Three former Spotify engineers who built the behavioral intelligence infrastructure behind the streaming giant’s recommendation engine have raised $10 million in seed funding to bring similar technology to e-commerce. Sidd Motwani, Ian Anderson, and Shivaditya Sinha launched Malachyte, a startup that applies real-time, intent-aware personalization to online retail, the company announced Thursday.
Motwani, Malachyte’s CEO, told TechCrunch that the system, called “two-headed Vector AI,” predicts what a shopper wants next while simultaneously learning their general taste. Unlike conventional personalization tools that rely on past purchases or demographic segmentation, Malachyte reads live behavioral signals—hovers, clicks, scrolls, search refinements, and add-to-cart actions—to adapt the storefront within a single session, even for first-time visitors with no account or history.
Also read: Tesla hits 10 million EVs built, but the hardest part of Musk's pay package lies ahead
“A search for ‘heavy-duty boot’ followed by two clicks on steel-toed boots is enough to move work pants and gloves up the page and push dress shoes down,” Motwani explained. “Every additional action sharpens the profile, so the experience gets more relevant the longer someone stays.”
The funding round was co-led by Bessemer Venture Partners and Gradient, with participation from Harpoon Ventures. The capital will be used to scale distribution and hire product and commercial leaders.
Also read: Nscale acquires Anyscale for $1.65B to deepen its AI infrastructure stack
From Spotify’s 800 million users to online storefronts
At Spotify, the trio spent years developing the behavioral intelligence system known as Vector AI, which now powers roughly 90% of the platform’s recommendations for its 800 million users. That system predicts a person’s intent and next actions rather than merely reacting to past behavior—a distinction the founders believe is largely missing in e-commerce.
Most online stores treat all visitors the same, Motwani argues. First-time shoppers see a generic storefront, and returning customers get recommendations based on what they bought before, not what they need today. “Every hover, click, scroll, search refinement and add-to-cart is a signal, and most systems either never act on it in the moment or aggregate it into a segment overnight,” he said. “We read it continuously.”
Contextual signals are also underused, he added. “A phone visitor at 11 p.m. from an email link is in a different state of mind than the same person on a laptop mid-morning, and most systems treat them identically.”
What Malachyte’s launch means for retailers
Malachyte has been developing and testing its technology since 2024, working with more than 20 enterprise customers across travel, grocery, and retail before focusing on e-commerce. Its platform first went live in fall 2025 with Fun.com, and since June 2026 it has been generally available to Shopify merchants through a native integration. Larger retailers can integrate the technology via API.
The startup’s approach reflects a broader shift in e-commerce toward real-time personalization, moving away from batch-processed segments and toward systems that adapt as a shopper browses. For smaller merchants on Shopify, this could level the playing field, offering recommendation capabilities previously available only to large retailers with dedicated data science teams.
Looking ahead, Motwani sees the bigger opportunity in unifying merchandising and marketing around a single, real-time understanding of customer behavior—a vision that could reshape how online stores approach conversion and customer retention.
This article is for informational purposes only and does not constitute financial advice. The e-commerce and AI markets are volatile and uncertain; readers should conduct their own research before making business or investment decisions.
