Hightouch, a San Francisco-based company that helps enterprise marketing teams run AI agents on their own customer data, has raised $150 million in a Series D funding round valuing the business at $2.75 billion. The company was co-founded by Kashish Gupta, Tejas Manohar, and Josh Curl, and has built its product around a specific idea: that AI-powered marketing only works when the AI has direct access to a company’s real, trusted data.
The round arrives at a complicated moment for AI in marketing. Most tools on the market today generate content that is too generic to be useful, partly because they have no connection to how a company actually knows its customers. Research cited by Svitla Systems shows that while 79% of enterprises say they have adopted AI agents, only 11% run them in actual production workflows. Gartner projects that 40% of enterprise applications will include task-specific AI agents by the end of 2026. Getting from experimentation to real deployment remains the central challenge.
The Series D was led by Growth Equity at Goldman Sachs Alternatives and Bain Capital Ventures. Iconiq Capital, Sapphire Ventures, Amplify Partners, Y Combinator, and TD7, the venture arm of The Trade Desk, also participated.
Why AI marketing tools have struggled to deliver
The agentic AI market is growing fast. According to Fortune Business Insights, it was valued at roughly $7.3 billion in 2025 and is projected to grow at a compound annual rate of over 40% through 2034. Much of that demand comes from companies looking to automate workflows that currently require significant human coordination. Marketing sits near the top of that list.
The difficulty is that marketing is not like writing code. Software is structured and predictable, which makes it easier for AI to work with. Marketing depends on brand voice, customer history, and channel-specific decisions, things most AI tools have never been trained on and cannot access. A tool that does not know what a company sounds like, or who its customers are, cannot run effective campaigns on its own. That basic problem is what Hightouch was built to address.
“Marketing is sorely in need of reinvention,” said Kashish Gupta, co-founder and co-CEO of Hightouch. “But most AI solutions haven’t actually changed how marketing works. Instead, they generate vast amounts of mediocre content that doesn’t really get used. 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.”
How Hightouch plans to use the $150 million
The new capital will go toward expanding the platform’s capabilities in campaign orchestration, AI decisioning, and cross-channel execution across advertising, email, SMS, and web. Hightouch recently crossed $100 million in annual recurring revenue and plans to grow its team as part of this next phase. The company has doubled its revenue in each of the past two years, according to the press release, a pace that reflects strong demand from enterprise customers moving past early AI pilots.
“AI is fundamentally changing how enterprises operate, and marketing is one of the largest functions poised for transformation,” said Darren Cohen, Partner at Goldman Sachs. “Hightouch has built a platform that enables companies to deploy AI agents directly on top of their most trusted data systems. We believe that approach positions them to define the next category of marketing infrastructure.”
How Hightouch works and who built it
Gupta, Manohar, and Curl all worked at Segment before starting Hightouch. Segment was a customer data platform that Twilio acquired for $3.2 billion. While there, the founders grew frustrated with what they saw as a persistent divide between data teams and marketing teams. Traditional customer data platforms required companies to copy their data into a separate, third-party system, which created compliance risks, slowed campaign timelines, and put marketing teams at the mercy of engineering backlogs.
Hightouch takes a different approach. Rather than moving data into a new system, it connects directly to a company’s existing data warehouse, whether that is Snowflake, Databricks, Google BigQuery, or another platform. This type of product is called a Composable CDP, a customer data platform that sits on top of infrastructure a company already owns rather than replacing it. Marketers can build audiences, run personalization, and launch campaigns across more than 200 destinations without writing any code.
On top of that data infrastructure sits what Hightouch calls its Agentic Marketing Platform: AI agents that monitor customer data, surface opportunities, generate on-brand creative, and execute campaigns within guardrails set by the enterprise. Domino’s, PetSmart, DraftKings, Ramp, and Whoop are among the companies currently using it.
The investors behind the round
Hightouch came out of Y Combinator’s Summer 2019 batch and has raised money steadily since then. Several investors from earlier rounds returned for this one, including Bain Capital Ventures, Amplify Partners, Iconiq Capital, Sapphire Ventures, and Y Combinator itself.
TD7, The Trade Desk’s venture arm, is a new participant. The Trade Desk is one of the largest independent programmatic advertising platforms, and its involvement reflects a strategic interest in how Hightouch activates advertising audiences from customer data.
Growth Equity at Goldman Sachs Alternatives led the round. The team has deployed over $13 billion into growth-stage technology companies since 2003, with a focus on enterprise software and financial technology. Prior to this Series D, Hightouch raised $38 million in 2023 at a $615 million valuation, then $80 million in a Series C in early 2025 at a $1.2 billion valuation. The move to a $2.75 billion valuation in this round more than doubles the company’s previous mark.
