Press
The latest press releases, media coverage, blog and thought leadership articles.
The YottaGraph and Why AI Needs Explicit Knowledge of the World.
Before Lovelace came out of stealth, we decided we would prove our technology on the hardest dataset possible: the world itself. We would use Elemental to ingest, resolve, and graph an enormous, fast-moving, deliberately heterogeneous corpus of public data, and we would do it at a fidelity high enough that we'd stake our company on the result. We call this work the YottaGraph.
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The latest
The YottaGraph and Why AI Needs Explicit Knowledge of the World.
05.27.2026
We Built Something That Didn’t Exist. Today, We’re Sharing It With the World.
04.29.2026
Engineering Determinism: Lovelace AI Seeks to Replace Naive RAG with Enterprise-Scale Context Engines
04.29.2026
Lovelace emerges from stealth with context engine that claims 1000x AI investigative power
04.28.2026
Startup Lovelace targets contextual AI engine at mission-critical use cases
04.28.2026
Startup tackles knowledge graphs to improve AI accuracy
04.28.2026
Lovelace Emerges from Stealth with Industry-Defining Context Engine Builder for Mission-Critical AI
04.28.2026
Lovelace Completes Seed Round to Accelerate AI Across Defense and Commercial Sectors
05.06.2025
A Calculated Decision: How Pittsburgh Forged Lovelace AI’s Advantage
01.21.2025
What Are Pittsburgh’s Advantages Over Silicon Valley? Andrew Moore Has Answers
02.08.2024
AI can help humanity, Moore says – as long as we recognize the limitations
02.06.2024
U.S. CENTCOM Hires Dr. Andrew Moore, One of World’s Leading Experts on AI/ML
04.19.2023
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