The thesis

The system of record for judgment

Organizations remember what they did; none remember why. Mindbins is the layer where judgment is formed, recorded, and improved — built first for the buyer whose judgment is the entire P&L.

01 · The shift

Execution is being absorbed

Software spent forty years collapsing the cost of execution; AI is now absorbing execution itself. Research, drafting, modeling, and synthesis are becoming near-free. What remains scarce inside every organization is judgment — deciding what to do, under uncertainty, with skin in the game.

This is already visible on the buyer’s desk: 85% of private-capital dealmakers now use AI in their daily work, up from 76% a year earlier.[1] General assistants draft their memos and models; agents run their research. Execution is being handed over while the deciding stays human. As execution commoditizes, enterprise value concentrates in the judgment layer — and that layer has no software.

02 · The gap

Every object has a record. Except decisions.

Customers got Salesforce. Code got GitHub. Design got Figma. Documents got Notion; conversations are being claimed right now by Granola, which raised at a $1.5B valuation in March 2026 on its way from notetaker to enterprise context layer.[2] Decisions — the single highest-leverage object in any organization — have none. They live in dead chat threads, stale documents, and the fading memory of whoever was in the room.

ObjectSystem of record
CustomersSalesforce
CodeGitHub
DesignFigma
DocumentsNotion
ConversationsGranola
Decisionsunclaimed

Nowhere is this gap more expensive than in investment firms, because an investment firm is a decision factory. Its entire product is a sequence of judgments: pursue or ignore, invest or pass, follow on or write off. The memo is mandatory. The committee is mandatory. And yet the memo freezes the moment it is written; the deliberation around it evaporates; and the loop from decision to outcome is never closed. Ask any partnership “why did we pass on that company in 2023, what did we believe, and were we right?” — and watch the room go quiet.

03 · Why now

The cost of the record just collapsed

Decision-documentation tools have been tried, and they died. Before AI, the cost of documenting deliberation exceeded its benefit — nobody maintains a decision journal under deadline. That cost has now collapsed: the record can write itself from exhaust the firm already produces — call transcripts, notes, emails, data-room findings — and revise itself as thinking evolves.

And AI-drafted content flipped the scarce good. When every memo can be generated in minutes, the question stops being “can you produce analysis?” and becomes “whose judgment is this, grounded in what, and does it hold up?” Provenance is not a feature of our product. It is the product’s reason to exist.

04 · The product

Living memos, decision records, a judgment ledger

Captures with zero ceremony — a voice note after the pitch, a forwarded email, a transcript — attach themselves to the right deal thread. The living memo absorbs them and stays current: open the deal on Thursday and see what moved since Monday, every change traceable to the capture or research that caused it.

At the decision, the memo crystallizes into a Decision Record: the recommendation, the registered assumptions, dissent captured under the firm’s own norms, and tripwires — the conditions the partnership said would change its mind, monitored by agents from that moment on.

Then the object nobody else has: the Judgment Ledger. Passes get marked when companies raise, sell, or die; investments get marked at every round. Calibration becomes visible — where the firm is systematically too cautious, whose dissent is predictive, which assumptions keep failing. The anti-portfolio stops being a hand-curated ritual and becomes a quarterly instrument.

05 · The wedge

Starting where judgment is the P&L

Venture and private-equity firms are thousands of organizations running one identical, mandatory, high-stakes decision workflow. The wedge is also the best laboratory: investing is nearly unique in producing decisions that are frequent, comparable, timestamped, and objectively scored on the public record — so calibration is provable in quarters, not years.

From there, the expansion is the same workflow elsewhere: corporate development and M&A, the portfolio’s own boards, and eventually the enterprise decision layer — the last unclaimed system of record.

06 · The moat

A record no one can backfill

Span-level provenance accumulates into institutional memory that is expensive to leave. Decision→outcome pairs accrue into a dataset of how the firm reasons and how right it is — one that cannot be retrofitted by any incumbent, and that no departing partner can take with them. And once the IC runs on the Decision Record, adjacent artifacts — board packs, LP letters, follow-on memos — default into it. That is how systems of record are built.

Sources

  1. [1]Affinity, survey of ~300 private-capital dealmakers, 2026 — 85% use AI to automate daily tasks, up from 76% a year earlier. affinity.co/guides/vc-ai-tools
  2. [2]TechCrunch, 25 Mar 2026 — “Granola raises $125M, hits $1.5B valuation as it expands from meeting notetaker to enterprise AI app.”

Every fund remembers its deals. We make it remember its reasoning.

London · July 2026

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