InsightPager was founded in 2018 to build an autonomous, truth-seeking discovery fabric for long-horizon research and innovation. As the volume of papers, patents, standards, and datasets continues to grow, the limiting factor is increasingly trusted synthesis—finding the right evidence early, connecting it across sources, and making it auditable for real decisions. InsightPager was created to address this need, focusing on the foundational science of agentic retrieval, verification, and reasoning at scale.

Today, we develop frameworks for continuous literature and prior-art discovery, citation and family graph traversal, claim-to-evidence alignment, novelty mapping, and long-horizon monitoring of emerging technical clusters. By linking raw technical documents to structured, temporally grounded knowledge, we enable fast, defensible research workflows that improve as the record grows.

While our current focus is fundamental R&D, we are designing commercialization pathways. As these systems mature, we intend to transition from research prototypes to deployable platforms that deliver decision-grade, traceable outputs for R&D and innovation strategy. InsightPager’s long-term vision is to turn the global technical record into an auditable, continuously updated operating layer for better decisions.