Case Studies
Real-world examples of AI integration delivering measurable results for private sector clients. Each case study details the problem, solution architecture, and quantified outcomes.
Lot Lingo: AI-Powered Auction Workflow Platform
Auction houses face a recurring administrative burden every time they prepare an auction: researching items, writing titles and descriptions, categorizing lots, assigning taxability and shippability, organizing photos, and preparing platform-specific exports. For high-volume auction businesses, this work creates a major bottleneck that limits how many auctions can be run and which lower-value items are economically worth listing.
Multi-Modal AI Processing Platform
Manual processing of visual content, product data, and document categorization created significant bottlenecks. Teams spent hours manually reviewing images, classifying products, conducting research, and organizing data across multiple systems. The workflow was error-prone and couldn't scale.
Intelligent Application Control Chatbot
Users struggled to navigate complex application features, required extensive onboarding, and often couldn't find or use capabilities that would solve their problems. Support costs were high, and user adoption of advanced features was low.
Our AI Experience
2+ years building profitable, production applications with integrated AI capabilities.
Image analysis integrated into business workflows—inventory counts, quality inspection, document capture.
OCR and intelligent extraction turning paper and PDFs into structured, actionable data.
Speech-to-text with domain vocabulary enabling hands-free documentation and reporting.