Lovelace Launches on Google Cloud Marketplace to Give Enterprise Agents Context They Can Trust

Enterprises can now procure and deploy Lovelace's Elemental Core inside their own Google Cloud environment, automatically turning raw data into knowledge graphs that give AI agents secure, source-traceable context

PITTSBURGH, Oct. 14, 2026 /PRNewswire/ -- Lovelace, the context engine for enterprise agents, today announced its availability on Google Cloud Marketplace. Customers can now procure Lovelace's Elemental Core through their Google Cloud account and deploy it directly into their own Google environment. There, Lovelace turns complex structured and unstructured data into knowledge graphs that give AI agents accurate, traceable context for research and decision-making.

Deployed as a containerized platform, Lovelace's Elemental Core turns data in Google Cloud Storage buckets into a secure context engine. Lovelace automates data onboarding in hours without the need for rigid schemas, resolves entities at 10,000/sec with >99.5% accuracy, and scales to one trillion edges with sub-second latency. Every output carries a citation trace back to its primary source, ensuring autonomous agents deliver research-grade, token-optimized decisions with zero risk of data exfiltration.

Customers use Lovelace for work where accuracy and performance matters, including portfolio risk monitoring in financial services, operations planning in national security, and supply chain disruption tracking. In benchmarks on research workloads, Lovelace has been shown to reduce token usage by up to 100x, providing significant cost savings.

Lovelace's Elemental Core is available through Google Cloud Marketplace, offering Google Cloud customers the same benefits, including drawing down on their Cloud commitments, faster deployments and procurement, and simplified billing, with pricing and terms tailored to each customer. Purchases count toward a customer's existing Google Cloud commitment, so teams can put committed spend to work instead of securing new budget, even within complex procurement requirements. Lovelace built its offering natively on Google Cloud. It integrates seamlessly with existing products in a client's environment, so organizations can put agents to work on the data and tools they already use.

"Bringing Elemental Core to Google Cloud Marketplace will help customers quickly deploy and manage the context engine on Google Cloud's trusted, global infrastructure," said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. "Lovelace can now securely scale and support customers on their digital transformation journeys."

"Giving an AI agent access to an organization's data is the easy part," said Toby Smith, co-founder and Executive Vice President at Lovelace. "The harder part is making sure the context it works from is trustworthy and accurate. That means resolving entities quickly and tracing every answer back to its source, so agents are working from reliable context almost immediately. Being available on Google Cloud Marketplace makes it simpler and faster for enterprises to deploy Elemental inside their own Google Cloud environment."

Lovelace's Elemental Core is available now on Google Cloud Marketplace. To learn more, visit lovelace.ai or contact [email protected]. 

About Lovelace

Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis. Lovelace's context engine platform, Elemental, uniquely integrates data ingestion, entity resolution, and graph building into a single pipeline that empower agentic deployments, exponentially amplifying the investigative power for complex queries. With its proprietary ground-breaking YottaGraph, Lovelace provides enterprises with real-time context, enabling agents to understand the impact of global intelligence on enterprise data for unmatched insights with millisecond precision. Founded in 2023 by Andrew Moore, former head of Google Cloud AI and dean of Carnegie Mellon's School of Computer Science, Lovelace currently works with some of the largest public and private enterprises in the world.

SOURCE Lovelace AI