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Era Raises $11M to Build Next-Gen AI Gadgets

Era, an AI startup founded in 2025, has raised $11M to build a software intelligence layer for next-gen AI gadgets from glasses to jewelry.

Era, an AI startup founded in 2025, has raised $11M to build a software intelligence layer for next-gen AI gadgets from glasses to jewelry.

AI startup Era, showcased an unusual range of handcrafted gadgets, a souvenir that narrates facts and jokes about France, a phone-like device that monitors your portfolio and tells you if today might finally be the day to quit your job, and a compact tool that reports local air quality. Quirky as they may sound, these devices all share one important thread: they run on Era’s AI platform.

Furthermore, what makes Era stand out isn’t the gadgets themselves. Instead, it’s the intelligence layer underneath them and the company has now raised $11 million in total funding to build exactly that.

The $11 million raised to date includes a $9 million seed round led by Abstract Ventures and BoxGroup, with participation from Collaborative Fund and Mozilla Ventures. Additionally, the company previously raised $2 million in a pre-seed round from Topology Ventures and Betaworks.

Notable angel investors also joined the round, including Flickr co-founder Caterina Fake, iPhone keyboard creator Ken Kocienda, and Poetry Camera creator Kelin Zhang, among others a roster that reflects broad confidence in Era’s vision from across the technology world.

Rather than releasing its own consumer gadgets, the company is taking a different and arguably more scalable approach. The company aims to enable hardware makers to build AI-powered devices by providing a software layer that handles tasks such as customized voice creation or adding intelligence to existing devices like headphones.

In other words, they want to be the operating system that makes AI gadgets intelligent regardless of what shape or form those gadgets take.

Currently, the platform provides access to over 130 large language models (LLMs) from more than 14 providers, enabling different AI gadget form factors such as glasses, jewelry, and home speakers.

CEO Liz Dorman, who previously worked on AI orchestration at Humane before transitioning to HP following its acquisition, has articulated a bold thesis behind it’s platform. She believes the next generation of devices won’t rely on the traditional app model at all.

Era was co-founded alongside CTO Alex Ollman, who worked on agentic frameworks for enterprises at HP, and CPO Megan Gole, who previously worked at Sutter Hill Ventures on the Jony Ive and Sam Altman-backed io project.

The AI hardware market is at a crossroads. First-generation devices like Humane’s AI Pin which sold at $699 have faced significant criticism and returns. Meanwhile, companies like Meta continue to experiment with form factors like the Ray-Ban smart glasses. Consequently, the infrastructure question has become increasingly urgent: as AI hardware fragments across wearables, smart home devices, and experimental gadgets, who builds the unifying software layer?

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Era is betting that hardware fragmentation is an opportunity, not an obstacle and that someone needs to build the software layer that lets these devices communicate with each other and with users before the market crystallizes around incompatible standards.

Era investor Casey Caruso, founder and managing partner at Topology Ventures, noted that Era’s orchestration platform stands out specifically because of its dynamic routing across models and its ability to manage real-world constraints such as connectivity.

Going forward, Era plans to open its platform to the broader developer and manufacturer communities. The overall trajectory is to grow the ecosystem and support a wider range of hardware through its AI interface enabling devices to become smarter and to interact with one another in a private and secure environment.

Ultimately, Era envisions a future where AI gadgets are not locked into a single app-centric ecosystem, but instead powered by an open, scalable platform that gives both users and manufacturers genuine flexibility in choosing the right technologies for their needs.

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NN Desk

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