Real Case Studies
That Delivered Impact
Four transformative projects that showcase our expertise in data aggregation, AI automation, and intelligent systems that solve complex business challenges.
Featured Case Studies
Real-world challenges solved through innovative data solutions and intelligent automation.
*Certain details have been generalized for client confidentiality.
Mapping Health Resources Nationwide
The Challenge
A public health nonprofit needed real-time visibility into health resource availability across the United States, but data was fragmented across thousands of websites, government databases, and outdated directories. They wanted to understand where communities were underserved across hospitals, groceries, pharmacies, clinics, and food banks.
Our Solution
We built a custom data aggregation system that continuously collects, cleans, and organizes information from dozens of public and private sources, tracking hospitals, pharmacies, food banks, and mental health services - all normalized into a unified, searchable format.
Automated workflows pull from APIs, scrape web content, and automatically discover new sources. Data is refreshed daily, geotagged, and available via secure API and visual dashboard.
The Result
Within months, our client had a live, dynamic map of health and wellness access across the U.S. for identifying care deserts, prioritizing funding, and informing policy recommendations.
"By automating the aggregation of hard-to-find resource data, we helped them focus on impact instead of infrastructure."
Intelligent Proposal Generation
The Challenge
A digital strategy consulting group was spending significant time researching and developing insights for every new client proposal. Every pitch required investigation into a company's website, press releases, product offerings, and marketing channels, eating up time that could be spent on client deliverables.
Our Solution
We built a custom proposal automation engine that automatically pulls publicly available data (website content, news, social media, SEO performance) and generates first-draft proposals with company overviews, strategic observations, service recommendations, and pricing suggestions.
The strategy team can then refine insights and personalize messaging, skipping repetitive research and formatting.
The Result
Proposals go out faster with more relevant insights and far less team burnout. Consultants now spend more time thinking creatively and less time compiling basic data.
"This system turned proposal creation from a bottleneck into a growth lever, freeing up time to generate revenue, not documents."
Private Equity Lead Discovery System
The Challenge
A private equity firm executing a roll-up strategy needed to identify smaller moving companies across the Southeast that met specific acquisition criteria. Traditional platforms like ZoomInfo and Apollo completely missed these targets or lacked critical details like employment type, asset ownership, and fleet size. Manual research was taking weeks per region.
Our Solution
We built a proprietary intelligence system that discovers companies through state DOT databases, business directories, and social media, then uses our agentic reasoning framework to parse unstructured data and infer key business attributes.
The system includes recursive research that automatically follows leads until verified data is found. Every finding is backed by source citations, eliminating AI hallucinations and ensuring complete traceability for deal teams.
The Result
The firm identified 350+ qualified, vetted acquisition targets that traditional databases missed entirely. Research time dropped from weeks to minutes, with every insight backed by verifiable sources.
"By surfacing hard-to-find companies with verified intelligence, we gave them first-mover advantage on the highest-quality targets in their market."
Intelligent Excel Extension for Investment Analysis
The Challenge
An investment firm needed to compile detailed operating and compensation data across hundreds of portfolio companies and their subsidiaries for due diligence and performance monitoring. Analysts were manually researching each company, struggling to accurately match parent companies with subsidiaries, and spending hours copying data between sources and combining information across multiple spreadsheets.
Our Solution
We built a proprietary Excel extension powered by our agentic reasoning framework that brings intelligent research and data aggregation directly into the analyst's workflow. The system automatically conducts web research on target companies, accurately matches subsidiaries to parent organizations, and combines operating metrics with compensation data.
Analysts simply inputs the companies, and the extension handles discovery, matching, and data population automatically. The system intelligently combines data across sheets, reconciling overlapping information and maintaining data integrity while working within the familiar Excel environment.
The Result
What previously took analysts 40 hours of manual research and data entry now completes in 30 minutes. Data accuracy improved as the system discovered subsidiaries and company relationships that analysts had previously missed. Investment teams now spend less time on data gathering and more time on high-value analysis.
"By embedding intelligent research directly into Excel, we eliminated the constant context-switching between research and analysis, turning a tedious manual process into a seamless workflow."
Technologies We Master
Cutting-edge technologies powering our successful projects
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Backend
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