Every business runs on a dozen disconnected tools — CRM in one place,cinbox in another, finances in a third, knowledge in a fourth. AI tools have ridden the same trap: a Claude-for-sales, a Claude-for-support, a Claude-for-finance, each one a stateless chatbot you re-onboard every morning. None of them know your business. None of them can do anything beyond chat.
StartupStarter solves both problems with one substrate.
We unified the operational stack — CRM, inbox, finance, agreements, cadences, calendar, knowledge, embeddable site widget — and built Cortex underneath all of it.
Cortex is the company brain. Four core layers:
- org_brain: structured company profile. ICP, product, pricing, strategic objectives, team, communication preferences. The AI knows what your company is.
- ai_memories: facts captured across every conversation, categorized as preference / pattern / strategic / workflow / relationship / factual. The AI remembers what you told it last week.
- cortex_entities + cortex_edges: canonical people and companies deduplicated across your CRM, emails, calendar, and threads. The AI knows who you're talking about, no matter which module surfaces them.
- cortex_events: the activity stream. Every meaningful event in your business flows through here. A heartbeat job aggregates it into memories on a schedule.
This is what makes our AI co-pilot (S2X) different from a chatbot.
S2X starts every conversation already knowing who your customers are, what stage every deal is in, what was said in the last email thread, what's on the docket this week, what your strategic priorities are.
And it doesn't just answer. It acts. 163 tools across 16 clusters: it queries deals, drafts and sends emails, builds cap tables, fires cadences, schedules meetings, generates SAFEs, captures leads from your public site widget. 15 inline artifacts render in chat — email drafts, financial dashboards, meeting prep cards, deal triage — that you approve or edit in-place, and the assistant applies.
Cortex is also exposed via MCP. Plug Claude (or anything that speaks MCP) directly into your business. Full read, full write, full context.
This is what most "AI for business" companies haven't built: the substrate.
Frontier models keep getting better. The constant is the value of clean, structured, write-capable data your AI can actually operate on.
Try it: https://startupstarter.co
Happy to go deep on architecture, Cortex internals, the entity resolution layer, the heartbeat aggregation, or anything else.
— Jose