Funding

Era Raises $11M for AI Gadgets Software Platform

Startup Era has secured $11 million in funding to develop a software platform for AI devices. The company provides tools for hardware makers to build AI agents without creating gadgets themselves. Backed by investors like Abstract Ventures, Era aims to power diverse form factors from glasses to home speakers.

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April 23, 20264 min read
Era Raises $11M for AI Gadgets Software Platform

Era Raises $11M for AI Gadgets Software Platform

Startup Era has collected $11 million in total funding to create a software platform that supports AI gadgets. The company focuses on enabling hardware developers to build AI agents and manage operations for various devices. It avoids making its own hardware and instead supplies a software foundation for tasks such as custom voice generation or adding smarts to items like headphones.

Earlier this month in April, Era hosted an event in New York for artists who received its developer kit. These creators displayed small experimental gadgets. Examples included a souvenir that shares facts and jokes about France, a phone-shaped tool that checks stocks and advises if it's time to leave your job, and a device that reports air quality levels.

Funding Breakdown

Era's $11 million includes a $9 million seed round. Abstract Ventures and BoxGroup led that investment. Collaborative Fund and Mozilla Ventures also joined. Before this, the startup gained $2 million in pre-seed funding from Topology Ventures and Betaworks.

Angel investors feature Caterina Fake, co-founder of Flickr. Ken Kocienda created the iPhone keyboard. Tony Wang founded OAS. Daniel Kuntz co-founded Little Guy. Mina Fahmi co-founded Sandbar. ShaoBo Z served as CPO at Rabbit. Kelin Zhang made Poetry Camera.

Era launched last year. CEO Liz Dorman, CTO Alex Ollman, and CPO Megan Gole started it. Dorman handled AI orchestration at Humane. She moved to HP after that firm's acquisition. Ollman developed agentic frameworks for enterprises at HP. Gole worked at Sutter Hill Ventures on the Jony Ive and Sam Altman io project. She later joined Era.

Casey Caruso, an investor from Topology Ventures where he is founder and managing partner, praised the platform. He noted its strength in dynamic routing across models and handling real-world issues like connectivity.

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Platform Capabilities and Vision

Era supplies more than 130 large language models from over 14 providers. These support AI gadgets in forms like glasses, jewelry, and home speakers. The platform manages multimodal inputs and inference to enable smart features.

CEO Liz Dorman explained the main goal. "I think one of the incredible things that we can do with these AI models today is that you can replace that app layer. So what we're building is the intelligence layer to allow anyone to create these types of intelligent objects, intelligent devices. And what we really believe is that the future of tech should not be made by people in San Francisco…It should not be people in their high fortresses who are so out of touch with reality, making devices and forcing them onto everyone. I want a choice over my devices again," Dorman said.

She predicted a wide range of hardware. "You can imagine this intelligence layer going to many different types of hardware. So we believe it's not gonna be just glasses or rings or just bracelets. We're gonna have a Cambrian explosion of what's possible, and this is because tech is commoditized," she added.

The system scales to millions of devices. It also fits custom AI experiments by brands for specific audiences. Era plans privacy-focused options where users pick their memory and model providers. Like the artist event, it will open the platform to makers and open source communities to demonstrate uses across devices.

AI Hardware Challenges

The AI hardware field lacks proven winners. Humane sold to HP. Rabbit has gone quiet. Plaud succeeded in meeting note-taking. Sandbar and Taya remain early stage. Era expects users to embrace devices as use cases grow and some prove sticky.

Dorman stressed building for next-generation devices that skip the app model entirely.

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