Problem & Solution Report

The Problem

Go‑to‑market (GTM) teams often struggle to identify buying intent in real time. Traditional lead‑generation tools provide delayed or noisy signals, causing missed opportunities and wasted outreach efforts. Companies need a way to monitor a wide array of online activities—such as code commits, blog posts, announcements, and social media—to capture the moment a prospect reveals intent.

Autumn AI's Solution

Autumn AI builds the first real‑time signal intelligence platform for GTM teams. It continuously monitors posts, code commits, blogs, and announcements, surfacing buying signals the moment they appear. Users define their Ideal Customer Profile (ICP) and the specific signals that matter to them, and Autumn AI delivers a condensed, real‑time feed filtered by those intents. This enables sales and marketing teams to act instantly on high‑quality prospects.

Value Proposition

• Immediate Visibility: Signals are delivered as they happen, eliminating lag.
• Customizable Filters: Teams tailor the platform to their ICP and preferred signal types.
• Efficiency Gains: By focusing on high‑intent activities, GTM teams reduce time spent on low‑value leads and increase conversion rates.

Why It Matters

In fast‑moving markets, the ability to act on buying intent at the exact moment it surfaces can be a decisive competitive advantage. Autumn AI addresses this gap by turning disparate, real‑time data into actionable intelligence for GTM professionals.

Market & Competitors Report

Market Overview

Autumn AI operates in the real‑time signal intelligence space targeting GTM teams. This niche sits at the intersection of intent data, sales enablement, and AI‑driven market intelligence. While specific market size figures are not publicly disclosed, the broader intent‑data market is projected to grow rapidly as companies seek more immediate and actionable insights.

Key Competitors

• Deventral – Provides AI‑driven market intelligence and signal monitoring.
• dotAgent – Focuses on real‑time buyer intent detection for sales teams.
• QXYZ Labs Inc. – Offers a platform for aggregating and analyzing external digital signals.

These competitors are identified through the GetLatka profile as alternative solutions to Autumn AI.

Competitive Positioning

• Differentiation: Autumn AI emphasizes a highly customizable feed based on a defined ICP and specific signal types, aiming for a tighter alignment with sales workflows.
• Potential Advantages: Direct integration of multiple signal sources (code commits, blogs, announcements) and a focus on real‑time delivery may provide faster lead qualification compared to competitors that rely on batch processing.
• Challenges: Limited public data on market share and revenue makes it difficult to quantify competitive standing.

Market Trends & Opportunities

• Growing demand for real‑time intent data as sales cycles accelerate.
• Increased adoption of AI and automation in sales enablement tools.
• Organizations are prioritizing data‑driven prospecting, creating opportunities for platforms that can surface high‑quality signals instantly.

Note: Specific TAM figures and detailed market sizing are not available from the provided sources.

Founders Background Report

Shiv Kampani – Co‑founder & CTO

• AI researcher with a track record of publishing at top conferences, including a NeurIPS paper.
• Previously conducted research at SandboxAQ, a company focused on quantum‑ready security.
• Technical expertise centers on machine‑learning and signal‑intelligence technologies.

Vishnu Sampathkumar – Co‑founder & CEO

• Built sourcing technology for Sierra Ventures, a venture‑capital firm, demonstrating experience in deal‑flow and market intelligence.
• Served as an ML engineer at Modulus, an AI security startup, gaining deep knowledge of applying AI to security and SaaS products.
• Leads the business and go‑to‑market strategy for Autumn AI.

Education & Early Collaboration

• Both founders met during their first day of orientation at Columbia University and have maintained a close professional relationship since.
• Their combined experience spans academic AI research, venture‑capital sourcing, and AI‑focused security product development, positioning them well to lead a real‑time signal intelligence platform.

Company Formation

• Autumn AI was founded in 2025 and is based in San Francisco.
• The initial team consisted of the two founders, with the company now expanding.

Note: A Crunchbase entry listed different founders (Ash Rodrigues, John Yeo) which appears to refer to a different entity (useautumn.com). This discrepancy is documented as a risk.