Reflexivity AI Investment Analysis Platform
avaldaja Knabble Inc.
AI-powered deep research for institutional investors. Code-backed, auditable, instant.
Engineered for capital markets, Alfred is Reflexivity’s AI Agent, able to answer the questions institutional investors are already asking, and surface the ones they should be at the speed of the market.
- Analyze a company, test a hypothesis, or optimize a portfolio in minutes, not days.
- Trace the downstream impact of corporate actions, sector shifts, and macro catalysts across related companies and supply chains.
- Detect emerging signals across news, filings, price action, and data shifts, and surface them before users think to ask.
- Deploy custom investment workflows.
How Alfred Works
Alfred is powered by Reflexivity's continuously-updated Knowledge Graph covering 6,480 companies across 47 global markets, with 895,000+ relationship edges mapping themes, products, geography, and competitive dynamics. This enables Alfred to surface non-obvious connections and second-order impacts that general-purpose AI cannot.
Alfred operates as a reasoning engine, not a chatbot. When a user submits a query, Alfred executes a multi-step analytical pipeline: it plans the research approach, resolves entities across data providers, writes and executes Python code against live data, and iteratively refines its analysis until reaching a complete answer. The result is a fully auditable research output where every number traces back to its source.
Insights are delivered to users in two ways:
- Real-time insight alerts when emerging patterns or events may impact their coverage universe. When something moves, Reflexivity identifies what else is affected before the user thinks to ask.
- User-prompted investment analyses. Complex financial questions and hypothesis testing are met with institutional-grade accuracy and full transparency into the underlying data in minutes, a process that traditionally takes days.
What Makes Alfred Different
Institutional-grade accuracy: Every answer is code-first - executable code run against raw data from trusted providers, not LLM-generated prose. Outputs are auditable, reproducible, and traceable to source documents.
Entity resolution across providers: Reflexivity has spent six years building canonical entity mappings across every major institutional data feed, ensuring that queries resolve correctly regardless of which provider or symbology a user references.
Structured user model: Alfred learns each user's methodological preferences, instrument universe, and analytical standards. The twentieth conversation is dramatically better than the first.
Enterprise-Ready
Alfred is designed for secure, compliant deployment within enterprise environments, with flexible deployment options across on-premises, hybrid, or cloud infrastructures. It integrates natively with client systems, delivering AI-powered research capabilities directly within the tools institutional teams already use.
The platform supports configurable governance controls at the infrastructure, institution, and user levels, meeting the stringent compliance and security requirements of top-tier financial institutions. Alfred can be delivered via API, white-label solutions, or through the standard Reflexivity platform, providing maximum flexibility to align with client workflows and distribution preferences.
Trusted by leading global institutions - including major banks, asset managers, and hedge funds - Alfred delivers the analytical depth of a senior research analyst with the speed and scale of AI.
Continue the Conversation
Reach out to learn more or request a live platform demo at partnerships@reflexivity.com.