Automated relationship intelligence for the world's most valuable deal networks.
Affinity is a high-performance relationship intelligence platform engineered specifically for sectors driven by deal flow, such as Venture Capital, Private Equity, and Investment Banking. Its 2026 architecture is built on a foundation of 'passive data capture,' utilizing patented algorithms to automatically ingest and analyze communication streams from email, calendar, and third-party data providers. Unlike traditional CRMs that require manual entry, Affinity's technical edge lies in its automated entity resolution and relationship scoring models, which quantify the strength of connections based on interaction frequency, recency, and depth. By 2026, the platform has integrated advanced generative AI for deal summarization and predictive networking, enabling firms to uncover 'warm intros' through graph-based analysis of their collective network. The platform's enterprise-grade security and robust API ecosystem allow it to serve as a central source of truth for firms managing billions in AUM, bridging the gap between raw contact data and actionable investment intelligence.
Uses machine learning to analyze the volume, frequency, and recency of communications to assign a score from 1-100.
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A secure network-sharing protocol that allows firms to see connections held by partners or advisors without exposing private email content.
Real-time scraping and data-merging from Crunchbase, Pitchbook, and LinkedIn to fill contact/company gaps.
Identifies the shortest path of warm introductions to a target individual using organizational network graphs.
A built-in BI engine that visualizes deal velocity, conversion rates, and team productivity.
NLP-based analysis of interaction tones to flag potential deal risks or negative relationship shifts.
High-speed indexing of attachments and email bodies across the entire organizational history.
Identifying which investment partner has the strongest link to a trending startup founder.
Registry Updated:2/7/2026
Tracking how often team members are interacting with board members of portfolio companies.
Mapping potential buyers for an M&A mandate based on historical deal relationships.