Vela

We're building AI that handles the tedious coordination work that drains professionals' time, starting with scheduling. Every day, millions of knowledge workers lose hours to the back-and-forth of coordinating meetings: parsing conversation threads, juggling time zones, navigating calendar conflicts, and managing the subtle social dynamics of who should flex for whom.

We're creating autonomous AI agents that handle this complexity end-to-end, reasoning through ambiguous situations the way a skilled executive assistant would. Our goal is to give everyone access to the kind of seamless, context-aware support that was previously reserved for executives with dedicated human assistants.

We're well-funded, and moving fast.

• How do you understand personal preferences/priorities in calendars?
• How do you make agents that communicate on your behalf across channels (voice, chat, email: not just with you but on behalf of you with people)?
• What context do you share and not share?
• How do you share enough context for efficacy?

All powered by ML models, LangGraph, In house memory layers, etc.