Pre-seed · working prototype in daily use

Investor brief:
the memory a company owns.

Tracebrain turns a company's own conversations — from every source it works in, two of them live today — into a memory the company owns: what was decided, promised and paid, by client and by project, readable by any AI it chooses. This page is the investment case; the product speaks for itself on the landing.

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Why now

The category just proved itself. The user-owned quadrant is still empty.

Meta acq. LimitlessDec 2025 — big tech's first buy of a "personal memory layer" ($33M+ raised from a16z, NEA, Sam Altman)
$0 → $1.5BGranola's valuation in ~3 years (Series C, Mar 2026) — AI notes on conversations, meetings only
~75%of professionals already let an AI notetaker record their meetings (2025 vendor surveys) — recording is normalized
~10×/yrannual collapse in frontier inference cost — enriching your entire message history now costs cents per day

Sources: TechCrunch, Bloomberg, SiliconANGLE, Epoch AI, Fellow.ai survey data. Figures indicative.

ChatGPT, Claude, and Gemini all shipped automatic memory in 2025–26 — memory is the retention feature, and demand is validated. “Company brain” entered YC's request for startups in June 2026 and the funded ones read documents and Slack and answer questions. Every vendor locks that memory inside its own silo, every notetaker organizes it per meeting, and every CRM still asks somebody to type. The intersection — automatic, per client and per person, written as a record, owned by the company — is unclaimed:

Company brainsGlean, Notion AI, DustAI meeting notetakersGranola, Zoom AICRMsKommo, Clay.earth, DexPlatform memoryChatGPT, MetaTracebrain
Capturedocuments and Slackautomatic, meetings onlymanual entryautomaticautomatic — every source the company works in
Organizedper question askedper meetingper personper vendorper client, per project, per person: a written record
Owned byvendor cloudvendor cloudvendor cloudthe platformthe company — private, exportable
Readable bytheir apptheir apptheir apptheir modelthe company + any AI it chooses

The market around that empty quadrant is large and moving: personal CRM alone is estimated near $15B (2025), AI meeting assistants at $1–3.5B growing 25%+ a year, anchored by a $163B CRM market and 100M+ people already living in tools like Notion.

Moat

A switching cost that grows while you sleep.

Memory compounds.

Every day of use deepens a private corpus that exists nowhere else — and that no user will rebuild on a competitor.

Privacy as the product.

One isolated vault per person, read-only connectors, no ads and no data sales — the only revenue is the subscription. Incumbents whose business is your data can't copy this without abandoning their model.

Connector economics.

A source-agnostic core means each new channel is a thin adapter. The hard part is built; breadth is cheap from here.

Open by design.

Full export and an open memory API mean zero lock-in — and a real shot at becoming the standard substrate personal AI reads context from.

Business model

Sell software and compute — never data.

The company is the customer and the person is the seat: a plan per workspace for companies of five to fifty people whose knowledge lives in conversations — agencies, recruiters, services, trading — with a $20 personal plan as the second door. The company price is being set with the first design partners; three paying companies is the test this round funds.

The company's data stays its own forever; it pays for capture and intelligence — connectors, AI enrichment, the daily loop. A vault is plain text files, so keeping it costs almost nothing: the revenue is software and compute, never the data. The endgame is infrastructure — the permissioned memory layer the company's AI assistants read from.

“We will never monetize user data. The customer is the company whose memory it is, and nobody else. That's the pitch, not a footnote.”

Traction

Built, not slideware.

The full loop runs end-to-end on real data, every day. Its one user is the hardest kind to fake: the founder, running his entire personal and work communication through it.

Two sources liveTelegram (full history) and WhatsApp, one-to-one and groups; LinkedIn built, awaiting approval
Shared company vaultone memory per company that every member's sources write into
Per-client memoryevery conversation filed to its person, group and project, automatically
AI enrichmentprofiles, projects, birthdays, contacts, cross-links
Daily reviewdecided / promised / paid — every night, unattended since late September
Promise → taskopen commitments become tasks on a board automatically
Memory outMCP read and write for any assistant; a webhook into Slack, n8n, Zapier, Make
Ownershipone private vault per company and per person, plain Markdown, theirs to take

The ask

Pre-seed: from proven loop to product.

Raising to ship the company plan and the next sources — the ones the first design partners name — plus a company sign-up that sets a workspace up in minutes, and a paid design-partner cohort: the first companies that never again find out in front of a client what a colleague agreed.

If you believe every AI assistant a company uses will need its memory — and that companies will insist on owning it — let's talk. The demo is the founder's real company.

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Where should it go? A line about what you invest in helps us send the right version.