Analysis
Hilbert has raised a $28 million Series A to build AI-driven analytics for business-to-consumer brands, The SaaS News reported, with Andreessen Horowitz leading. The report doesn't disclose a valuation, prior funding, founding date or customer count -- details that would normally help benchmark a Series A of this size.
A Different Corner of the AI Analytics Wave
Most of 2026's AI-analytics funding has concentrated on enterprise-facing tools -- platforms helping B2B companies query internal data in natural language. Hilbert's focus on B2C brand analytics targets a different buyer: consumer companies trying to understand customer behavior, campaign performance and brand sentiment, a category historically served by legacy marketing-mix-modeling vendors and consumer data platforms that predate the current AI wave.
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The Competitive Landscape
Hilbert's closest comparables in consumer marketing analytics include Triple Whale and Northbeam, both built on attribution and performance-marketing data for e-commerce brands, and Klaviyo, which has expanded from email marketing into broader customer-data analytics since its 2023 IPO. None of those three has disclosed a round at this size recently, making Hilbert's AI-native pitch a direct challenge to incumbents that built their analytics stacks before generative AI reshaped what's possible in automated insight generation. Pulse tracks the broader AI-funding landscape on its AI valuations hub.
The Numbers In Context
A16z's name alone signals conviction, but a $28 million Series A with no disclosed valuation is a modest raise relative to the nine- and ten-figure AI infrastructure rounds dominating headlines this year -- a reminder that not every AI-labeled startup is chasing a billion-dollar mark at this stage. Without a revenue or customer figure, it isn't possible to say whether Hilbert has found product-market fit with brand marketing teams or is still proving the thesis.
What the Headline Misses
B2C brands have historically been slower, more price-sensitive data-infrastructure buyers than enterprise software customers, often churning analytics vendors when a tool doesn't directly move a marketing decision. Whether Hilbert's AI-native approach proves stickier than the legacy BI tools B2C marketing teams already use remains unproven without disclosed retention or usage data -- a risk any investor evaluating the category has to weigh against a16z's conviction alone.