AI-Ready Data
Aterio delivers real-time, structured datasets on U.S. population shifts, housing development, energy infrastructure, industrial growth, and data center activity.
Updated hourly and reviewed by human analysts, the data includes standardized fields such as coordinates, company names, stock tickers, construction stages, and estimated power usage.
These datasets are optimized for integration with Large Language Models (LLMs) to enable next-generation workflows in investment research, real estate portfolio tracking, infrastructure planning, and AI-driven alerting.
Why Aterio’s Data is LLM-Ready
Hourly Updates: Ensures language models are reasoning over the most current data available.
Structured & Standardized: Delivered in consistent schema across all formats (CSV, Snowflake, S3, GCP, Databricks).
Human-Verified: Analysts validate new developments, tag entities (e.g. Equinix, Google), and link to tickers (e.g. $EQIX).
Context-Rich: Data includes status (e.g., under construction, completed), geographic coordinates, and estimated activation dates.
Trigger-Ready: Ideal for enabling LLMs to act as monitoring agents or copilots across real estate, energy, and investment workflows.
How LLMs Can Use Aterio’s Data
New Development Monitoring
Scan and summarize new entries daily; generate alerts or investment briefs.
Portfolio Coverage Checks
Match Aterio's coordinates against a company’s portfolio to track relevant changes.
Automated Research & Summaries
Answer natural language questions like “What new data centers are planned in Texas?”
Triggering AI Workflows
Initiate workflow when specific conditions (e.g., new 50MW site in Nevada) are met.
Scenario Analysis & Projections
Use structured historical patterns to model energy demand or population growth forecasts.
Last updated