PTFS builds content management and library service platforms primarily for federal government agencies, with a 29-year track record in the space. The tech stack is heavily containerized (Kubernetes, Docker, OpenShift) and search-heavy (Elasticsearch, Solr, Lucene), suggesting a mature engineering org managing complex document and geospatial data at scale. Hiring is engineering-focused (9 of 12 open roles) and skewed toward senior engineers, indicating they're scaling implementation and technical delivery rather than sales capacity — a pattern consistent with their government-services model.
PTFS operates two primary product lines: Knowvation, a browser-based content services platform for storing, searching, and managing diverse file types; and Bibliovation, an open-source library service platform built on relational databases. Beyond software, PTFS offers digitization services, systems integration, and professional support to hundreds of federal, commercial, academic, and association clients. The company is GSA Schedule–listed and SBA-certified, with LibLime as a dedicated division focused on library platform implementations. Active projects center on OpenShift deployments, data migration, FedRAM certification maintenance, and post-sale customer transitions.
Java, Spring Boot, PostgreSQL, Elasticsearch/Solr/Lucene, RabbitMQ, Redis, Kubernetes, Docker, and OpenShift. The platform runs on Red Hat Enterprise Linux and CentOS with monitoring via Prometheus and Grafana.
Core projects include OpenShift deployments to new customer sites, data migration and reconciliation work, FedRAM certification maintenance, and post-sale transition support. Pre-sales activities include technical proposal writing and solution architecture.
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PTFS's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.