Data and AI platform for data engineering, warehousing, governance, dashboards and AI agents, billed by usage on AWS, Azure and GCP.

Lovelace
Lovelace builds Elemental, a context engine that turns enterprise data into knowledge graphs for AI agents.
What is Lovelace?
Lovelace is a company that sells Elemental, a context engine placed between raw enterprise data and AI agents. Elemental ingests structured and unstructured data, uses agents to learn new formats without fixed schemas, resolves entities that appear under different names, and builds a graph of entities, relationships, events and evidence over time. Every conclusion carries a citation back to its source, which matters for compliance and investigation work. Agents reach it through MCP-based tooling and the platform supports A2A, and agents can run continuously on standing instructions to watch entities, portfolios or regions. Lovelace also offers the YottaGraph, a world reference graph that enriches private data with public and commercial third-party data. Target sectors include financial services, national security and defense, and supply chain and logistics. Elemental Core can be bought through Google Cloud Marketplace and deployed in your own Google Cloud environment. Pricing is not published, so contact the company.
Use cases
- Give AI agents shared enterprise context
- Resolve entities across data sources
- Build knowledge graphs from raw data
- Monitor portfolio and compliance risk
- Track supply chain disruptions
- Trace agent conclusions back to sources
Who it's for
Why use Lovelace
- Gives different agents one shared, consistent view of entities instead of conflicting partial views.
- Every output can be traced to its source, which supports review in high-stakes work.
- Keeps private data inside your own cloud environment when deployed from Google Cloud Marketplace.
- Reduces the amount of text sent to models by providing a prepared context instead of raw documents.
Lovelace features
- Automatic ingestion of new data formats without fixed schemas
- Auditor agents that check extractions against source documents
- Entity resolution across systems
- Graph creation of entities, relationships, events and evidence
- Citation trace back to primary sources
- MCP-based agent tooling and A2A support
- Standing-instruction agents for continuous monitoring
- YottaGraph enrichment with third-party data
- Deployment in your own Google Cloud environment
Lovelace integrations
How to get started with Lovelace
- Understand the data: agents learn and ingest your data formats.
- Fuse the data: entities from different systems are resolved into single records.
- Map the data: the platform builds a graph of entities, relationships and events.
- Find insights: agents query the graph through MCP tooling and return answers with citations.
Lovelace limitations
- Pricing is not published; purchasing is by enterprise contact or Google Cloud Marketplace
- Aimed at enterprise teams with substantial data and engineering resources
Lovelace pricing
Lovelace is sold on custom quotes, so its prices aren't published.
Prices can change and may vary by country or exclude tax. Check the official pricing page.
Lovelace alternatives
The main Lovelace alternatives listed on Debuly are Glean, Zep, DataModal, Azure AI Search, Cognee and Euno. The table compares pricing and platforms; order is A–Z.
| Tool | Pricing | Starting price | Platforms |
|---|---|---|---|
| Lovelace | Contact sales | — | — |
| Azure AI Search | Freemium | — | Web |
| Cognee | Freemium | $1, usage-based | Web, API, Self-hosted, MCP server |
| DataModal | Contact sales | — | Web, API |
| Euno | Pricing unknown | — | Web, API |
| Glean | Contact sales | — | Web, API |
| Zep | Freemium | — | API |

Azure AI Search
Managed Microsoft Azure search service for full-text, vector and hybrid retrieval, with agentic retrieval and a free tier for AI apps and RAG.

Cognee
Open-source memory engine for AI agents that combines vector search, knowledge graphs and relational storage, with a hosted cloud.
FreemiumVisit Cognee (official site)
DataModal
Enterprise data and metadata platform that gives AI agents governed business context without copying data.
Contact salesVisit DataModal (official site)
Euno
Context platform that maps data lineage, labels governed assets and serves trusted data context to AI agents

Glean
Enterprise AI platform that searches company apps, answers questions with permissions respected, and runs agents on your own data.
Contact salesVisit Glean (official site)
Zep
Managed memory and context platform for AI agents, built on the Graphiti knowledge graph, with Python, TypeScript and Go SDKs.
FreemiumVisit Zep (official site)
Lovelace FAQ
How much does Lovelace cost?
Lovelace does not publish prices. Elemental Core can be procured through Google Cloud Marketplace, or you can contact the company.
Who is Lovelace for?
It targets financial services, national security and defense, and supply chain and logistics teams building agent-driven analysis.
Does Lovelace support MCP?
Yes. Elemental exposes MCP-based tooling for agents and supports A2A.
Can I run Lovelace in my own cloud?
Yes. Elemental Core is a containerized platform that can be deployed in your own Google Cloud environment.
What are alternatives to Lovelace?
Alternatives for knowledge graphs and agent context include Neo4j, Palantir Foundry, Glean and Stardog.
Sources & verification
Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.
| Source | Type | Accessed |
|---|---|---|
| lovelace.ai/ | official | |
| lovelace.ai/products | official | |
| press.lovelace.ai/products | official | |
| lovelace.ai/solutions | official | |
| lovelace.ai/articles/lovelace-launches-on-google-cloud-marketplace-to-give-enterprise-agents-context-they-can-trust | official |
Image credits
- Logo: from lovelace.ai · fetched · Vendor trademark, used only to identify the product; removed on request
- Cover: none collected yet, so a generated tile is shown.
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