Primer

Primer, also known as Primer.ai, is a San Francisco-based company developing artificial intelligence (AI) to analyze collected information and generate written reports. The company aims to help companies understand large datasets in multiple languages through the use of AI. The Primer platform uses machine learning and natural language processing to build systems capable of reading documents, developing insights, and generating automated reports similar to those produced by human analysts. Primer's capabilities scale from off-the-shelf applications for on-premise deployments, trained on custom models against customer data sets. Primer was established by Sean Gourley in 2015.

Primer’s AI comprises six engines—structure, ensemble, event, context, difference, and story—each functioning as the building blocks to generating a comprehensive report. The engines work together to extract and classify data, construct sentences based on classified data, cross-reference generated information with relevant sources, differentiate between factual and biased sources, and analyze reports generated in several languages to decrease possible misinformation due to linguistic differences. Primer’s products are intended for use by corporations and governments.

The Primer platform and its related services are built on several pre-trained engines that are developed to be performant, scalable, and fast, with plug-and-play APIs for ease and speed of integration with other applications and workflows. These can be deployed in the cloud or on-premise, based on business needs. The engines also allow users to customize them based on an organization's data and workflow needs. These engines are developed for use cases in various industry verticals, including the following:

• Named entity recognition
• Coreference resolution
• Relation extraction
• Classifiers
• Sentiment analysis
• Topic modeling
• Summarization
• Key phrase extraction
• Explainability
• Synthetic text detection
• Claims detection and dispute resolution
• Jargon detection and explanation
• Quotes attribution
• Title generation
• Question answering
• DIMEFIL
• Location extraction
• Named entity linking
• Custom entity detection
• Difference engine
• Event detection
• Event linking

The Primer's platform, LightTag, allows users to label data, review models, and help users ensure model quality and increase the productivity of data science teams through raw data labeling and annotation management tools.

Primer's Brand and Reputation Management solution provides marketing and PR teams with a view of a given brand in the global marketplace. The solution includes AI for social listening and analytics capabilities to separate signal from noise-to-surface insights and help teams market, identify risk, plan activities, and protect a brand's reputation. This includes analysis of public sentiment with situational awareness based on an analysis of news and social media feeds in real time and surfacing key people, locations, and organizations, delivered to users to make the sentiment analysis actionable. And part of this analysis, paired with customer feedback analysis, can help marketing, PR, and product teams understand how users interact with products and how these products and services are perceived and used over time.

Primer offers their Command solution to corporations and others for their security, including helping security teams monitor, identify, and mitigate events like natural disasters, geo-political incidents, and other security incidents and threats. Presented on a single dashboard from which all locations can be monitored, Command provides security teams with simplified operational workflows to help them analyze trends and understand the undercurrents of those trends. The solution helps teams respond to fast-breaking events globally, using natural language processing to analyze events in near-real time. It is further developed to help analysts, operators, and decision-makers automate workflows and allow individuals to focus on strategic priorities while supporting decision-making.

Primer's Analyze offers users a structured layer of intelligence on top of data to create a scalable, self-curating knowledge base that can analyze documents in seconds to give users answers to questions and monitor updates while generating easy-to-read reports. This solution is designed to identify and visualize patterns, relationships, and changes in data and target environments as they occur while providing a structured search function to give users targeted insights. The Analyze solution also includes a dispute model to help users identify disinformation spread by media or through conversations on social media.

Primer's Yonder tools help public sector and commercial organizations combat information operations before they can shape beliefs and behaviors. This includes providing contextual intelligence and identifies coordinated campaigns early to help with decision support and help users find communities aligned with their values. Further, the Yonder tool works to determine who drives specific narratives, such as which online subcultures influence mainstream opinion, and discovers audience segments offering potential sources of adversarial and aligned narratives to give greater insights into narrative intelligence. The tool can also provide users with early signs of coordinated and manipulated activities, allowing users to act before these topics go viral.