Waldenwood helps businesses, public organizations, and delivery partners solve analytical problems that sit between strategy, data, and implementation.
Find and distill public evidence to map markets, competitors, programs, and the conditions that could change the answer.
Collect data from websites, documents, and public records, then reconcile messy inputs into a documented dataset.
Move from an ambiguous question to evidence, a clear recommendation, and the practical tool or workflow needed to act.
Extract, classify, and review information across large document collections, then automate repeatable analytical work.
Our strongest proof is not a presentation. It is a system we built, operate, and depend on ourselves.
01
Founder-operated case study
As cofounder, Brad helped build the public-data collection, enrichment, research automation, internal tools, and operating workflows used to turn incomplete market information into usable business decisions.
02
Representative assignment
Combined internal data, vector search, language models, a conversational interface, and citation-backed answers to improve strategic analysis for a global financial-services organization.
03
Representative assignment
Analyzed National Household Travel Survey data to identify demographic and travel behavior patterns, forecast vehicle sales, and translate the findings into strategic insights for a global automaker.
04
Representative assignment
Helped build the data infrastructure and analytical processes used to evaluate pricing and performance, support more than 30 market pilots, and turn the results into commercial decisions for a global automaker.
The best fit is a problem that matters, lacks a clean playbook, and needs someone who can move between executive questions and technical details.
Clarify a market, investment, product, operating, or competitive decision with sourced evidence and an explicit recommendation.
Replace fragmented research, spreadsheets, and manual document work with a reliable dataset or workflow.
Add founder-led analytical or technical capacity to a larger client engagement without adding a full permanent team.
Engagements are structured around a decision or operating outcome, not a predetermined technology. The work can end with an answer, a working system, or both.
Define the decision, constraints, evidence standard, and what would make the work useful before building anything.
Collect the evidence, structure the data, test assumptions, and create the smallest useful analytical product or workflow.
Deliver the recommendation, methods, sources, and working tools so your team can understand, challenge, and continue the work.
As a cofounder of Lazio Partners, Brad Johnson has built and operated a startup, turning ambiguous customer and operating problems into AI-supported research, data, and workflow systems. That founder experience sits alongside 20 years of professional experience, including eight years in corporate strategy at a global automaker, an MBA from the University of Michigan, and a BSEE from Michigan State University.
Waldenwood engagements are founder-led and scoped directly with the client. Task-specific specialists can be added when they materially improve the result.
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