Most industry data is public. Almost none of it is usable.
The information about most record-heavy industries already exists in the open. Regulatory filings. Public registries. Branch and location records. Ownership and transaction events. Market signals. But the raw form is unusable for daily research — fragmented across agencies, in inconsistent formats, with no shared entity model, no time-series continuity, no peer grouping. The work most analysts do is reconstructing the same dataset over and over from raw inputs.
Sloe Data builds the dataset once and ships it as a research terminal — modeled per industry, structured for repeatable workflows, indexed and joined and peer-grouped and time-series-ready. What professionals build research workflows on, not the raw bytes that need months of cleanup before you can ask a question.
One vertical at a time.
Each industry is its own model. Credit unions don't share an entity shape with banks; banks don't share with hospitals; hospitals don't share with school districts. The pipeline is portable — the ingest, the entity modeling, the peer grouping, the time-series structure — but each vertical is built deliberately, not as a generic data lake.
Credit Unions is live, shipped as CU Wire Data: every federally insured institution, ten years of quarterly history, peer benchmarking, mergers, CUSOs, vendors, lending data, and a 22-equity market index.
The broader Sloe pipeline is built and available: source-backed datasets across healthcare, government contracting, environmental, religious and nonprofit, municipal, insurance, energy, broadband, and bank data — every record carrying its source trail and resolved identifiers, with higher education feeding in as enrichment.
Banks is the deepest of those lanes outside credit unions: charters, FDIC certificates, branch networks, Summary of Deposits records, financial snapshots, and structure events — modeled around the bank entity.
Sloe Data is one person, deliberately.
I'm the CEO and Founder of CU WealthNext and the Founder of The Credit Union Wire. I spend a lot of time breaking down how businesses and financial systems actually work — usually by looking at incentives, funding models, and the second-order effects most people miss.
My work is rooted in credit unions and fintech, but the lens is broader: strategy, markets, consumer behavior, and why institutions make the decisions they do.
Sloe Data is what comes out of that lens applied to public-record data: messes nobody else has bothered to clean, structured into research-grade datasets, one industry at a time. The credit-union vertical exists in v1 form because the domain knowledge was already there. The other ten lanes exist because the pipeline turned out to be portable.
Where Sloe Data actually sits.
Funders and partners doing diligence look here, so the honest version:
- Operating entity
- The Credit Union Wire LLC (Michigan limited liability company)
- Brand
- Sloe Data — parent brand. Credit Unions ships as CU Wire Data, self-serve; the broader lanes are available as source-backed datasets via data-access request.
- Domain
- sloedata.com (parent brand). cuwiredata.com (the live credit-union product). thecreditunionwire.com (editorial publication under the credit-union product).
- Status
- Credit Unions live as CU Wire Data, self-serve. Ten more source-backed public-data lanes available via data-access request. Solo operator. For-profit. No outside funding.
- Editorial wall
- Editorial work on The Credit Union Wire follows published editorial standards: no vendor sponsorship of coverage, no paid editorial placement, no influence in exchange for data revenue.
Eleven lanes. Built and available.
The pipeline isn't credit-union specific, and it isn't bank specific. Sloe Data is building toward an eleven-lane platform across record-heavy industries — financial institutions, healthcare, religious and nonprofit institutions, government contracting, environmental facilities, energy and utilities, and more, with higher education running underneath as a cross-lane enrichment layer. Each lane has its own entity model, its own source spine, and its own canonical identifiers. The discipline is shared.
Self-serve today. Credit Unions, in the US and Canada. Shipped as CU Wire Data.
Available now. Ten more lanes are built as source-backed, evidence-backed datasets — get access for analysis, custom cuts, or bulk export.
- Banks — FDIC certificates, branch networks, Summary of Deposits, financial snapshots, structure events. Deepest of the lanes outside credit unions.
- Healthcare providers & facilities — CMS ownership and Care Compare, NPPES/NPI, Open Payments, hospital quality, payment, and nursing-home penalty records.
- Religious & nonprofit institutions — IRS 990 and exempt-organization filings, state charity registries, denominational directories, affiliated property and schools. Institutional intelligence only; guardrails published.
- Government contractors & grant recipients — USAspending, SAM.gov, FPDS award records, UEI/CAGE resolution.
- Environmental & regulated facilities — EPA FRS/ECHO, TRI releases, eGRID emissions, permits and violations.
Also available. Energy & utilities · Insurance regulatory filings · Broadband & telecom infrastructure · Municipal finance & procurement. Higher education runs underneath as an enrichment layer — IPEDS, College Scorecard, and DAPIP identifiers resolve nonprofit, religious, healthcare, grants, and govcon records rather than shipping as a standalone product.
If you work in one of these lanes — or your industry isn't on the list and probably should be — tell us which data you need and how you'd use it, and we'll get you access.
Get in touch.
General: josh@thecreditunionwire.com
Press, partnerships, and editorial inquiries on the credit-union side: josh@thecreditunionwire.com
Data access and bulk-export requests live on the product pages — Credit Unions and Banks.