Vela

Product & Competitive Intelligence

Autonomous scheduling agent coordinating complex meetings across email, SMS, and WhatsApp.

Company Overview

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.

Competitive Advantage & Moat

Product Roadmap & Public Announcements

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.

Signals & Private Analysis

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.

Product Roadmap Priorities

Constraint satisfaction optimization
Improving
Operational Efficiency
Operations

AI agent autonomously coordinates complex multi-party meetings across channels, resolving conflicts and negotiating optimal times in real time.

In Plain English

It's like having a tireless executive assistant who juggles everyone's calendars across email, text, and WhatsApp and never double-books anyone.

Analogy

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.

Reinforcement learning nudging
Improving
Revenue Growth
Product

AI agent detects unresponsive participants and autonomously executes adaptive, channel-switching follow-up strategies to recover stalled scheduling threads.

In Plain English

It's like having a politely persistent friend who knows exactly when and how to nudge someone who hasn't replied—without being annoying.

Analogy

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-based context reasoning
Improving
Decision Quality
Engineering

Graph database-powered agent memory system maintains persistent relational context across all scheduling interactions, enabling increasingly intelligent and personalized coordination decisions.

In Plain English

It's like giving the AI a photographic memory of every meeting, preference, and relationship so it never asks you the same question twice.

Analogy

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.

Company Overview

Key Team Members

  • Gobhanu Sasankar Korisepati, Co-Founder & CEO
  • Saatvik Suryajit Korisepati, Co-Founder & CTO

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.

Funding History

  • 2024 | Vela founded by the Korisepati brothers.
  • 2025 | Accepted into Y Combinator.
  • 2025 | $5.5M Seed round from Y Combinator, 1121.vc, Leverage VC, Anorak Ventures, and Choo Zi Wei.
  • 2026 | Actively hiring, expanding enterprise customer base, and deepening multi-channel integrations.

Competitors

  • Simple Scheduling Tools: Calendly, Doodle (self-serve, low complexity).
  • AI Calendar Optimizers: Motion, Reclaim.ai (task/calendar optimization, limited multi-party).
  • AI Scheduling Assistants: Clara (email-based executive scheduling), Skej (autonomous B2B scheduling).
  • Enterprise Workforce Scheduling: Kronos/UKG, Deputy (shift-based).
  • Human EA Services: Double, Belay (human-powered executive assistants).