PowerlandMap and Eagle Alpha: Infrastructure Intelligence for Data Buyers
PowerlandMap welcomes Eagle Alpha to its distribution network, connecting data centre and AI infrastructure intelligence with institutional data buyers and investment funds.
PowerlandMap welcomes Eagle Alpha to its partner and distribution network. The collaboration connects our data centre and AI infrastructure intelligence with institutional data buyers and investment funds, with a commercial focus on North America and scope to reach buyers internationally.
Our main data centre dataset profile is now published on Eagle Alpha. This gives research teams another route to discover PowerlandMap, understand the scope of our intelligence and discuss an evaluation against their investment questions.

Connecting specialist research with data buyers
Eagle Alpha provides an alternative data discovery platform and advisory services for data buyers. Its audience includes investment funds, private equity firms, corporate teams and consultants looking for data that can inform their research.
PowerlandMap contributes the sector intelligence: data centre locations, development stages, capacity evidence, power infrastructure context and the factors that affect when a project can enter service.
The relationship brings these complementary roles together. Eagle Alpha helps buyers discover and evaluate relevant data offerings. PowerlandMap explains the coverage, methodology and practical uses of its research, and works with interested teams to define an appropriate scope.
The North America focus reflects a substantial part of Eagle Alpha’s audience. It is non-exclusive and does not limit the collaboration’s international reach.
Why infrastructure detail matters to investment research
A data centre announcement often combines several different claims: a campus ambition, a first phase, a grid request and a target opening date. Each can be relevant to an investment thesis, but each describes a different point in the development process.
A research team assessing future supply needs to understand what is operational, what is under construction and what remains conditional. A team studying electricity demand needs the capacity basis and expected timing. An analyst following cooling or electrical equipment needs to understand which projects have progressed far enough to support a credible procurement discussion.
PowerlandMap organises evidence around those questions. Records retain their source and date, while documented capacity and modelled estimates are distinguished. Coverage and evidence depth vary between records and markets, so those limits remain part of the analysis.
Three questions the collaboration can help buyers explore
Where is supply progressing?
Site and project intelligence can help research teams compare operational facilities with construction and development pipelines. The useful comparison includes geography, operator, phase, reported capacity and the evidence supporting the stated stage.
This supports market screening and follow-up research into project progress, changes in scope or potential delivery delays.
How does power affect the development case?
Electricity networks, generation infrastructure and documented connection milestones provide context for assessing a location. They help identify questions about grid access, network works and the sequence required to energise a project.
Physical proximity to electrical infrastructure does not establish available capacity. IT load, facility electrical demand and generation capacity remain separate measures. Keeping these distinctions visible helps buyers compare projects on a consistent basis.
Which economic assumptions need closer examination?
PowerlandMap’s wider research includes electricity-cost references, construction-cost intelligence and AI infrastructure analysis. These layers can inform market comparisons and help teams identify the assumptions that matter most to a project or portfolio.
Their use depends on the geography, date, customer profile and cost boundary. A market benchmark supports initial analysis. Project-specific tariffs, engineering costs and contractual terms still require their own evidence.
From discovery to a defined evaluation
For a buyer, the starting point is a research question: a market to compare, a development pipeline to examine, or an infrastructure theme to investigate.
The next step is to review the relevant PowerlandMap offering with its coverage, capacity definitions, sources, update practices and limitations. Evaluation scope, access and any permitted delivery or reuse are then agreed for the particular requirement.
The collaboration concerns dataset discovery and introductions. It does not confer unrestricted access to PowerlandMap’s database. Confidential mandates, client identities and protected demand information remain outside public announcements and product descriptions.
Explore PowerlandMap through Eagle Alpha
Institutional data buyers can contact Eagle Alpha about the PowerlandMap data centre offering, or contact PowerlandMap directly to discuss their research requirements.
We thank Sarah Morrissey, Thomas Lydon and the Eagle Alpha team for helping bring PowerlandMap’s infrastructure intelligence to a wider research audience.
View the PowerlandMap partner network · Visit Eagle Alpha · Review our methodology
About PowerlandMap
PowerlandMap provides market intelligence for data centres, power infrastructure and AI investment opportunities. It supports market research, site screening and development analysis through sourced records, defined capacity measures and explicit evidence limitations.
About Eagle Alpha
Eagle Alpha provides alternative data discovery and advisory services, connecting data buyers with data providers and supporting the evaluation of data for research use.
The data behind the analysis
Follow Partnerships with sourced, dated evidence
Qualified supply, anonymised demand and evidence-based matching sit behind each read — with the source, confidence level and verification date on every record
Related analysis
From Market Signal to Data Center Blueprint
PowerlandMap welcomes DCtoB as its first strategic technology partner, connecting data center market and power intelligence with conceptual design and engineering.
Why AI Data Center Capacity Needs a Confidence Score
A practical confidence score separates AI data-centre IT capacity, facility power, project maturity and annual energy before those figures enter a decision.
When an Energy Company Becomes a Compute Operator
Energy ownership can shorten the route to AI compute, but only site-level evidence shows whether power becomes an accepted service.
