Allbirds has pivoted from footwear to AI infrastructure, rebranding as Smartbird and appointing former AWS exec Nadia Carlsten as CEO. The company sold its shoe business for $43 million, raised $100 million more, and is now focused on building a specialized AI compute provider serving customers prioritizing data sovereignty and control.
- Former Allbirds shoe business sold for $43M; new entity Smartbird raises $100M
- CEO Nadia Carlsten recruits fresh team to build AI infrastructure startup
- Focus on data sovereignty and tailored compute for regulated industries
What happened
In April, Allbirds exited the footwear market and rebranded as Smartbird to concentrate exclusively on artificial intelligence infrastructure. The company sold its original shoe business for $43 million and subsequently raised an additional $100 million in funding anchored by public market investors. Smartbird appointed Nadia Carlsten, a former AWS executive and PhD holder, as its CEO. She joined recently and immediately began assembling a leadership team while planning office space in Amsterdam.
Smartbird positions itself as a startup with a substantial seed round but no existing employees apart from its founder-CEO. The company aims to offer AI compute infrastructure focused on clients that demand greater control over their servers, putting a premium on data sovereignty and compliance needs rather than competing on scale or cost with hyperscale public clouds.
Why it matters
As demand for AI compute surges, many firms struggle with the trade-offs of using large public clouds, especially those in regulated industries like pharmaceuticals, energy, finance, and the public sector. These companies increasingly seek bespoke AI infrastructure solutions allowing them to govern their data and customize deployments while maintaining control of the underlying hardware.
Smartbird intends to fill this niche by providing tailored AI infrastructure deployments that prioritize agility and sovereignty over mass scale and low cost. Unlike neocloud providers focusing on chip cost arbitrage and massive GPU fleets, Smartbird targets organizations needing hundreds to thousands of chips with full command of their compute environments. Established competitors like Hewlett Packard and Equinix already serve aspects of this market, but Smartbird plans to directly compete with internal company projects rather than hyperscalers.
What to watch next
The biggest near-term milestones for Smartbird will be building out its core team and successfully deploying compute clusters for initial customers before the end of the year. The company has yet to define its total addressable market size precisely, as AI adoption is still ramping up and many organizations remain in pilot phases.
Investors and industry watchers will be interested to see whether Smartbird can sustain growth without chasing the large-scale cloud model dominant in the AI compute space. Without committing to massive chip orders, the firm’s success will hinge on attracting clients who value bespoke infrastructure and can pay for the differentiated service. CEO Nadia Carlsten’s leadership and ability to establish a credible product offering will be critical indicators of Smartbird’s future viability.