ELENOR
ELENOR is an AI agent platform. You give it a role and the context to do it — chief of staff for a founder, account executive on a sales team — and it works the day alongside you: reading what is coming, ranking what matters, drafting the follow-up and holding the thread until something is actually done.
How the agent works
The challenge
Most AI assistants stop at answering. They summarise an inbox or draft a reply, then hand the work straight back. Anything that genuinely removes work has to hold context across days, judge what is worth surfacing, and be trusted to act — which is a product and trust problem long before it is a model problem.
Our approach
ELENOR is built as one agent that takes a role rather than a bundle of features. Five pillars — Understand, Prioritize, Execute, Protect, Elevate — define what it is allowed to do and how far it can go unsupervised. The console opens on a briefing rather than an empty input, so the first thing you see is a decision, not a prompt. The same engine runs a founder's week or an AE's pipeline; only the role, the context and the permissions change.
What we created
- Agent platform positioning and role model
- Executive assistant role: calendar, priorities, briefings, focus protection
- Account executive role: pipeline, follow-ups and deal momentum
- Daily console: Today, Priorities and Upcoming, with a command bar
- Permission model governing what the agent may do unattended
- ELENOR identity: wordmark, “E” monogram, persona and tone of voice
Selected screens
Put an agent on the work.
Tell us the role you would hand over first — chief of staff, account executive, or something closer to your own workflow — and we will walk you through what ELENOR can take on.