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Era

creating intelligence to fit objects you choose

Designing intelligence for the things you choose.
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Interesting concept and product, having people in the video makes it even better, but it feels a bit too lengthy.

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Era is building a software layer that lets hardware makers add AI agents and orchestrations to their devices, handling tasks like customized voice creation or adding intelligence to classic form factors such as headphones. The platform is aimed at device manufacturers, brands, designers, and independent creators who want their objects to think and respond in a distinct style, without having to stitch together their own model stack. Currently, the company provides over 130 LLMs from more than 14 providers to enable different AI gadget form factors such as glasses, jewelry, and home speakers. Era was founded last year by CEO Liz Dorman, CTO Alex Ollman, and CPO Megan Gole. Dorman worked at Humane on AI orchestration and transitioned to HP as part of the company's acquisition, Ollman worked at HP on agentic frameworks for enterprises, and Gole came from Sutter Hill Ventures where she was on the Jony Ive and Sam Altman io project before joining Era. The team is pitching the platform as an alternative to the app model, with Dorman arguing that AI can replace the app layer so that intelligence, not a screen of icons, becomes how people interact with an object. The launch is paired with funding. The company has raised $11 million to date, including a $9 million seed round led by Abstract Ventures and BoxGroup with participation from Collaborative Fund and Mozilla Ventures, following an earlier $2 million pre-seed from Topology Ventures and Betaworks, alongside angels including Flickr co-founder Caterina Fake, iPhone keyboard creator Ken Kocienda, and Poetry Camera creator Kelin Zhang. The timing matters because AI hardware is in an awkward middle stage after Humane's sale to HP and Rabbit's quiet period, and Era is betting that the next wave of devices will come from many small makers rather than one flagship gadget company, which is exactly the audience a horizontal intelligence layer needs to serve.
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Comments (11)
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Priya Ravindran4/23/2026

intelligence layer for devices is a huge swing. the hard part isn't the model, it's convincing manufacturers to trust someone else with the soul of their product.

Darren Oyelaran4/23/2026

we explored something adjacent at Meta in 2019 and shelved it because the device partners kept wanting their own wake word, own voice, own everything. curious how Era threads that needle.

Tomek Wisniewski4/23/2026

before I say interesting, what's the retention story when a brand can swap you out for an on-device model next year? the switching cost here is doing a lot of quiet work.

Kenji Morohoshi4/23/2026

the wordmark is doing that breathy lowercase thing everyone copied from Humane. the wind emoji in the bio is committing to the bit though, respect.

Folasade Okonkwo4/23/2026

the tweet buries the actual product under 'ecosystem' and 'platform' talk. show me one object that thinks in its own style and I'll forward this to ten friends.

Liz W.4/23/2026

fair hit, the landing page does more of that work than 280 chars could. the demos are the real pitch.

Maxim Petrov4/23/2026

are the SDKs public or is this a 'hop on a call with our solutions team' situation? asking for every hardware tinkerer in my discord.

Hiroki Tanabe4/23/2026

indie hacker brain wants to know the team size that shipped this. if it's under fifteen people I'm framing the org chart.

Arjun Seshadri4/23/2026

the demo reel cuts suspiciously fast around the latency moments. I want to see one unedited thirty second interaction before I believe the responsiveness claims.

Berto Calvani4/23/2026

per-device licensing or per-query? because those two pricing models imply very different companies and the site is coy about which one this is.

sunniva4/23/2026

objects that think in their own style is a beautiful sentence. most products that promise it end up sounding like the same chatbot wearing different hats.