Hightouch raises $150M Series D at $2.75B to become the only on-brand AI platform for marketers
Key Points
- Hightouch raises $150M Series D at $2.75B valuation led by Goldman Sachs, positioning itself as the only AI platform that keeps marketing content on-brand rather than hallucinating brand details.
- The company pivoted from a first-party data platform to AI-generated creative, letting marketers run 100 campaigns weekly instead of deploying from a static pool of 50 to 100 assets.
- Hightouch charges by active campaigns, not seats, aligning incentives with customer outcomes and measuring conversion data to prove which campaigns actually drive results.
Summary
Read full transcript →Hightouch raises $150M Series D at $2.75B valuation
Hightouch has raised a $150M Series D at a $2.75B post-money valuation, led by Goldman Sachs. The round positions the company as the leading AI platform for marketers — specifically one that keeps generated content on-brand rather than hallucinating brand details, which Kashish Gupta argues general-purpose models like Gemini routinely do.
What Hightouch actually does
Founded in 2020, Hightouch spent its first four years helping marketers use first-party customer data for personalization. The pivot is using that same data layer to power AI-generated creative: ads, emails, images, and UGC video. The on-brand claim is the core product bet — because Hightouch has access to a brand's customer data and brand guidelines, it can constrain outputs in ways a generic model can't.
The platform is model-agnostic by design. Gupta says Hightouch selects the best model for each task — citing GPT Image 2.0 for skin rendering, Gemini for other tasks — and routes generation accordingly as the model landscape shifts.
“I'm Kashish Gupta, co founder and co CEO of High Touch. We built AI platform for marketers. Today, we're announcing our series d, which is a 150,000,000 at two point seven five post led by Goldman Sachs... Any transparently, company that's still on seat based pricing is not looking forward to the rest of 2026.”
The commercial case
The pitch to media buyers is content volume unlocking media scale. Most brands, Gupta says, have only 50 to 100 pieces of high-quality creative. That cap limits what a media buyer can actually test and deploy. Hightouch's argument is that AI-generated content removes that ceiling — one marketer can now run 100 campaigns in a week, measure what's working, and iterate. He cites a home-services marketplace that now runs separate creative for homeowners versus renters versus owners, something it couldn't do before.
On waste reduction, Gupta says Hightouch can identify underperforming spend because customers like DoorDash and Aritzia have given the platform access to their conversion data. Knowing which customers actually converted means Hightouch can measure ground truth on whether a campaign is working, not just whether it was served.
Pricing
Hightouch charges by the number of active campaigns powered, not by seats. Gupta is blunt that any marketing tool still on seat-based pricing "is not looking forward to the rest of 2026." The consumption model aligns incentives directly: if a customer keeps a campaign running, it's working and they keep paying; if they turn it off, they stop.
One-to-one creative: near-term ceiling
On whether every ad will eventually be generated in real time for a single individual, Gupta is skeptical of the near-term version. Enterprise brands have approval workflows that slow real-time generation, and CMO trust in AI-generated content at that level isn't there yet. His more practical framing is one piece of content for every 10,000 to 100,000 consumers — personalized at meaningful scale, but not fully individualized. He spoke to most major CMOs through 2024 and found very few were actually using AI in production marketing, citing the lack of brand control as the main blocker. That's the gap Hightouch is positioning to close.
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