Autumn AI

Product & Competitive Intelligence

Gives sales teams a live feed of buying signals so they reach prospects the moment intent appears.

Company Overview

A real-time signal intelligence platform for GTM teams. Autumn tracks prospects across posts, commits, blogs, and announcements, surfacing buying signals the moment they appear. Define your ICP and the signals that matter, and get a live feed filtered by intent delivered to email or Slack.

Competitive Advantage & Moat

Product Roadmap & Public Announcements

Real-time signal detection across social media, GitHub, blogs, and announcements. Custom ICP definition, intent-filtered feeds, and Slack/email notifications. Self-serve onboarding for founders and GTM leaders.

Signals & Private Analysis

Best friends since Columbia orientation with complementary backgrounds (VC sourcing tech and AI research). Self-serve onboarding suggests product-led growth motion targeting startup ecosystem before enterprise expansion.

Product Roadmap Priorities

Real-time NLP signal extraction
Improving
Revenue Growth
Go-to-Market

Real-time buying signal detection from unstructured digital sources to prioritize outbound sales outreach.

In Plain English

The platform reads everything your prospects post, share, or build online and instantly tells your sales team who's ready to buy and why.

Analogy

It's like having a thousand interns reading every tweet, blog post, and GitHub repo your prospects touch—except these interns never sleep, never miss a signal, and actually write useful summaries.

Agentic prospect enrichment
Improving
Cost Reduction
Engineering

Autonomous multi-agent system that builds comprehensive, continuously updated prospect dossiers without human intervention.

In Plain English

AI agents automatically build and update a living research file on every prospect by crawling dozens of sources so your reps never have to Google anyone again.

Analogy

It's like having a team of private investigators who each watch a different part of your prospect's digital life and meet every morning to compare notes—except they meet every millisecond.

Predictive behavioral lead scoring
Improving
Decision Quality
Data

ML-driven predictive scoring that dynamically ranks prospects against evolving Ideal Customer Profiles based on behavioral signals rather than static firmographics.

In Plain English

Instead of guessing who fits your ideal customer profile based on company size and title, the AI watches what prospects actually do online and scores them on real behavior.

Analogy

It's like a dating app that stops matching you based on height and job title and starts matching you based on who actually laughed at your jokes and swiped right on your hobbies.

Company Overview

Key Team Members

  • Vishnu Sampathkumar, Co-Founder
  • Shiv Kampani, Co-Founder

Vishnu Sampathkumar built sourcing technology at Sierra Ventures, giving firsthand understanding of what makes a signal valuable. Previously ML engineer at Modulus. Shiv Kampani is a NeurIPS presenter with research at SandboxAQ. Both from Columbia. Best friends since first day of orientation, providing strong co-founder alignment.

Funding History

  • 2026 | Vishnu Sampathkumar and Shiv Kampani co-found Autumn AI.
  • 2026 | Accepted into Y Combinator W26 batch.
  • 2026 | Product live serving B2B SaaS and AI startup GTM teams.

Competitors

  • Intent Data: Bombora, 6sense, Demandbase.
  • Sales Intelligence: Apollo.io, ZoomInfo, Lusha.
  • AI-Native Prospecting: Clay, Unify, Keyplay.
  • Social Listening: Mention, Brandwatch.