Penlink, a leader in AI-powered digital intelligence, and Chainalysis, the blockchain data platform, this week announced a strategic partnership and technical integration that brings Chainalysis blockchain intelligence directly into the Penlink platform.The integration enables law enforcement, national security, intelligence, and enterprise investigation teams to analyze cryptocurrency activity within the investigative environment they already use. Joint customers can now submit wallet addresses via their Chainalysis API key to enhance OSINT blockchain analysis with vetted evidence source attribution and risk insights, surfacing entity attribution and transaction context, and pivot seamlessly into Chainalysis Reactor for deeper on-chain tracing.The result is a complete investigative picture: on-chain activity correlated with open-source intelligence, communications, geolocation, and identity data in a single workflow.Built in response to customer demand“Investigative teams are already using our digital intelligence platform and Chainalysis side by side.” said Peter Weber, CEO, Penlink. “By connecting them, we are eliminating the manual steps between, so analysts can produce actionable intelligence in minutes. This partnership is built to support investigators with their most critical missions.”“Blockchain evidence rarely lives in isolation. The strongest cases connect on-chain activity to real-world context,” said Erin Regen, CRO, Chainalysis Government Solutions. “Bringing Chainalysis data into Penlink puts trusted blockchain intelligence directly into the hands of investigators.”What the integration delivers
Penlink Plugs Into Trusted Blockchain Data With Chainalysis - Chainalysis
Integration brings Chainalysis blockchain intelligence into Penlink’s platform, connecting on-chain activity to identities, communications, and locations.
Penlink integrates Chainalysis blockchain data, letting investigators analyze crypto activity and OSINT in one platform without switching tools. For enterprise compliance teams, unified on-chain and real-world data reduces analysis time and strengthens investigation workflows.







