CONFIDENTIAL
Pre-seed
Q2 · 2026
Memory infrastructure for AI

Your AI knows you. Whichever AI you use.

MixorAI is the memory layer for the post-single-model era. One account holds a user's preferences, voice, knowledge, and project context — and lends them to every model they work with.

Request investor brief Currently raising · Pre-product

Models commoditize. Context doesn't.

Two years ago, knowledge workers had one AI. Today the typical heavy user has three to five.

ChatGPT for writing. Claude for documents. Gemini for long PDFs. DeepSeek for cheap volume. Perplexity for research. Each tool builds its own memory of the user — and none of them speak to each other.

The user has been split apart by the very tools meant to serve them. Their preferences live on OpenAI's servers. Their writing voice lives in Anthropic's Projects. Their research history lives in Perplexity's history pane.

This is not a quirk of early-stage software. It is the deliberate architecture of every model lab — each one racing to deepen lock-in by deepening memory. And in doing so, they have created the most valuable empty space in AI: a model-agnostic memory layer that belongs to the user.

"The most valuable user asset in AI is no longer the subscription. It is the accumulated context that makes any model useful."

MixorAI builds that layer. Independent of any model. Owned by the user. Useful immediately, durable forever.

A market already paying—and quietly fragmenting.

700M+
Weekly AI users
worldwide
38%
of paid users subscribe
to 2 or more AI services
$24B
Consumer AI subscription
spend, 2026 est.
3.4×
Growth in multi-model
usage YoY

↳ Source placeholders. To be replaced with cited research before investor outreach. The market exists; the framing here is what matters.

A memory layer, not another chat app.

01 · Core

Universal memory

Preferences, voice, knowledge, and history — stored in MixorAI, not in any single vendor. Portable, exportable, and owned by the user.

02 · Core

Cross-model continuity

A conversation that starts in Claude, deepens in GPT, and finishes in Gemini — and reads as a single thread to the user, with no context loss.

03 · Core

Portable identity

Writing voice, brand context, and project knowledge applied automatically — regardless of which model produces the output.

04 · Supporting

Model-aware routing

Transparent suggestions for which model best fits each task. Always overridable. A feature, not the headline.

Commoditized · table stakes
MixorAI · Memory Layer PREFERENCES · VOICE · CONTEXT · HISTORY USER CLAUDE GPT GEMINI DEEPSEEK QWEN MODELS COMMODITIZE↑ CONTEXT PERSISTS↓
Fig. 01 — Architecture, simplified

An empty quadrant in a crowded room.

Player Multi-model Cross-model memory User-owned data
ChatGPT / Claude / Gemini (native) — Single vendor In silo No
Monica / Merlin / Sider Yes Per-model No
TypingMind (BYOK) Yes No Partial
OpenRouter / Portkey (dev gateways) Yes No — infra layer Partial
Not Diamond / Martian (routers) Yes No — routing only No
MixorAI Yes Yes — by design Yes — by default

Three forces, all pointing the same way.

i.

Interfaces are standardized.

OpenAI-compatible APIs are now the lingua franca. Connecting every major model in a unified backend stopped being an engineering moat eighteen months ago.

ii.

Lab lock-in is accelerating.

Every model lab is deepening its own memory system. They are racing to make users non-portable — which is exactly what makes a neutral, user-owned alternative valuable.

iii.

Heavy users have reached saturation.

The high-intent segment already pays for two or three AIs. Their next willingness-to-pay is for workflow, not for one more model subscription.

We're raising a pre-seed round.

Currently in stealth. Brief and detailed deck available for qualified investors and strategic partners on request.

invest@mixorai.com