Primer builds NLP transformer-based software for intelligence gathering and analysis, serving government and commercial customers including the U.S. Air Force, Army, USSOCOM, and Fortune 500 companies. Its Primer Command product is a real-time threat-detection platform that ingests more than 60,000 news and social media sources in 100 languages and produces AI-generated situation reports (the feature is described as in beta). In April the company launched Primer Delta, a platform that sorts and analyzes millions of documents, extracting entities, locations, topics, and generating summaries; a lighter version is available on the AWS Marketplace for 100–1,000 files. Primer says its software can be deployed on local machines or in the cloud. The company announced a new CEO, Sean Moriarty, and said the recent funding will help it deliver products "more, faster." Primer is described in the article as an eight-year-old startup focused on both commercial and government applications of AI. Primer provides an industrial-grade NLP platform that enables organizations to create structure and pull insights from vast amounts of data to support fast decision-making. The company recently commercially released Primer Automate, a no-code solution allowing users to build and train NLP models on their own data, and offers Primer Analyze, a scalable self-curating knowledge base that can analyze billions of documents in seconds. Its NLP technology reads and writes in English, Russian, Chinese and Arabic and is deployed by large government agencies, financial institutions, and Fortune 50 companies. Primer announced integrations to make its platform available natively within Microsoft Azure and a partnership with Palantir to deploy operational AI to U.S. government missions. The company intends to use the new funding to expand operations, ramp recruiting in the U.S. and globally, and broaden its business reach. It plans initial new offices in London and Singapore and further expansion across Europe and Asia. Primer builds machines that can read and write, automating the analysis of very large datasets via a core set of modular computational engines. Its engines process diverse document types across multiple languages to extract information, identify key insights, perform analysis at scale, and generate output as human-readable text and graphics. The company has a team of 60 and its technology is deployed by large government agencies, financial institutions, and Fortune 50 companies. Primer has built products on top of its modular architecture, allowing for continuous development on its analytic pipeline. The company intends to use new funding to expand its team, broaden language capabilities, enter new verticals, and grow its presence in Washington, D.C. and New York. The company is led by CEO and founder Sean Gourley. Primer develops machine-learning software that ingests large volumes of unstructured data and summarizes and contextualizes information for governments, corporations and financial institutions. Its platform uses a mixture of supervised and unsupervised models to extract insights and organize web coverage into key themes. The product is positioned to augment low-level analyst work—particularly in the intelligence community and at large banks—by semiautonomously monitoring information and speeding research gathering and presentation. Primer has also adapted the platform as Primer Science to monitor academic paper releases, identifying key papers on ArXiv and contextualizing them with social media and news. The company hopes to eventually support prediction-making by identifying statistical correlations between events, which it says will require strong human–technology collaboration. Financially, Primer has collected $14.7 million across Seed and Series A investment rounds, has a team of 36 employees, and has closed initial customers including In-Q-Tel, Walmart and Singapore’s sovereign wealth fund. The team has spent two and a half years on R&D under founder and CEO Sean Gourley.

Total raised

$234M

Funding rounds

4

Latest round

Series D

Latest activity

Jun 2023