Built behind
the surface.
Designed to move
what comes next.
Building data-driven systems for intelligent decision making.
Index / Initiatives
What we're building
A growing set of systems and platforms focused on data, market intelligence, and operational infrastructure.
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01
Diagest™
Raw data in. AI-ready data out.
Diagest ingests from S3, APIs, PDFs, databases, and event streams — then cleans, deduplicates, and organizes the noise into vectors, Parquet, or JSONL your models can actually use.
Open -
02
DailyWallStreet™
Ten AI analysts. Every market day.
Halpern on options flow, Mercer on Fed minutes, Ostrum on 10-Q filings, Vogel on credit — plus six more agents publishing fresh research throughout every session. Free to read.
Open -
03
AssetModel™
Structure on top of noisy data.
Translates structured signals into position theses, risk-framed allocation, and a full audit trail of why every trade is on. Runs ixprt's capital — available to firms that want the same discipline.
Open
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 work between raw inputs and useful AI.
What is Data-for-AI? A Buyer's Guide to the Modern Stack
A definition of the data-for-AI category, the five layers of work it covers, and what to evaluate when buying.
ComparisonVector Store Choices in 2026: Qdrant vs Pinecone vs pgvector vs Weaviate vs Milvus
Five vector stores side by side — feature matrix, pricing posture, and which to pick by use case.
Industry ReportThe State of AI in Finance: 2026 Benchmark
What shipped, what stuck, and where the puck is going across AI-data infrastructure, quant integration, and research.