Case Studies

Receipts.

Engagements where we shipped production AI systems and the customers said yes to a public mention. Filter by industry or use case.

Industry
Use case
MDClone logo
Generative AI for HealthTech

Conversational Clinical Analytics

Clinical researchers often face a technical barrier: extracting complex insights without coding skills. MDClone required a solution that balanced accessibility with unyielding HIPAA compliance. We engineered a secure GenAI agent that translates natural language into rigorous statistical analysis, delivering a fully compliant MVP in just three months.

HealthTechSemantic searchDocument intelligence
Versatile logo
Smart Construction AI

Optimizing Construction Operations

Cranes are the heartbeat of any construction site, yet accurately attributing their usage to specific subcontractors is notoriously difficult. We developed a machine learning engine that analyzes sensor patterns — from load type to altitude — to automatically identify task performers, bringing unprecedented clarity to resource management.

ConstructionComputer vision
Panaya logo
Accelerated AI Deployment

Production-Ready AI in Weeks

Complex technical documentation often creates friction for enterprise users. Panaya sought to bridge this gap with an intuitive, conversational interface. Leveraging our advanced RAG framework, we engineered and deployed "SeeMore" — a fully integrated, production-grade AI agent — in just three weeks, drastically shortening time-to-market.

SoftwareDocument intelligence
Wenrix logo
Enterprise GenAI Solutions

Unifying Knowledge at Scale

Faced with fragmented internal data scattered across disparate platforms, Wenrix struggled with efficient information retrieval. We deployed Amazon Q Business to orchestrate a seamless, secure knowledge hub — optimizing indexing costs by 90% and transforming how their teams access critical intelligence.

Cross-industrySemantic search
OneBeat logo
Retail AI & MLOps

Precision Sales Forecasting

Promotions can make or break retail profitability, yet accurately predicting their impact on inventory is notoriously difficult. OneBeat partnered with TensorOps to build an advanced ML forecasting engine. By analyzing pricing elasticity and handling skewed data, we optimized stock levels for promotional peaks.

RetailMLOps