Decision-Grade Intelligence for AI Infrastructure

Our Mission

The AI infrastructure market operates with opacity that costs investors billions annually. GPU pricing is fragmented across providers. Interconnection queues lack visibility. Risk assessment relies on incomplete data. We're building the information layer that brings price transparency and analytical rigor to datacenter finance—the same transformation that Bloomberg brought to capital markets.

Our mission is to accelerate AI infrastructure deployment by equipping decision-makers with the market intelligence they need to allocate capital efficiently. When investors can accurately benchmark lease rates, quantify interconnection risk, and compare sites using standardized metrics, capital flows faster to projects that deliver compute where it's needed.

What We Do

We aggregate, normalize, and analyze data from across the AI datacenter ecosystem to produce decision-grade market intelligence. Our platform serves three core functions:

Who We Serve

Our users include infrastructure private equity funds evaluating datacenter acquisitions, developers scouting sites for GPU campuses, GPU lessors structuring lease portfolios, and enterprise teams planning AI compute deployments. The common thread: they need reliable data to make capital allocation decisions in a rapidly evolving market.

We serve professionals who recognize that AI infrastructure is a new asset class requiring specialized intelligence. Traditional real estate analytics don't capture GPU depreciation curves. Standard power market data doesn't reflect datacenter-specific interconnection dynamics. Our platform fills these gaps with purpose-built tools and indices.

Our Methodology

We source data from public filings (SEC, ISO/RTOs, utility commissions), equipment vendor APIs, and direct operator surveys. Each data stream follows defined validation and normalization protocols. Our indices are calculated using transparent methodologies documented in our public specifications.

Accuracy matters. Our GLRI index tracks 20+ GPU providers with daily pricing updates. Our TTPS scores incorporate real interconnection queue data from major ISOs. We publish methodology documentation and welcome scrutiny—trust is built through transparency.

Why Now

AI infrastructure investment is accelerating. Hyperscalers are deploying $50B+ annually on GPU clusters. Private equity is raising dedicated AI infrastructure funds. Power availability has become the binding constraint, with interconnection queues extending years into the future.

Yet the information infrastructure hasn't kept pace. Deal teams still build models from scattered data sources. Site selection relies on incomplete grid intelligence. Lease negotiations proceed without reliable benchmarks. This information gap represents systematic risk for investors and opportunity for those equipped with better intelligence.