Hightouch closed a $150 million Series D funding round on April 29, 2026, reaching a $2.75 billion post-money valuation. Goldman Sachs Growth Equity and Bain Capital Ventures co-led the round. The valuation marks a 2.3x jump from the company’s $1.2 billion Series C in February 2025, when it raised $80 million.
What Hightouch Built
Hightouch’s platform combines customer data, brand context, and marketing orchestration into a system where AI agents research audiences, generate on-brand creative, and execute campaigns across advertising, email, SMS, and web channels. The pitch: instead of marketers manually assembling campaigns from disconnected tools, agents operate directly on top of a company’s first-party data systems and run 24/7.
“We built Hightouch to rethink marketing end-to-end, so AI agents can operate directly on trusted data, find opportunities 24/7, and then generate and execute high-quality campaigns across channels,” co-founder and co-CEO Kashish Gupta said in the company’s press release.
The company has posted greater than 100% revenue growth in each of the past two years, according to PYMNTS.
Why Goldman and Bain Wrote the Check
Darren Cohen, partner at Goldman Sachs, framed the investment around infrastructure positioning. “Hightouch has built a platform that enables companies to deploy AI agents directly on top of their most trusted data systems,” Cohen told PYMNTS. “We believe that approach positions them to define the next category of marketing infrastructure.”
The new capital will fund expansion of Hightouch’s AI-driven campaign orchestration, decisioning, and cross-channel execution capabilities.
Where This Fits in the Funding Landscape
Hightouch’s round adds to a concentrated week of agentic AI funding. Rogo raised $160 million for autonomous financial analysis agents, and General Analysis closed a $10 million seed for agentic AI security infrastructure, both announced on the same day. The pattern: vertical agentic platforms that embed agents into specific enterprise workflows are attracting growth-stage capital at accelerating valuations, while horizontal agent frameworks compete on a different axis entirely.
Marketing is a particularly natural fit for autonomous agents because the workflow is already data-driven, multi-step, and repetitive. The difference between a human marketer assembling a campaign and an agent doing it is speed and scale, not judgment complexity. That makes it one of the first enterprise functions where full agent orchestration could deliver measurable ROI.