Index / Notes / Authors / Reid Spachman
Reid Spachman
Founder, ixprt
Reid is the founder of ixprt, a privately operated capital firm building data-driven systems and execution tools. He writes here about data-for-AI, vector retrieval, quant infrastructure, and the work between raw inputs and useful AI.
Posts
-
Comparison Reid Spachman
Risk Attribution Models Compared: Barra vs Axioma vs Custom Approaches
How the major risk-attribution approaches compare — Barra, Axioma, and the custom factor models that funds increasingly build in-house.
Read → -
Buying Guide Reid Spachman
What is a Quant Engine? A Buyer's Guide for Funds and Family Offices
A definition of the quant-engine category, the four functions it covers, and what funds and family offices should evaluate before buying or building.
Read → -
Comparison Reid Spachman
Vector Store Choices in 2026: Qdrant vs Pinecone vs pgvector vs Weaviate vs Milvus
Five vector stores side by side — feature matrix, pricing posture, latency at scale, and which to pick by use case.
Read → -
Buying Guide Reid Spachman
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 look for when you evaluate vendors.
Read → -
Problem Statement Reid Spachman
Why RAG Pipelines Fail: 5 Common Pitfalls (and What to Watch For)
Five named failure modes that kill RAG systems in production — drift, dedup gaps, chunk-strategy mistakes, retrieval-recall miss, and embedding-model mismatch.
Read → -
Definition Reid Spachman
AI Analyst Desks: A 2026 Field Guide
What AI analyst desks are, what makes them work, and where they fit in the 2026 market-research landscape.
Read →