SLM Software

SLM Software was hired by a solar panel company to develop a custom software solution to detect unusual patterns in their financial data. The team from SLM Software, consisting of 2-5 employees, built a complete anomaly detection framework from scratch, including data ingestion pipelines, backend architecture for real-time processing, and algorithms that flagged outlier behavior. They also developed a user-friendly dashboard for internal teams to monitor alerts and adjust parameters. The client was pleased with the results, as they were able to gain real-time insights into suspicious events and prevent potential issues.

A medical provider enlisted the services of SLM Software to manage the vast amount of unstructured data in their healthcare ecosystem. SLM Software's team of 2-5 employees designed a Natural Language Processing (NLP) engine capable of processing everything from Electronic Medical Records (EMRs) to intake forms and academic PDFs. The NLP engine identified relevant medical entities, detected relationships between them, and mapped these terms into a visual ontology. They also built a dashboard for the medical provider's team to search, explore connections, and export structured data. The client was satisfied with the results, as they were able to turn their unstructured data into usable insights.

SLM Software was commissioned by an art institute to develop a software solution and API to centralize and structure their operational data. The team from SLM Software, comprising of 2-5 employees, set up a full data ingestion and processing pipeline, connecting APIs from multiple sources and the institute's internal tools. They transformed this into a clean interface providing a real-time view of operational activities. Additionally, they created customizable alerts, reporting tools, and a permissions system for different teams. The client appreciated the results, as they were able to make sense of their growing volume of operational data and make informed decisions in real-time.