Overview

AllMind is an AI-native terminal designed for modern institutional investors, powering in-depth equity research from initial screening to investment committee presentations. The platform integrates over 6,800 premium data sources from more than 100 providers, alongside a firm's proprietary structured and unstructured data. This extensive data is unified through a continuously evolving financial ontology, which maps relationships across trillions of data points, providing AI with a connected layer to understand market dynamics.

AllMind OS Layers

The AllMind OS operates through six distinct layers:

  • Data Engine: Aggregates diverse sources including SEC filings, exchange feeds, broker research, and alternative data.
  • Ontology & Relationships: Connects disparate data points through a continuously evolving market map.
  • Research Engine: Facilitates complex queries, routing requests to appropriate data and finance-tuned AI models for tasks like price checks or diligence.
  • AI Agents: Automate tasks such as drafting memos, financial models, and earnings notes in a firm's specific format, and can monitor watchlists.
  • Permissions & Audit: Ensures entitlements follow the user, logging every question and export, while preventing user data from training models.
  • Governed Workspace: Unifies chat, reports, grids, and data rooms into a single environment, ensuring work is traceable and sources remain attached.

This system allows users to ask questions in plain language and receive answers traceable to their original documents, enhancing the efficiency and defensibility of investment conviction.

Key features

  • Integrates 6,800+ premium data sources
  • Financial ontology for data relationships
  • AI agents for drafting financial documents
  • Governed workspace for collaboration
  • Permissions and audit trails
  • Traceable research with source citations
  • Customizable workflows and templates
  • Global market coverage across 18 markets

Who uses it

Institutional investors, including asset managers, hedge funds, sell-side research desks, and investor relations teams, utilize AllMind for comprehensive equity research.

Pros

  • Integrates 6,800+ premium data sources with internal firm data for comprehensive analysis.
  • AI agents automate drafting of memos, models, and earnings notes in firm-specific formats.
  • Research output is traceable to original documents with visible calculations and citations.
  • Offers enterprise-grade security with SOC 2 Type II compliance and no user data training.
  • Provides customizable workflows and templates to encode and standardize research processes.

Cons

  • Pricing is custom and requires direct contact, lacking transparent public pricing information.
  • Currently covers 18 markets across North America and Europe, with limited global reach.
  • AI-generated research still requires analyst review for material figures and investment conclusions.
  • No free tier or public trial option is available for individual exploration.

Our take

AllMind provides a specialized AI-native terminal for institutional equity research, streamlining complex financial analysis by integrating vast data sources and automating document generation within a secure, governed environment.

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