Cortex  ·  Brand memory for AI

The company brain your AI can actually use.

Cortex turns your scattered brand knowledge — voice rules, frameworks, case studies, personas, portfolio, reviews — into structured memory every AI agent in your stack can query. One schema. One source of truth. No more PDFs.

Works with
MCP clients Claude Code Orbit Custom agents
10+
Structured brand domains served to every agent
MCP
Model Context Protocol native — plug-and-play
1
Source of truth, replacing the PDF-and-Notion sprawl
Any
MCP-compatible agent can query brand knowledge

The problem

Your brand lives in PDFs. AI can't read PDFs.

Every new AI tool your team adopts starts from zero. Voice guides, case studies, personas, and proof points scatter across Notion, Google Docs, slide decks, and style guides — readable by humans, useless to agents. So every model makes it up.

Scattered sources

Notion pages, PDFs, Slack threads, Figma files. No agent knows where to look or what to trust.

Unstructured prose

Style guides are written for humans. A model reads "be conversational but authoritative" and invents its own rules.

Invented proof

Case studies hallucinate. Customer quotes get fabricated. Numbers appear from nowhere.

Drift across tools

Sales, content, and support each train different AI prompts. Every tool speaks a slightly different brand.

What Cortex stores

Ten structured domains. One brand brain.

Every field of brand knowledge is typed, versioned, and queryable through a single protocol. Agents know exactly what to ask for — and exactly what they'll get back.

Company identity

Positioning, boilerplate, one-liners, naming conventions.

Brand voice

Tone rules, authority phrases, banned words, cadence preferences — as structured data, not prose.

Visual system

Colour tokens, type scale, logo usage. Ready for any agent that renders visuals.

Frameworks

Your proprietary methodologies with permalinks, so every agent can reference and link them correctly.

Personas

Structured ICP and buying-committee profiles with pains, gains, and objections.

Learnings

What your team has discovered about messaging, positioning, and market — captured as reusable memory.

Case studies

Real client outcomes with hard numbers, quotes, and linkable URLs. No invented proof.

Portfolio

Work samples with metadata — industry, outcome, asset URLs — searchable by agents.

Reviews

Customer quotes with attribution, source, and date. Audit-ready.

Videos

Demo clips, testimonials, and explainers indexed for retrieval by topic.

The platform

Memory that agents can actually follow.

Each layer is designed for a specific job an agent needs to do. Together they turn brand knowledge into something a model can reason with.

Brand knowledge that a model can actually follow.

Voice rules, authority phrases, frameworks, and proof live as structured data — not a style-guide PDF the model glances at. When an agent asks "how do we talk about pricing", it gets an answer, not a guess.

  • Versioned, typed fields for every brand attribute
  • Authority phrases the humanise pass can detect and rotate
  • Frameworks with permalinks so references are auto-linked

Every case study, review, and quote — queryable by name.

Case studies, portfolio, reviews, and videos are stored with outcomes, attribution, and links. Agents can search them by topic, client, or industry — so proof gets cited by name, never invented.

  • Searchable by topic, industry, or outcome
  • Quotes tied to attribution and source URL
  • Portfolio samples with linkable asset URLs

Any agent. One protocol.

Cortex speaks Model Context Protocol — Anthropic's open standard for agent tools. Claude Desktop, Claude Code, Orbit, and any MCP-compatible client can query brand knowledge through the same interface.

  • Works with Claude Desktop, Claude Code, Orbit, custom agents
  • Typed tool definitions — agents know what they can ask
  • HTTP and stdio transports supported out of the box

One server, isolated knowledge per brand.

Every brand gets its own namespace inside Cortex. Data never crosses boundaries — voice rules for one brand never leak into another brand's agent context.

  • Strict per-brand namespaces with zero bleed
  • Per-brand access control and audit trails
  • Shared schema, isolated data

Token-efficient by default.

Cortex syncs to a local wiki cache, so agents read brand knowledge from disk on hot paths and fall back to the live MCP only when the cache is stale. Brand context loads once per workflow — not once per call.

  • Read-from-cache-first pipeline, live-fetch fallback
  • One-shot brand context loading per workflow
  • Token budgets stay flat as brands and agents scale

Who it's for

Any team, any agent. One brand truth.

Content operations

Power Orbit and any content pipeline.

Orbit uses Cortex as its brand brain. Every article it writes pulls voice rules, frameworks, and proof from a single source — no drift, no invented stats, no stylistic hallucination.

  • Voice rules enforced at generation time
  • Real case studies cited by name
  • Frameworks linked correctly every time
Custom AI agents

Give your Claude agents real brand context.

Sales agents, support agents, research agents — every Claude-based tool in your stack can query Cortex and answer with the same facts, the same voice, and the same proof.

  • One brand truth across sales, support, content
  • Onboard a new agent in minutes, not weeks
  • Update once — every agent sees the change
Agencies & brand teams

Stop rewriting the brand guide every quarter.

Your brand guide is never "done". Cortex keeps it living — editable, versioned, queryable by every tool your team uses. The PDF era is over.

  • Living brand guide, not a stale PDF
  • Versioned and audit-trailed
  • Per-brand isolation for agency rosters

Cortex + Orbit

Cortex is the brain behind Orbit.

Orbit — our AI content operations product — is built on top of Cortex. Every article Orbit writes pulls voice, frameworks, and proof from Cortex. If you want to see Cortex in action at full tilt, Orbit is the shortest path.

Explore Orbit

Under the hood

Built for agents, not humans.

Every design choice assumes an AI agent is the primary consumer — not a brand manager reading a PDF.

MCP-native

HTTP and stdio transports, typed tool definitions, standard auth. Works with any Model Context Protocol client.

Typed schema

Every brand attribute is a typed field. Agents know exactly what they can query and what shape the response takes.

Turso + Drizzle ORM

Distributed SQLite means Cortex is globally replicated, read-anywhere, writeable from any region.

Wiki cache layer

Local markdown cache for token-efficient agent workflows. Live Cortex is the source; the wiki is the hot path.

Version history

Every change to voice, proof, or framework is versioned and audit-trailed. Roll back or attribute with ease.

Namespace isolation

Multi-brand by default. Per-brand access, per-brand audit logs, zero cross-brand data bleed.

Early signal

What the first teams are saying.

We had voice rules scattered across five Notion pages and a 40-page PDF. Cortex turned them into something every Claude agent in our stack actually respects.

Every agency promised a 'single source of truth'. Cortex is the first one that every AI tool we use can actually read.

Case studies cited by name, with real numbers, auto-linked to the source — that alone made our content defensible.

Questions

Things teams ask us.

What is Cortex, exactly?

Cortex is an MCP (Model Context Protocol) server that stores and serves a company's brand knowledge as structured data. Anything an AI agent needs to represent your brand — voice rules, frameworks, personas, case studies, portfolio, reviews — lives in Cortex with a typed schema. Any MCP-compatible agent can query it.

How is this different from a Notion page or a style guide PDF?

Notion and PDFs are written for humans. Cortex is written for agents. Voice rules are structured fields, not paragraphs. Frameworks have permalinks so they auto-link when referenced. Authority phrases are detectable tokens a humanisation pass can enforce. A Notion page full of good intentions is useless to a model; Cortex is the schema a model can follow.

Do I need Orbit to use Cortex?

No. Cortex is a standalone product. It works with Claude Desktop, Claude Code, Orbit, or any custom agent that speaks Model Context Protocol. Orbit happens to be the first product we built on top of it, but Cortex is useful anywhere an AI agent needs brand context.

Who edits Cortex?

Your brand team, content team, and ops team — through a simple editing UI. Changes are versioned and audit-trailed, so you can see who edited what and roll back if needed. Agents pick up changes on the next call.

How do you handle multi-brand setups?

Per-brand namespaces with strict isolation. Agencies and holding companies run dozens of brands off one Cortex instance, and no brand ever sees another brand's voice rules, proof, or personas.

Can we self-host?

Yes. Cortex ships as an MCP server you can run on your infrastructure, with managed hosting available for teams that prefer it. Enterprise customers can run it on-premise or in a VPC with custom auth.

What does an agent actually see when it queries Cortex?

Typed responses. Ask for company info and you get a structured object with name, positioning, brand voice, colours, and frameworks. Ask for case studies and you get records with client, outcomes, quotes, and source URLs. The schema is discoverable — agents introspect what's available.

Ready?

Put your brand in the protocol.

We'll import your existing brand assets — voice guide, case studies, portfolio, reviews — and stand up a Cortex namespace for your brand. Usually within a week.

Onboarding in 5–7 days Your data stays yours Works with any MCP client