Bounded-drift memory.
The platform's belief about your business updates with mathematical guardrails. One weird week can't flip its read on you. Stability is a feature, not an accident.
The problem with naive memory
Most AI memory systems are dumb. They either remember nothing (every session resets), or remember everything equally (the most recent file you uploaded weighs as much as everything before it combined). The first means the platform never learns. The second means a single weird week can flip the platform's entire read on your business — and you can't trust it as a result.
Neither is what you want. You want a memory that gets sharper with every cycle but doesn't overreact to the latest data point. You want a memory that takes a year of consistent evidence to firmly form a belief — and only allows one bad week to nudge that belief by a small, bounded amount.
How Mijoro does it
The platform's beliefs about your business live in an organizational memory — a Bayesian posterior over each of your strategic dimensions. Risk tolerance, growth thesis, competitive position, team execution velocity, founder identity, dozens more. Each one has a current value, a confidence band, and a history of how it got there.
When new evidence arrives — an interview turn, an integration signal, an outcome reconciliation — the platform updates the relevant beliefs using a Bayesian conjugate update. But the update is bounded: no single observation can shift a belief by more than a tightly-controlled fraction of its current value. Specific categories have specific maximum drifts: 10% for psychometric beliefs, 15% for competitive, 25% for financial and operational, 10% for high-level strategic positioning.
Your psychometric profile — the platform's read on how you think — can never swing more than ten percent on any single interview. This forces the platform to require evidence over time before deciding you've fundamentally changed. Most AI would happily overreact to a heated moment in a single conversation. Mijoro can't.
What this buys you
Stability. The platform's read on you is consistent over time, in a way you can predict. Your dossier this month doesn't suddenly look like a different company than your dossier last month — unless something durable has actually changed.
Calibration. When the platform's confidence does shift, it shifts because the evidence accumulated, not because the platform overreacted. You learn to trust that a belief swing in Mijoro means something real.
Honesty. The platform tells you what it's confident about and what it isn't. Categories with thin evidence get explicit "low confidence" markers in artifacts. You're never asked to trust a conclusion drawn from inadequate data.