The “Honcho in Space” initiative: get Honcho co-sold inside as many neoclouds as possible, as fast as possible. Neoclouds are integrating up the stack (GPU → managed inference → agentic services) and every one of them will need a memory layer. They won’t build it. Honcho should be the default — and we should be first.
This section collects the strategy and the operational research behind it.
- Distribution Thesis — the core strategic memo: why neoclouds, why now, what “Honcho in space” means, and the risks.
- Landscape Map — tiered vendor map (who to pursue, in what order, on what evidence) plus the cross-corpus comparison table and strategic patterns.
- Neocloud Lexicon — the language register: how each vendor talks, so our pitch speaks their dialect.
- Reference Architecture — the sober engineering answer to “how would Honcho run on our infra?” — two supported deployment topologies, grounded in the current codebase.
- Vendor Dossiers — consolidated per-vendor profiles (positioning, fit, contacts, notes) across all 19 researched neoclouds.
The motion in one line
Direct enterprise grind is 1 deal → 1 customer; neocloud co-sell is 1 deal → N customers, with their AEs prospecting and their trust lent to us. Memory drives inference (every Honcho call burns tokens on the neocloud’s infra) and memory is sticky (a non-fungible attach to a fungible product). The race is to be default-on in as many neoclouds as possible before the category commoditizes.