Malachyte Co-Founders Ian Anderson (CTO), Shivaditya Sinha (COO) and Sidd Motwani (CEO)
Malachyte, a behavior intelligence startup founded by former Spotify engineers, has raised $10 million in seed funding to expand its AI platform that helps retailers personalize online shopping experiences in real time. The financing was co-led by Bessemer Venture Partners and Gradient Ventures, with participation from Harpoon Ventures.
The New York-based company was founded by Chief Executive Officer Sidd Motwani, Chief Technology Officer Ian Anderson and Chief Operating Officer Shivaditya Sinha, the team behind the behavioral intelligence infrastructure that powers more than 90% of Spotify’s recommendation system across more than 800 million users and over one billion content items. The founders are now applying similar technology to e-commerce, where retailers are seeking more effective ways to convert website traffic into sales.
The funding comes as online retailers face mounting pressure from rising customer acquisition costs and increasingly competitive digital advertising markets. While advances in machine learning have improved audience targeting across platforms such as Google, Meta and TikTok, many retailers continue to rely on static website experiences that struggle to adapt to individual shopper behavior, particularly for first-time visitors.
Malachyte’s platform is designed to address that challenge by analyzing shopper behavior rather than relying on cookies, account logins or historical customer profiles. The company’s technology continuously interprets visitor intent and preferences during a browsing session, allowing retailers to personalize product recommendations and merchandising across websites, email campaigns and other digital channels.
Motwani said the platform was built to help retailers better understand every shopper, including first-time visitors who typically receive generic online experiences. He said behavioral signals provide a more effective foundation for personalization than traditional identity-based approaches, allowing recommendations to improve as customers continue interacting with a brand.
The company’s technology uses what it describes as a two-headed vector AI architecture that simultaneously evaluates customer intent and product preferences by analyzing visual context and browsing behavior instead of relying solely on keywords or product tags. According to Malachyte, the platform can be deployed in as little as seven days, supports sub-200 millisecond response times during peak shopping periods and includes merchandising controls that allow retailers to establish business rules alongside AI-generated recommendations.
Early commercial adoption has produced measurable results for several retail customers. HalloweenCostumes.com, part of Fun.com, reported a 31% increase in revenue per visitor after implementing the platform. Brunt Workwear recorded an 80% improvement in add-to-cart click-through rates, while apparel brand Jordan Craig reported a 17% increase in revenue per visit from first-time shoppers, a significant metric given that approximately 80% of its website traffic comes from new visitors.
Emilee Walch, Vice President of Digital Product at Brunt Workwear, said the platform has improved product recommendations throughout the customer journey by adapting to visitor behavior from the moment shoppers arrive on the company’s website. She said the technology delivered a measurable return on investment shortly after deployment.
Investors view the opportunity as extending beyond traditional e-commerce personalization. As AI-powered shopping agents become more involved in product discovery and purchasing decisions, the ability to understand buyer intent in real time is expected to become increasingly important for retailers competing across digital channels.
Maha Malik, Vice President at Bessemer Venture Partners, said the evolution of AI-driven commerce is raising expectations for personalized shopping experiences while increasing the need for infrastructure capable of interpreting buyer intent. She said the founding team’s experience developing recommendation systems at global scale positions the company to help retailers adapt to changing consumer behavior.
Malachyte plans to use the new capital to expand distribution of its behavior intelligence platform and hire senior commercial and product executives as it grows its customer base. By focusing on real-time behavioral data rather than identity-based personalization, the company is positioning itself to help retailers improve conversion rates and revenue per visitor in an increasingly competitive e-commerce environment.
