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AlphaLupe.ai

Alphalupe.ai provides an institutional-grade systematic investing platform that transforms structured, unstructured, and alternative data into explainable, transparent portfolios. The engine captures data every 15 minutes, builds a temporal knowledge graph encoding cause and context, and delivers risk-adjusted, Markowitz-style optimized portfolios. Users can interrogate any investment call in plain language and receive reasoning grounded in the system's research set.

London, United Kingdom · HQ
350+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Financial Technology
  • Software Only
Updated 2 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Investment decisions often rely on opaque, black-box models that provide little to no explanation for their recommendations, making it difficult for investors to trust or validate the reasoning behind portfolio choices. Traditional systematic strategies also struggle to integrate diverse data types and capture the causal relationships that drive market movements, limiting their signal quality and adaptability.

Solution

Alphalupe.ai offers a foundational knowledge engine that captures structured, unstructured, and alternative data every 15 minutes, encoding it into a temporal knowledge graph that maps how everything relates. This graph goes beyond past price patterns by incorporating cause and context, producing investment calls with clear reasoning attached to each recommendation. A risk-adjusted, Markowitz-style optimization layer transforms these insights into daily portfolios. Users can interrogate any call in plain language, receiving answers drawn from the research set, ensuring human oversight and transparency remain central to the process.

Target Audience

Alphalupe.ai serves institutional investors, asset managers, and multi-asset portfolio teams seeking systematic investment strategies with full transparency and human oversight.

Features

  • Temporal knowledge graph that encodes cause and context across structured, unstructured, and alternative data sources
  • Data ingestion pipeline capturing information every 15 minutes for up-to-date market signals
  • Markowitz-style portfolio optimization that balances risk and return for daily portfolio construction
  • Natural language interrogation system allowing users to question any investment call directly in plain language
  • Transparent reasoning attached to each call, eliminating black-box decision-making
This profile is AI-generated and may contain inaccuracies.