Letter to Shareholders from Smartbird CEO Nadia Carlsten
Sentiment and the balance of points
Rhea-AI Sentiment reads the wording of the document, how positive or negative its language is on a 1 to 5 scale. The balance of points shown with the takes weighs what the document actually discloses, so the two can disagree, for example when a trial that missed its main goal is described in upbeat language.
Rhea-AI Summary
Smartbird (BIRD) has secured U.S. data center capacity through Expedient as it advances prospective customer discussions toward infrastructure deployments. Several discussions have reached detailed technical and commercial planning, covering configurations, locations, financing structures and delivery schedules. Those opportunities remain prospective, with conversion into customer commitments and revenue still a priority.
Technology relationships with Supermicro and WEKA support computing systems and data infrastructure for its AI offerings. Smartbird plans to secure additional capacity selectively against specific customer opportunities and align major purchases and financing commitments with customer contracts rather than speculative capacity. Its priorities for the coming quarters include initial deployments and building the operational capabilities needed to support growth.
How this balance works
Rhea-AI gives every point it takes from this document a weight. Minor counts 1, Moderate 3 and Major 9, so one Major point outweighs several Minor ones. The bar adds up the weights on each side, and when neither side holds more than 65% of the total the balance reads Mixed.
It reads the document as published, with the same rules for every company, and it does not look at what the market expected or at how the stock traded, so a point can be objectively good on a day the stock falls.
Rhea-AI Sentiment measures something else, the tone of the wording.
Hollow bars mark forward-looking points. How the balance works
Positive
- Moderate pointThe Expedient agreement secures U.S. data center capacity to support opportunities in Smartbird's pipeline.
- Moderate pointSeveral prospective customer discussions have advanced into detailed technical and commercial planning.
- Minor point. Forward-looking: it has not happened yet and may not happen.Initial deployments and operational capabilities are planned priorities for the coming quarters.
- Minor point. Forward-looking: it has not happened yet and may not happen.Additional capacity is planned selectively, aligned with specific customer opportunities and requirements.
- Minor point. Forward-looking: it has not happened yet and may not happen.Major purchases and financing commitments are intended to align with customer contracts rather than speculative capacity.
Negative
- Moderate pointProspective commercial opportunities still need to convert into customer commitments and revenue.
- Minor pointSuitable data center capacity remains a prerequisite for converting opportunities; availability directly affects deployment timelines.
Historical Context
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Supermicro collaboration added computing platforms and rack-scale systems.
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WEKA partnership added data and memory infrastructure to managed AI offerings.
24h Move is the share-price change in the day after each event; other market factors may also have contributed.
Key Terms
rack-scale systems technical
inference technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
PALO ALTO, Calif., Nov. 13, 2026 (GLOBE NEWSWIRE) -- Smartbird, Inc. (NASDAQ: BIRD), an AI infrastructure provider, has issued the following letter from Nadia Carlsten, CEO:
In August, I shared our vision for Smartbird. Three months later, we are rapidly moving from vision to execution.
We have established key technology relationships, secured data center capacity, and advanced commercial opportunities with prospective customers. Each represents an important milestone in its own right. Together, they are laying the foundation for Smartbird to deliver AI infrastructure at scale.
Building with the Best
In my first letter, I shared several principles guiding how we build Smartbird. One of them was Build with the best. This principle is particularly relevant today as we establish the relationships needed to deliver for our customers.
AI infrastructure is increasingly complex, and no single company has all the answers. Our approach is to combine the expertise of leading technology and infrastructure providers with our own capabilities to deliver complete solutions to our customers. This allows us to move faster, adapt as technology evolves, and focus our resources where we can create the most value.
On that front, we recently announced two important relationships:
Our collaboration with Supermicro gives us access to a broad portfolio of computing platforms and rack-scale systems, providing flexibility across processor architectures, system configurations, and deployment sizes. This flexibility is increasingly important as customer requirements diversify and new technologies enter the market.
Additionally, our partnership with WEKA brings advanced data and memory infrastructure to our managed AI offerings. McKinsey expects inference will supplant training as the dominant workload in AI data centers by 2030, while advancements in AI agents continue to accelerate. And as inference and agentic AI workloads become more demanding, efficient data access and movement are increasingly critical to system performance and cost. WEKA's technology helps us address these requirements as part of an integrated solution.
These relationships mark the beginning of a broader technology partner network, bringing together proven technologies and specialized expertise, with Smartbird taking responsibility for designing, integrating, deploying, and operating the complete infrastructure stack.
Commercial Progress
Through my conversations with prospective customers, one observation stands out: customers are becoming more sophisticated in how they evaluate AI infrastructure. Their focus is shifting beyond GPU availability and headline pricing to the performance and economics of the entire system.
Simply, buyers want to understand how infrastructure will support their workloads, how quickly it can be deployed, and who will be responsible for operating it securely. They want a partner who can translate storage, networking, power and cooling, and software requirements into an integrated system that meets their performance, deployment, and operating-cost objectives.
My conversations at The Wall Street Journal's recent Tech Live event reinforced this broader shift: attention is moving beyond the promise of AI toward the practical challenges of putting it to work. For us, this reinforces the growing importance of technical expertise and end-to-end accountability. Customers are not simply purchasing computing capacity; they are making long-term infrastructure decisions that will shape their ability to deploy AI and make it useful.
We are seeing the value of our focus on complete infrastructure solutions. Our commercial pipeline continues to develop across opportunities of varying sizes and requirements. Several discussions have advanced into detailed technical and commercial planning, including system configurations, deployment locations, financing structures, and delivery schedules. We are encouraged by the scale and maturity of these opportunities and remain focused on converting them into customer commitments and revenue.
Securing Data Center Capacity
As commercial discussions advance, securing suitable data center capacity becomes a prerequisite for converting opportunities into customer commitments. AI-ready facilities with the required power, cooling, and connectivity are increasingly difficult to secure globally, and availability directly affects deployment timelines. Securing capacity gives customers greater confidence in our ability to meet their requirements and deliver on schedule, helping move commercial opportunities toward execution.
Our agreement with Expedient secures U.S. data center capacity to support opportunities in our pipeline. Expedient is an established data center operator with experience supporting enterprise infrastructure, providing the facilities and operational environment needed for demanding AI deployments. The agreement provides a concrete foundation for deployment planning and represents an important step toward delivering infrastructure for our customers.
We intend to continue to secure capacity selectively, aligned with specific customer opportunities and their requirements. This allows us to advance commercial opportunities while managing capital commitments and execution risk.
Building in a Changing Market
The AI infrastructure market continues to attract extraordinary investment, driven by growing demand for computing capacity. At the same time, investors are paying closer attention to how projects are financed, when they will generate revenue, and whether returns will justify the capital committed.
I believe this scrutiny is a natural and necessary evolution of the market. The long-term opportunity remains substantial, but strong demand alone does not guarantee attractive returns. In a capital-intensive industry with rapidly evolving technology, success depends on carefully managing financing costs, deployment timelines, operating expenses, and equipment lifecycles. As the industry matures, the ability to manage these tradeoffs while delivering reliably will become a critical measure of success.
For Smartbird, this reinforces our approach to building the business. We intend to align major purchases and financing commitments with customer contracts, rather than invest heavily in speculative capacity. We also recognize that the right commercial and financing structure will differ by customer. Some may prefer to own their infrastructure while relying on Smartbird to design and operate it; others may favor a fully managed capacity model. This flexibility allows us to pursue opportunities based on their underlying economics while managing our capital requirements.
Looking Ahead
Our priorities for the coming quarters are clear: convert commercial opportunities into customer commitments, execute our initial deployments, and build the operational capabilities needed to support sustainable growth. We cannot control the broader financing environment, but we can control how we evaluate opportunities, commit resources, and execute. The milestones we have achieved give me confidence in our direction, and I look forward to sharing what comes next.
Sincerely,
Nadia Carlsten
CEO
Smartbird
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FAQ
AI-generated questions and answers. How Rhea-AI works. Not financial advice.
What data center capacity has Smartbird secured for its AI infrastructure business?
Smartbird's agreement with Expedient secures U.S. data center capacity to support opportunities in its commercial pipeline. The capacity provides a foundation for deployment planning.
What infrastructure ownership models does Smartbird plan to offer customers?
Smartbird describes two potential models: customers owning infrastructure that Smartbird designs and operates, or customers using a fully managed capacity model. The company expects commercial and financing structures to differ by customer.