knowing your company. It writes posts in your voice and publishes them to LinkedIn with one tap, drafts your investor updates and sends them through Gmail the moment you connect it, tracks what's changing in your market and your competitors, takes your meeting notes, researches new ideas against what you're already building, and defends or revises a finding when you push back on it.
From work you're already doing. Cards you add, research Figg runs, meetings the recorder captures, decisions you make on the canvas, and signals it pulls automatically from your market and your competitors, each one sourced. It accumulates. You don't maintain it.
Yes. Give it one and it runs real research, then answers the question that actually matters: does this fit what we're already building. Build, kill, or pivot, every claim sourced, and a blank where the data ends.
Founders with a company and a team, not a napkin. If you're still deciding whether to start, the research alone is worth it, but Figg earns its keep once there's a real company to remember.
No. Your context is never used to train models, never sold, never shared. It's your company's memory. You own it.
Stop re-explaining your company.
Give Figg the context once. Get real work back, from what's actually true.
