Built behind
the surface.
Designed to move
what comes next.

Building data-driven systems for intelligent decision making.

Index  /  Initiatives

What we're building

Three related projects at different stages of development, each focused on the path from source data to useful decisions.

  1. 01

    Diagest

    Raw data in. AI-ready data out.

    Pulls from S3, APIs, PDFs, databases, and event streams. Cleans, deduplicates, and chunks. Writes vectors, Parquet, or JSONL your models can retrieve from. A live pipeline-health dashboard is public at diagest.ixprt.com/pipeline.

    Open
  2. 02

    DailyWallStreet

    Named analyst profiles. Defined market beats.

    Halpern on options flow. Mercer on Fed minutes. Ostrum on 10-Q filings. Vogel on credit. The public site is the source of truth for current research and publishing cadence.

    Open
  3. 03

    AssetModel

    Structure on top of noisy data.

    An active-development research project exploring how structured signals can support theses, risk framing, attribution, and auditable portfolio decisions.

    Open

Index  /  In market

Already live

One public product currently operating on live sports-betting markets.

System  /  Architecture

From fragmented inputs
to structured action.

News, liquidity, sentiment, prediction markets, and market structure flow through Diagest to produce weighted signals, execution logic, and downstream output.

Index  /  Notes

Latest from the blog

Writing on data-for-AI, vector retrieval, quant infrastructure, and the operating questions every team building on AI eventually has to answer.