Three engineers who built the brains behind Spotify’s recommendation engine just landed $10 million to bring that same technology to online shopping. According to TechCrunch AI, Sidd Motwani, Ian Anderson, and Shivaditya Sinha announced Thursday that their startup, Malachyte, closed a seed round to scale distribution and hire product and commercial leaders. The round was co-led by Bessemer Venture Partners and Gradient, with Harpoon Ventures joining in.
What these three built at Spotify is worth understanding. Their system, called Vector AI, powers roughly 90% of the recommendations served to Spotify’s 800 million users. The key idea: predict what someone intends to do next, not just react to what they did before. Now they’re pointing that same engine at e-commerce.
What’s actually new here
Most online stores personalize in a fairly crude way. They lean on past purchases, demographic buckets, or logged-in profiles. A first-time visitor gets the same generic storefront as everyone else. A returning shopper gets nudged toward what they bought last time, not what they need today.
Malachyte wants to flip that with what it calls “two-headed Vector AI.” The system reads intent in real time, before the first click, using whatever context is available the moment a page loads. Motwani, the CEO, gave TechCrunch AI a concrete example: a search for “heavy-duty boot” followed by two clicks on steel-toed boots is enough to push work pants and gloves up the page and dress shoes down. No account, no history required.
“Every additional action sharpens the profile, so the experience gets more relevant the longer someone stays, and again on their next visit,” Motwani said.
Why it matters
What stands out here is the argument that retailers are sitting on gold they never mine. Every hover, scroll, search refinement, and add-to-cart is a live signal of intent. Most systems either ignore those signals in the moment or batch them into a segment overnight, by which point the shopper is long gone.
Motwani also points to context that gets thrown away. “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,” he told TechCrunch AI. That’s the gap Malachyte is betting on.
This is significant because it takes personalization tech proven at massive scale, 800 million users is not a pilot, and applies it to a market where the status quo has barely moved in years.
The track record
Malachyte isn’t starting cold. Per TechCrunch AI:
- The team has been building and testing since 2024.
- It worked with more than 20 enterprise customers across travel, grocery, and retail before narrowing focus to e-commerce.
- The platform went live in fall 2025 with Fun.com.
- Since June 2026, it’s been generally available to Shopify merchants through a native integration, with an API path for larger retailers.
That Shopify integration is the piece to watch. It puts the technology in reach of a huge base of merchants who could never build this in-house.
What comes next
Motwani says the bigger prize is uniting merchandising and marketing around a single, shared read of customer behavior. Right now those functions often run on separate data and separate assumptions. One live model of intent could close that gap.
For practitioners, the takeaway is direct. Real-time, intent-aware personalization is moving from the walled gardens of streaming giants into tools any online store can plug in. If Malachyte delivers on the pitch, generic storefronts and stale “you bought this before” recommendations start looking dated fast.
The seed round buys distribution and talent. The real test is whether merchants see the lift in conversion that the Spotify pedigree promises. More detail on the raise and the technology is available in the original TechCrunch AI report.