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Generates buyer personas and ideal customer profiles from market signals, with structured attributes for targeting and messaging.

Sources candidates from conferences, open-source contributions, patents, and academia for technical hiring pipelines.

Answers ad-hoc research questions with sourced evidence. A lighter, single-pass sibling of the Deep Research Agent for quick factual lookups.

Runs multi-agent market-dynamics and swarm simulations over a stated hypothesis with persona generation and step-by-step world-state updates.

Enriches an organization profile with funding, headquarters, headcount, and product signals from cited public sources.

Tracks competitor funding, team, and product changes from cited web evidence with URL-backed update guardrails.

Discovers and scores grant and funder matches for a company profile across federal, state, and international programs including SBIR, NIH, NSF, and CORDIS.

Produces TAM, SAM, and SOM estimates using bottom-up, top-down, and comparable-company methods with fact, estimate, and forecast tags plus red-team challenge.

Autonomous, citation-grounded iterative research loop with self-scoring on novelty, actionability, and evidence quality.