I
Context, not models.
A model with no context is a search engine with bad ranking.
LLMs are powerful out of the box. They are also useless without your company's context : your tools, your backlog, your data, your voice. Every team that tries vanilla AI hits the same wall : it is clever, it is fast, it just does not know us.
Hyperskill is the OS where every company builds their own brain. The brain is the runtime that holds your context : your skills, your memory, your scheduler, your automations. Hypertools is the extensibility framework that scans your stack every six hours and writes the skills file the brain needs to work.
You do not fine-tune. You do not engineer prompts. You plug your stack and your team starts shipping.
II
Operators, not CTOs.
100% of our daily users are non-technical.
We expected the power users to be engineers. We were wrong.
The editor-in-chief ships sixty articles a week from a voice note. The COO opens Hyperskill from Mattermost before nine in the morning. The head of sales pulls weekly competitive briefs without a single IT ticket. The product manager hands off a spec, the brain opens the ticket, drafts the code, dry-runs it, and pings a human dev for review.
Engineers have a script fallback. They can write the bash one-liner, glue the API, schedule the cron. Operators do not. So when the brain works, they use it. And they use it more than the engineers ever would.
We sell to operators. Not CTOs.
III
The brain compounds.
Customers ship new capabilities every week.
Most software is fixed at delivery. You buy a tool, you get a feature set, end of story. The next capability comes when the vendor decides to build it.
Hyperskill is different. The brain learns daily. It detects what your team asks twice and creates the skill automatically. Your dev team extends Hypertools with new primitives whenever they want. Two weeks in, you have twelve skills. Eight weeks in, you have twenty-three. Twelve weeks in, you have thirty-five and counting.
More skills, more value, more usage, more skills. The brain compounds with you.
IV
Sovereign by default.
Cloud or Mac Mini. Same brain, your data, isolated by tenant.
Some clients run Hyperskill on a Mac Mini in their office. Their data stays on premise. Orchestration is local. Inference can run via Anthropic API or local fallback. France Cryptos runs in the cloud, EU-hosted. Both deployments run the same brain. You pick the one that fits.
Each customer runs their own runtime. No shared tenancy, no shared memory, no cross-customer data path. The skills file, the embeddings, the conversation history : all isolated. Local-model inference is on the roadmap, so a customer who needs full sovereignty will eventually run without a single cloud LLM call.
For media operators in particular, sovereignty is not a feature. It is a precondition. Sources, drafts, internal notes, audience data : none of it should leave the building unless you say so.
V
Why us.
Built by 4 operators in Paris.
Two CTOs lead the technical side. Romain spent fifteen years building products and ten as CTO of a top-ten French media. Mickael built an autonomous-driving model at nineteen that beat Renault engineers, and now runs the data layer of Hyperskill. Maxime, the COO, did research at SwissBorg at twenty-one and co-founded Noodles before joining. Raphael runs France Cryptos, our top-three French blockchain media, and has been the first user of Hyperskill from day one.
We do not sell what we do not run. We run our top-three media on our own brain. Our design partner runs theirs. Twenty daily users, all non-technical.
We are moving to San Francisco for Y Combinator. By demo day, we target five paying media at two to five thousand a month each.