
Technology
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Productivity Software
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Builds an autonomous AI scheduling agent that uses NLP, constraint satisfaction, and reinforcement learning to coordinate the most complex, high-stakes multi-party business interactions across email, SMS, WhatsApp, and phone.
Vela has publicly announced multi-channel scheduling across email, SMS, WhatsApp, and phone, real-time calendar sync with Google Calendar and Outlook, automated follow-ups and ghosting recovery, and VIP/priority-aware negotiation. Their website and YC profile emphasize handling the "most complex interactions" with human-like judgment, and they have highlighted enterprise recruiting and executive scheduling as primary verticals. Already used by enterprise recruiters scheduling thousands of interviews a week. Currently running paid pilots and yearly contracts.
Behind the scenes, Vela's GitHub activity and technical blog posts reveal a fork of KuzuDB (graph database) for agent memory and multi-writer concurrent context tracking, suggesting investment in persistent, relationship-aware agent state. Job postings and team backgrounds (AWS ML Supercompute, Perplexity, BCG AI) signal a push toward more sophisticated multi-agent orchestration and reinforcement learning for negotiation strategy. Conference appearances and founder interviews hint at expansion into healthcare, legal, and financial services scheduling.
AI agent autonomously coordinates complex multi-party meetings across channels, resolving conflicts and negotiating optimal times in real time.
It's like having a tireless executive assistant who juggles everyone's calendars across email, text, and WhatsApp and never double-books anyone.
It's like an air traffic controller for calendars—except instead of planes, it's juggling your CEO's investor call, three panel interviews, and a dentist appointment, and nobody crashes.
AI agent detects unresponsive participants and autonomously executes adaptive, channel-switching follow-up strategies to recover stalled scheduling threads.
It's like having a politely persistent friend who knows exactly when and how to nudge someone who hasn't replied—without being annoying.
It's like a golden retriever that learns whether you respond better to a bark at the front door, a nudge on your hand, or just sitting next to you looking sad—and picks the right one every time.
Graph database-powered agent memory system maintains persistent relational context across all scheduling interactions, enabling increasingly intelligent and personalized coordination decisions.
It's like giving the AI a photographic memory of every meeting, preference, and relationship so it never asks you the same question twice.
It's like the difference between a new temp who asks "Who's your boss?" every Monday and a seasoned office manager who already knows everyone's coffee order, parking spot, and which two people should never be in the same room.
Gobhanu and Saatvik are brothers who founded SWIFTmfi (a microfinance bank) at 14, disbursing loans across 77 countries. Gobhanu left Wharton's Huntsman Program to go all-in on Vela and is a Z Fellow with experience at Perplexity and BCG AI. Saatvik dropped out of UChicago (Booth Scholar, MBA/MS CS) to build Vela, filed his first patent at 16, and was an award-winning engineer on AWS's ML Supercompute team with a BS CS+IS from Carnegie Mellon and Z Fellow status.