Nereus — AI-Powered Deal Intelligence for Modern M&A

Discover and act on high-potential acquisition targets before they hit the market. Built for search funds, SMB buyers, and private equity firms.

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The M&A Deal Flow Problem

Fragmented Data

Scattered across multiple platforms and sources

Time-Consuming

Manual research and analysis takes weeks

Missed Opportunities

Deals slip through the cracks

Our Solution

DealSniper

Real-time NLP analysis of brokered listings. Extracts, scores, and summarizes fragmented deal data so acquirers can evaluate opportunities instantly.

Scout Engine

Identifies off-market acquisition targets using graph neural networks (GNNs) and behavioral signals—like executive turnover, hiring slowdowns, and digital activity.

How It Works

Ingests Listings & Signals

Collects data from broker feeds, job boards, filings, and alt-data sources in real time.

Applies NLP & ML Scoring

Structures and analyzes each target using AI to surface risks, fit, and deal characteristics.

Detects Off-Market Signals

Uses graph neural networks to uncover hidden readiness indicators across private companies.

Delivers Ranked Targets

Outputs a clean, prioritized pipeline of deals — ready for outreach or diligence.

The Timing Is Right

With over $2 trillion in small business assets approaching ownership transition, and AI adoption in M&A up 167% year-over-year, dealmakers are under pressure to move faster and smarter.

Nereus sits at the intersection of these trends — where legacy platforms fall short, and timing is everything.

$2T+
in small business assets expected to change hands this decade
99.7%
of U.S. businesses are SMBs — yet most are off-market
167%
YoY growth in AI use within corp dev and private equity
$50B+
projected TAM for M&A intelligence and software by 2030