TL;DR
Allbirds’ CEO Nadia Carlsten has launched a new AI infrastructure company with no employees yet, focusing on niche control and data sovereignty. The move follows Allbirds’ recent shift away from its shoe business.
Allbirds’ new AI infrastructure venture, led by CEO Nadia Carlsten, has no employees as of its launch, with the company focusing on building a niche market for data-sovereign AI deployments. This marks a stark shift from its previous shoe business, which was sold off in April.
Following the sale of its shoe business for $43 million and a $100 million raise, Allbirds rebranded as Smartbird, pivoting into AI infrastructure. Nadia Carlsten, a former AWS executive with a PhD in engineering, assumed the CEO role yesterday and announced that she is assembling a new leadership team. She emphasized that the company is starting from zero, with plans to deploy compute clusters for several clients by year’s end.
Smartbird aims to serve companies seeking direct control over their AI hardware, prioritizing data sovereignty over the scalability offered by public cloud providers. Carlsten highlighted that their target market includes industries with strict data requirements, such as pharmaceuticals, energy, finance, and the public sector. Unlike large cloud providers or hyperscalers, Smartbird is not focused on high-volume GPU scaling but on agility and control for niche use cases.
While competitors like Hewlett Packard and Equinix offer managed AI compute services, it remains unclear whether Smartbird can scale to the same level or compete on price. Carlsten noted that her company’s approach is about providing more tailored infrastructure for specialized workflows, not mass-market cloud services. The company does not yet have a defined market size, as many potential clients are still in pilot phases.
Why the Lack of Employees Is a Strategic Choice
The absence of employees at launch underscores Smartbird’s unconventional approach—building a company from the ground up with a focus on highly specialized, controlled AI infrastructure. This strategy could allow for rapid, flexible deployment tailored to niche markets, but also raises questions about how quickly the company can scale and compete with established providers.
For investors and industry watchers, this move signals a potentially disruptive approach to AI infrastructure, emphasizing control and data sovereignty over economies of scale. It also reflects broader industry trends where firms seek to differentiate in a crowded cloud and AI services market.

The Capability Cycle: The "Buy Smart" Framework for Navigating the AI Era, Cloud Hangovers, and Hyper-Accelerated Hardware
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Allbirds’ Pivot to AI and Market for Data-Controlled Infrastructure
In April, Allbirds shifted its focus away from footwear, selling its shoe business and rebranding as Smartbird. The company’s pivot into AI infrastructure aligns with a broader industry trend where demand for specialized, data-sovereign compute solutions is growing. Nadia Carlsten’s appointment as CEO signals a move toward building a dedicated, startup-like operation in this space.
Smartbird’s strategy contrasts with large cloud providers and emerging AI chip startups that aim for mass-scale deployment. Instead, it targets industries with strict data requirements, where control over infrastructure is critical. The company’s approach is still in early stages, with deployment expected later this year, and its market potential remains to be seen.

THE CLOUD EXIT STRATEGY: The Architect’s Guide to Multi-Cloud Portability, Provider-Agnostic Networking, and Data Act Compliance (The Sovereign Cloud Architect Series)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Unclear Market Size and Growth Potential
It remains uncertain how large the market for data-sovereign AI infrastructure will become, and whether Smartbird can scale quickly enough to compete with larger providers. The company’s future growth depends on industry adoption, which is still in pilot phases, and its ability to attract clients without an existing team or sales infrastructure.

Rosewill 4U Rackmount Server Chassis | Supports up to 24 3.5" 12Gbps Hot Swap SATA/SAS | E-ATX & SSI-EEB Compatible | 3X 120x38mm PWM Fan | RSV-H424
24-Bay 12Gbps Storage Powerhouse in 4U: Maximize your rack space efficiency with a petabyte-scale storage server. This chassis…
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Deployment Plans and Market Entry Timeline
Smartbird plans to deploy compute clusters for several clients by the end of 2026, focusing initially on industries with high data control needs. The company will likely announce partnerships or pilot projects in the coming months, providing a clearer picture of its market traction and growth trajectory.

AC Infinity Hydro Sensor, Environmental Sensor for Controller AI+, Manage pH, EC, TDS and Water Temp for Grow Tents, Unlock Automations for Equipment Programming in Hydroponics, Aquariums, and Pools
Designed for AC Infinity AI Controllers, tracking pH, EC, TDS, and water temp to unlock advance automation for…
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Key Questions
Why does Allbirds’ new AI company have no employees?
The company is in its early startup phase, building a dedicated team from scratch to focus on niche AI infrastructure, emphasizing agility and control for specific industries.
What is Smartbird’s main focus in AI infrastructure?
Smartbird aims to serve companies that require direct control over their AI hardware and data sovereignty, rather than competing on cloud-scale or price.
How does this move relate to Allbirds’ previous business?
Allbirds sold its shoe business and rebranded as Smartbird, shifting from consumer footwear to niche AI infrastructure, marking a significant pivot driven by strategic reorientation.
What challenges does Smartbird face in its market entry?
The company must build its team, attract early clients, and establish credibility in a competitive AI infrastructure space with few resources and no existing sales force.
Source: TechCrunch