Blog
Aletheia: What We're Building and Why
We built a dashboard for exploring data visually. We built an API for integrating it programmatically. But the most common thing clients do is ask questions. So we're building Aletheia — an AI assistant that answers them, grounded in our knowledge graph, with sources attached.
Tracking the Global Hydrogen Project Pipeline: What the Data Actually Shows
Everyone publishes hydrogen project counts. Few explain what those numbers actually mean. Here's what we've learned structuring data on 4,000+ projects across the full value chain — and why most headline numbers are misleading.
Defense and Space Intelligence: Why Industrial Markets Need a Different Data Model
Energy transition intelligence focuses on project pipelines and capacity additions. Defense and space markets run on different logic: procurement cycles, prime-subcontractor networks, program timelines, and supply chain depth. The data model needs to match.
CCUS Project Intelligence: The Data Problem Nobody Talks About
There are more CCUS project databases than ever. IEA, Global CCS Institute, NETL, and a growing list of commercial providers all track project counts. But project counting isn't the hard problem. The hard problem is connecting capture sources to transport infrastructure to storage sites — and none of the existing databases do that well.
Why Knowledge Graphs Beat Vector Search for Industrial Market Intelligence
Every enterprise AI pitch mentions RAG. But retrieval-augmented generation over flat document chunks falls apart when you need to answer questions that span hundreds of sources, require numerical precision, or depend on relationships between entities. Here's why we built on graphs instead.
The Missing Layer in Market Intelligence
The market intelligence industry generates $70 billion a year. Yet most organizations tracking infrastructure projects still maintain their own spreadsheets. Here's why — and what we're building to fix it.