Profound raises a $180 million Series D at a $1.8 billion valuation led by Sequoia Capital and Kleiner Perkins
Funding ● Confirmed 93% confidence first seen
Profound announced a $180 million Series D financing at a $1.8 billion valuation, about seven months after its prior $96 million Series C. The funding is intended to support marketing-focused AI capabilities, including model post-training or customization and work on benchmarks to measure performance, alongside expanding related product offerings.
The deal
Profound $180 million Series B · announced 15 Sep 2026
Investors Sequoia Capital Kleiner Perkins
Deal terms as reported in the coverage below.
Decision brief
- What changed
- Profound announced a $180 million Series D at a $1.8 billion valuation, led by Sequoia Capital and Kleiner Perkins, roughly seven months after its prior $96 million Series C. The company said the new capital will fund marketing-oriented AI capabilities, including post-training or customizing models, building performance benchmarks, and expanding products such as AI search campaign management.
- Why it matters
- This financing signals that investors see growing commercial value in tools that help brands influence visibility and citation inside AI services, not just traditional search. For decision-makers, it suggests the marketing stack is expanding toward AI-native discovery, measurement, and campaign management, which could affect budget allocation, vendor selection, and how teams evaluate brand presence in generative AI channels. The rapid step-up in valuation also indicates a more competitive vendor landscape may form quickly around AI marketing infrastructure.
- Evidence
- All three cited outlets consistently reported the same core facts: a $180 million Series D at a $1.8 billion valuation led by Sequoia Capital and Kleiner Perkins. TechCrunch, SiliconANGLE, and Tech Funding News also aligned that the funds are intended for marketing-focused AI expansion, with SiliconANGLE and Tech Funding News adding specifics on model customization, benchmarking, an applied-AI research operation, and campaign management products.
- What remains uncertain
- The coverage does not verify customer adoption, revenue scale, or whether Profound’s model customization and benchmarking efforts will materially outperform existing marketing or search tools. It is also unclear how durable demand will be for AI-search optimization and paid AI search campaign management, since platform rules, attribution standards, and brand-safety expectations in AI services are still evolving.
- Monitor next
- Watch for announced customer wins or measurable case studies showing that Profound’s tools improve brand citation, discovery, or campaign performance inside major AI platforms.
Analytical support, not advice — assumptions and open questions stated above.