Grist Mill и Raven объединились для ускорения превращения коммерческих данных в готовую разведывательную информацию

Grist Mill and Raven Intelligence Platform have partnered to accelerate the path from commercial data requirement to mission-ready intelligence. Grist Mill is a Commercial Data Infrastructure and Raven Intelligence Platform is a sovereign intelligence and AI platform which is Australian-built and the company is headquartered in Canberra. Grist Mill's Commercial Data Infrastructure, according to the company, gives government teams one neutral foundation to discover, evaluate, license, acquire, and securely deliver data from more than 375 vetted vendors. Raven turns that data, alongside government, operational and other mission information, into a connected intelligence picture that analysts can understand, interrogate and act on. Raven has resolved fragmented records into the people, organisations, assets, locations, accounts, communications, transactions and events that matter; applies localised AI inside the customer environment; and uses predictive capability to surface patterns, emerging indicators and plausible future developments. "More data does not automatically lead to better intelligence. The real test is whether it sharpens the picture and helps mission teams make better decisions faster," CEO of Grist Mill, Jennifer Obernier, said. "By pairing Grist Mill's Commercial Data Infrastructure with Raven's ability to resolve entities, uncover relationships, and surface patterns and anomalies, we are giving government teams a more direct path from a data requirement to operational output. Work that once took months can now happen in days." Turning commercial data into operational intelligence requires both a reliable path to the right data and a way to analyse it alongside existing mission information. Grist Mill provides the infrastructure for evaluation, licensing, acquisition, and secure delivery, while Raven has combined the data with government, operational, and other mission information inside the customer's own environment. According to the companies, it can resolve fragmented records by connecting records to persistent entities such as people, organisations, assets, locations, accounts, transactions, communications, and events; analyse information in context by examining the same resolved data across network, timeline, geospatial, communications, financial, and document views; surface emerging indicators by applying localised AI and predictive capabilities to identify patterns, changing risk, anomalies, and plausible future developments for analyst assessment; and preserve the evidence by keeping provenance, reversible merges, analyst reasoning, and audit trails visible behind the analysis. "Raven was built around the intelligence problem itself: resolve what matters, connect the evidence, apply AI inside the sovereign boundary and preserve the provenance and human reasoning behind the outcome," Director of Raven Intelligence Platform, Laura Buckland, said. "The intelligence advantage is the ability to understand what is happening, see what is changing, anticipate what may happen next and put trusted intelligence in front of decision-makers while there is still time to influence the outcome." The combined capability can support missions that depend on connecting fragmented information from multiple sources, including all-source fusion, ISR, and indications and warning which include incorporate commercial, open-source, government, sensor, and mission data into ongoing analysis; and battlespace and operational understanding by connecting information about adversaries, terrain, infrastructure, populations, capabilities, and activity to support planning and force protection. The capability can also perform counterintelligence and networked threats by revealing relationships and coordinated activity associated with foreign interference, cyber threats, terrorism, illicit finance, and transnational crime; maritime and counterproliferation intelligence by connecting movements, ownership, logistics, actors, and events across complex networks; and economic security and the defence industrial base by examining ownership, supply-chain dependencies, concentration risk, and strategic vulnerabilities; and crisis intelligence and rapid assessment by integrating new information quickly as events and operational conditions change. Raven deploys inside customer-controlled infrastructure and is designed so operational data, AI processing and analytical workflows remain under the customer's control.