PITTSBURGH, Pa. — Lovelace has emerged from stealth to introduce Elemental, an enterprise context engine builder designed to meet the demands of speed, scale, and accuracy in high-stakes environments – dramatically increasing the investigative power of AI agents by 1000x on complex queries, making the company the only provider of enterprise-scale context engines for mission-critical applications.
By unifying data ingestion, entity resolution, and graph construction into a single pipeline – and enriching it with real-time intelligence from its proprietary YottaGraph – Elemental builds context engines that give AI agents the contextual awareness needed to form fast, high-confidence conclusions in rapidly changing conditions.
Led by Andrew Moore, former head of Google Cloud AI, dean of Carnegie Mellon University’s School of Computer Science, and the first AI advisor for US CENTCOM, Lovelace brings together an expert team behind technologies used by billions, from Google’s core systems to global AI platforms.
“Throughout my career, I’ve been driven by a simple question: how can we use advanced intelligence to help people make the right decision when the cost of being wrong is catastrophic?” said Moore. “AI has extraordinary potential in investigative contexts – but only if it unambiguously helps humans make better decisions. With Elemental, we’re giving teams the speed of AI with the confidence of verifiable evidence, so every conclusion can be traced, tested, and trusted in the moments that matter most.”
As enterprises deploy AI agents into increasingly complex and dynamic environments, the lack of reliable context has become a critical barrier to adoption.
To solve this, the Elemental platform creates secure, enterprise-specific context engines that transform fragmented enterprise data into structured knowledge graphs that AI agents can navigate and query within milliseconds with verifiable citations, delivering deep-research-quality analysis with the immediacy of a simple query.
Through access to Lovelace’s YottaGraph – scaling to trillions of interconnected facts – enterprises can enrich internal data with real-time global intelligence, enabling faster, more accurate decision-making about the state of the world at any given moment.
For more information on Elemental or YottaGraph, or to request a demo of the platform, visit lovelace.ai.
