Primer

Primer builds AI that reads massive volumes of text and turns it into structured intelligence for analysts and decision-makers.

Overview

Primer specializes in natural-language understanding at scale: its platforms extract entities, events and relationships from news, reports and intelligence streams, then surface emerging narratives and anomalies humans would miss.

Serving government and commercial customers in intelligence, defense and financial risk, Primer focuses on machine-generated summaries, entity resolution and narrative detection. In a world where the volume of open-source text is unmanageable manually, it provides an analytical layer that keeps human attention on judgment.

Analysts confronting millions of documents face an attention problem more than a data problem: extraction, summarization and change detection must happen at machine scale so human judgment focuses on implications. Primer’s NLP pipeline identifies entities, events and relationships across languages, resolves them into coherent records and surfaces emerging narratives that merit attention. Deployments in intelligence, defense and financial risk reflect customers where provenance matters — every extracted claim traces back to source text. Customizable models adapt to domain vocabularies and classification requirements. In the era of generative AI, Primer’s emphasis on scale-oriented extraction and traceability remains a distinct position: infrastructure for analysis rather than conversation.

Traceability back to source text is what makes extracted claims usable in consequential analysis, and customization lets models adapt to domain vocabularies that general-purpose systems handle poorly.

Intelligence and research tools in this category are valued for provenance and scale: extracted claims must trace back to sources, and coverage must be broad enough that analysts do not miss the signal that matters.

Key Features

• Large-scale text analysis and entity extraction
• Narrative and event detection across information streams
• Machine-generated summaries for analysts
• Entity resolution across documents and languages
• Deployments in intelligence, defense and financial risk
• Customizable models for domain-specific analysis

Pricing

Primer is deployed through enterprise and government agreements scoped to use cases and data scale.

Who Is It For

Intelligence, defense and risk teams that must process unmanageable volumes of open-source text. Also fits open-source intelligence teams processing multilingual text collections under strict provenance requirements, and to risk functions monitoring narratives that affect markets or operations.

FAQ

Is Primer free to use?

No self-serve tier; engagements are enterprise and government deployments.

Does Primer offer an API?

Yes — Primer provides platform APIs and deployment options for integration into analyst workflows.

How does Primer compare to alternatives?

Compared with general LLM tools, Primer offers scale-oriented extraction and provenance, trading conversational convenience for analytical rigor.