About Race to AGI

Tracking the global race to artificial general intelligence

Our Mission

Why we built Race to AGI

Race to AGI is an AI industry intelligence platform that tracks the global AI landscape and analyzes every development through the lens of AGI progress.

We help investors, researchers, engineers, and policymakers understand what matters in the race to artificial general intelligence. Our platform aggregates news from trusted sources, clusters related stories into emerging AI trends, and provides expert analysis on implications for AGI development.

In a world flooded with AI news, we cut through the noise to surface the developments that actually matter for the future of intelligence.

What Makes Us Different

AGI-Focused Lens

We don't just report AI news. Every story is analyzed for its implications on AGI timelines and the competitive landscape.

Narrative Detection

Our AI clusters related articles into emerging trends, helping you see the bigger picture beyond individual headlines.

Company Intelligence

Track 100+ AI companies with AGI readiness scores, funding history, and competitive positioning analysis.

Global Coverage

Monitor the worldwide AI race across regions, from Silicon Valley to Beijing, London to Tel Aviv.

100+
AI Companies
5x
Daily Updates
15+
News Sources
7
Scoring Dimensions

Our Data Sources

Transparent about where our data comes from

We aggregate information from verified, authoritative sources:

Company Blogs

Official announcements from OpenAI, Anthropic, Google DeepMind, Meta AI, Microsoft, NVIDIA, and 10+ more AI labs.

Tech News

Curated coverage from TechCrunch, The Verge, Wired, MIT Technology Review, and other trusted publications.

Research

Daily papers from ArXiv (cs.AI, cs.LG, cs.CL), HuggingFace featured papers, and trending GitHub repositories.

Market Data

Company valuations from funding rounds, market caps, and industry databases including Crunchbase and PitchBook.

Our Editorial Process

Human insight powered by AI assistance

We use AI to help us process the volume of AI news, but human judgment guides the analysis. Here's how our pipeline works:

  1. Collection: We aggregate news from 15+ verified sources, 5 times daily.
  2. Summarization: AI generates TL;DR summaries to help readers quickly understand each story.
  3. Analysis: Each article receives AGI impact analysis explaining why it matters for the race to AGI.
  4. Clustering: Related articles are grouped into emerging AI trends using semantic embeddings.
  5. Curation: Our editorial team reviews and refines the automated analysis.

We're transparent about our use of AI. Look for the "AI-Summarized" badge on news articles to know when content has been processed by our AI pipeline.

Contact Us

We'd love to hear from you

Have questions, feedback, or partnership inquiries? Reach out to us:

Email: contact@racetoagi.org