Transform months of investment research into hours of actionable intelligence. Our breakthrough agentic-swarm architecture continuously scans global markets, identifies emerging opportunities, and delivers investment-ready analysis through coordinated AI agents.
Five specialized AI agents work in coordination to mirror and enhance your investment workflow, from idea generation to Investment Committee handoff.
Continuously scans global data sources including news feeds, patent databases, and social media trends to identify emerging investment themes and opportunities.
Emerging themes with rationale • Novelty scoring • Coverage analysis
Develops comprehensive investment theses around identified themes, analyzing market dynamics, economic drivers, and competitive landscapes through deep research.
Investment thesis briefs • Market sizing • Risk analysis • Company shortlists
Filters and scores potential targets using weak-signal detection, funding data, hiring trends, and ESG criteria to create high-potential watch lists.
Scored watch lists • Signal strength analysis • ESG risk profiles • Anomaly detection
Conducts comprehensive analysis including financial modeling, risk assessment, and valuation scenarios using integrated Aladdin analytics and ESG data.
Investment memos • Financial projections • Risk scenarios • ESG compliance checks
Prepares Investment Committee packages with summarized recommendations, portfolio impact analysis, and all supporting documentation for decision-making.
IC presentation decks • Portfolio fit analysis • Decision recommendations • Feedback loops
Five specialized agents working in coordination, each with distinct capabilities and success metrics, supervised by our central coordination system.
Idea Generation Agent
Continuously monitors global news feeds, patent databases, and social media to identify emerging investment themes. Uses advanced NLP to cluster topics and detect early-stage opportunities before they become mainstream.
Thematic Research Agent
Develops comprehensive investment theses around selected themes, analyzing market dynamics, benchmark performance, and economic drivers. Integrates academic research and industry data for deep thematic understanding.
Pre-Screening Agent
Filters potential targets using funding databases, hiring trends, and partnership announcements. Applies ESG criteria and risk analytics to create scored watch lists of high-potential investment opportunities.
Deep Diligence Agent
Conducts comprehensive investment analysis including financial modeling, risk assessment using Aladdin scenarios, and ESG compliance checks. Produces investment-ready memos with valuation ranges and recommendations.
Investment Committee Agent
Prepares Investment Committee packages with top opportunities, portfolio context, and risk analysis. Manages IC scheduling, presentation formatting, and feedback collection for continuous learning.
Our agents monitor diverse data sources to detect early indicators of high-potential opportunities before they become obvious to the market.
Monitors PitchBook and Preqin databases for private funding rounds ≥$5M, identifying startups gaining traction through capital infusions and investor confidence signals.
Scans USPTO and EPO patent filings related to AI innovations, especially in healthcare and finance, signaling emerging technologies before market products launch.
Tracks key talent moves and hiring spikes through LinkedIn and job posting data, identifying companies scaling operations or attracting top-tier professionals.
Monitors AI performance leaderboards and academic benchmarks to identify startups achieving state-of-the-art results in relevant domains.
Detects partnership announcements and pilot programs with major institutions, validating product-market fit and customer traction evidence.
Tracks regulatory approvals and government contracts, including FDA clearances and procurement awards that de-risk technologies and open markets.
Our agentic-swarm architecture delivers quantifiable improvements in research speed, accuracy, and coverage compared to traditional methods.
Compress months of manual research into hours of autonomous analysis through coordinated agent workflows.
Improve precision-at-top-N through multi-signal scoring and continuous feedback calibration from IC outcomes.
Monitor 100% of relevant opportunity sets across multiple geographies and sectors simultaneously.
Improve accuracy over time through feedback loops and outcome-based calibration of signal scoring models.
See how Scarlet 2.0's agentic-swarm architecture can transform your investment research workflow with measurable speed and accuracy improvements.
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