Who Is Val in Black Rabbit
Val is the founder and CEO of Black Rabbit, an AI-driven financial technology platform focused on automated portfolio intelligence and data-driven decision support for retail and institutional users. The platform combines machine learning models with real-time market data to generate signals, risk scores, and execution-ready insights across equities, fixed income, and digital assets Forbes.
Black Rabbit positions itself as a next-generation analytics layer that aggregates alternative data, order-flow metrics, and sentiment signals into unified dashboards, aiming to reduce research latency and improve signal-to-noise ratios for active traders and portfolio managers SEC EDGAR.
Black Rabbit Platform Features and Technology
Core AI Architecture
The platform uses ensemble models that blend time-series forecasting, natural-language processing of earnings transcripts, and graph-based relationship mapping between companies, sectors, and macro indicators. Val has described the stack as modular, allowing users to plug in proprietary data feeds or connect to broker APIs for automated order routing Forbes.
Data Sources and Integration
Black Rabbit ingests structured market data from exchanges, alternative datasets such as satellite imagery and credit-card transaction flows, and unstructured text from news wires and regulatory filings. The system normalizes these inputs into a common schema, enabling cross-asset correlation analysis and real-time alerting based on user-defined thresholds SEC EDGAR.
Funding, Growth, and Market Position
Black Rabbit has raised multiple funding rounds from venture capital firms specializing in fintech and AI, with the latest round valuing the company in the mid-hundreds of millions of dollars. The capital is directed toward expanding model coverage, latency optimization, and compliance infrastructure across multiple jurisdictions Forbes.
The platform competes in the AI analytics space alongside established data vendors and newer fintech startups, with a focus on transparency, explainable model outputs, and integration with existing execution management systems. Val has emphasized partnerships with regulated brokers and data providers to ensure that signals are actionable within compliant workflows SEC EDGAR.