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Spangle Secures $15 Million Funding To Redefine AI-Powered E-Commerce Personalization

by THEFUTURE.TEAM

January 9, 2026

Spangle, led by former Bolt CEO Maju Kuruvilla, has raised $15 million in an all-equity Series A round, elevating its valuation to $100 million. This milestone follows a successful $6 million seed round at a $30 million pre-money valuation and brings the company’s total funding to $21 million with the backing of NewRoad Capital Partners, Madrona, DNX Ventures, Streamlined Ventures, and strategic angel investors.

Revolutionizing E-Commerce With AI

The rise of AI tools and advanced recommendation engines is transforming online retail. As consumers increasingly rely on digital platforms for product discovery, Spangle positions itself at the forefront by offering software that personalizes shopping experiences in real time. Leveraging its proprietary ProductGPT model, the platform dynamically generates product recommendations based on user behavior, search queries, and referral sources, ensuring that every visitor encounters a fresh, tailored retail environment.

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Impressive Growth And Enterprise Adoption

Since emerging from stealth mode in March last year, Spangle has secured nine enterprise clients, including leading fashion retailers like Revolve, Alexander Wang, and Steve Madden, whose collective online sales reach approximately $3.8 billion. The platform has achieved a 57% month-over-month increase in traffic, with users expanding their adoption of its features. Notably, Revolve reports a 60% improvement in return on ad spend and a 50% increase in revenue per visit, underscoring the business impact of Spangle’s innovative approach.

Driving Real-Time, Data-Driven Personalization

At the heart of Spangle’s offering is its ability to replace static, pre-built pages with dynamic, AI-driven interfaces. By routing shoppers to a blank page that is populated in real time based on contextual data, Spangle empowers retailers to adapt instantaneously to evolving consumer needs. This methodology not only enhances user engagement but also optimizes key performance metrics, effectively transforming traditional e-commerce strategies.

Strategic Vision And Future Expansion

Drawing from his extensive experience at Bolt and a decade-long tenure at Amazon, Kuruvilla has leveraged his deep industry insights to build a platform geared towards sustainable growth and technological innovation. Alongside co-founder and CTO Fei Wang, a former Amazon principal engineer with notable contributions at Saks Off 5th, Spangle is poised to become a modern, AI-native commerce system. With plans to further invest in research and development, expand its engineering team, and scale its sales operations, Spangle is well positioned to meet the evolving demands of digital retail.

Embracing The Future Of Commerce

As AI continues to reshape how consumers interact with digital content and make purchasing decisions, platforms like Spangle offer a glimpse into the future of e-commerce. By harnessing the power of real-time data and machine learning, Spangle provides brands with the tools necessary to not only meet but exceed the expectations of today’s digitally savvy shopper.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.