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Nyne

People data platform that provides AI agents with rich human context — professional backgrounds, communication styles, and relationship networks — to enable more personalized and effective AI interactions.

Enterprise AI
People Intelligence
Total Raised
$5M
Last Valuation
$26M

Overview

Nyne is a people data company founded by a father-son duo with a mission to give AI agents the human context they are missing. As AI agents become more prevalent in enterprise workflows — handling sales outreach, customer support, recruiting, and relationship management — they lack the nuanced understanding of individual people that humans naturally develop. Nyne builds structured people data profiles that capture professional backgrounds, communication preferences, relationship networks, and behavioral patterns, then makes this context available to AI agents via API. The result is AI interactions that feel more natural and informed, bridging the gap between automated efficiency and human-quality personalization.

Funding History

1 round · Mar 2026
$5M
Total Raised
1
Valuation: $26M
Cumulative: $5M

Nyne, founded by a father-son duo, gives AI agents the human context they’re missing

Investors not disclosed
Source

Frequently Asked Questions

How much has Nyne raised in total?
Nyne has raised a total of $5M across 1 funding round.
Who are Nyne's investors?
Nyne's investors include Undisclosed.
What does Nyne do?
Nyne is a people data company founded by a father-son duo with a mission to give AI agents the human context they are missing. As AI agents become more prevalent in enterprise workflows — handling sales outreach, customer support, recruiting, and relationship management — they lack the nuanced understanding of individual people that humans naturally develop. Nyne builds structured people data profiles that capture professional backgrounds, communication preferences, relationship networks, and behavioral patterns, then makes this context available to AI agents via API. The result is AI interactions that feel more natural and informed, bridging the gap between automated efficiency and human-quality personalization.