Spangle Ai
Agentic AI platform for e-commerce post-click optimization.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | N/A | Seed | |
| Total Funding | 000k | ||
Spangle Ai provides an AI-powered commerce platform designed for retailers to maximize revenue from paid traffic. The company was founded in 2024 by CEO Maju Kuruvilla, CTO Fei Wang, and Co-Founder Jon Stanford. The leadership team possesses extensive experience from companies like Amazon, Gap, Saks Off Fifth, and Bolt.
Kuruvilla, a technology entrepreneur and AI commerce specialist, previously served as CEO of the one-click checkout platform Bolt and spent eight years at Amazon as Vice President of Engineering, leading the development of large-scale AI systems and global Prime fulfillment technologies. Wang was formerly the CTO at Saks OFF 5th and also spent nearly twelve years at Amazon.
The company's core offering addresses the disconnect between targeted marketing and generic online shopping experiences. Its platform uses agentic AI and a proprietary large product model called ProductGPT to deliver self-optimizing, contextually relevant shopping journeys that adapt in real-time to consumer engagement. This system decodes context, consumer interactions, and merchant data to autonomously enhance revenue per visit, bridging the gap between marketing and e-commerce. The platform creates one-to-one customer interactions at scale, with features like AI-enriched landing pages and site merchandising recommendations. Spangle's business model is presented as "Service as Software," where the AI actively works for the retailer by learning from interactions and refining strategies.
Spangle emerged from stealth in March 2025, securing $6 million in a seed funding round led by Madrona Ventures and Streamlined Ventures. The capital is intended for expanding operations and development efforts. Controlled A/B tests with multiple clients have shown significant results, including a 51% increase in conversion rates, a 46% rise in engagement, and a 2x improvement in Return on Ad Spend (ROAS).
Keywords: agentic AI, e-commerce optimization, revenue maximization, post-click optimization, ProductGPT, self-optimizing shopping journeys, conversion rate optimization, return on ad spend, retail technology, personalized commerce, consumer engagement, AI agents, large product model, customer experience, paid traffic conversion, site merchandising, dynamic personalization