Lovelace

What Lovelace does

Lovelace AI, Inc. is a Pittsburgh-based enterprise software company founded in 2023 by Andrew Moore, the former head of Google Cloud AI and former dean of Carnegie Mellon's School of Computer Science. The company develops and sells Elemental, an enterprise context engine builder that ingests real-time data streams and transforms fragmented enterprise data into citation-backed knowledge graphs designed to power autonomous AI agents for high-stakes decision-making. Elemental's pipeline integrates agentic data operations, entity resolution (claimed 99.5% accuracy), and graph construction into a single end-to-end flow, and is augmented by YottaGraph, a proprietary world reference graph containing 63M+ entities, 1.1B+ relationships, and 3.1B+ attributes drawn from regulatory filings, corporate registries, sanctions lists, news, and market data. The platform is offered through three deployment tiers: fully private deployment inside customer environments, private deployment with YottaGraph augmentation, and a Lovelace-managed cloud option.

The company's go-to-market is enterprise direct sales targeting national security agencies (SOCOM, Air Force Research Laboratory, U.S. Space Force) and financial institutions for use cases including portfolio risk monitoring, enhanced due diligence, sanctions/KYC screening, and cross-border trade monitoring. Lovelace exited stealth in April 2026 backed by a $16.2 million seed round led by RRE Ventures (with USIT, Magarac, and Carnegie Mellon University as co-investors) and released benchmarks claiming parity with Google's Gemini Deep Research at less than 1% of the cost, achieved by combining lightweight LLMs with structured graph retrieval. The pricing model is infrastructure-based (not per-seat), with multi-year contracts for private deployments and monthly billing for the managed cloud tier, and integrations with Palantir Foundry, AWS, Azure, and Google's MCP-based agent ecosystem.

Name

Lovelace

Legal name

Lovelace AI, Inc.

Website

https://lovelace.ai

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

1–10 employees

Short description

Lovelace builds Elemental, an enterprise context engine that fuses fragmented data into citation-backed knowledge graphs, augmented by its YottaGraph world reference, to power autonomous AI agents for defense, financial services, and supply chain customers.

Ownership category

akta.pro rank

Product category

Enterprise AI Infrastructure

NAICS

Software Publishers (513210)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Augmented Analytics & AI-Assisted BI (NLQ/NLG, Insights) (HDAEAMAD)

akta.pro secondary industries

Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG), Data Engineering, Integration & ETL/ELT Services (BPAEAHAB)

Keywords

• Enterprise context engines
• Knowledge graph AI
• AI agent infrastructure
• Entity resolution platform
• Mission-critical AI

Headquarters

HQ city

Pittsburgh

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Platform/SaaS Subscription: Infrastructure pricing model replacing per-seat licensing. Customers pay based on infrastructure usage rather than headcount, allowing costs to scale with value delivered. Three deployment options: Private Deployment, Private + YottaGraph Augmentation, and Managed Cloud. The Managed Cloud option has Lovelace operating infrastructure for immediate access.
2. Enterprise Context Engine Deployment: Custom enterprise deployments where Elemental is containerized and implemented within customer environments. Can integrate with Palantir Foundry, Azure, AWS, internal UIs, and any system that can call an API. Headless and API-first architecture.

Pricing tiers

Distribution channels2 records

Marketing channels5 records

Core offering

Lovelace builds Elemental, an enterprise context engine platform that ingests real-time data streams and transforms fragmented enterprise data into citation-backed knowledge graphs powering autonomous AI agents. Its companion product YottaGraph is a proprietary world reference graph containing 63M+ entities, 1.1B+ relationships, and 3.1B+ attributes from public and licensed sources, delivering millisecond retrieval to augment enterprise deployments.

Product overview

Lovelace offers a unified platform architecture centered on Elemental, its core context engine builder, complemented by the YottaGraph, a proprietary world reference graph. Elemental serves as the primary product that enterprises use to build custom context engines from their own data, while YottaGraph provides a continuously maintained global intelligence layer that enriches any deployed context engine with world knowledge. The platform is offered through three deployment options: Private Deployment (entirely within customer environment), Private + YottaGraph Augmentation (private with global context), and Managed Cloud (operated by Lovelace).

Differentiator

Problem solved

Functional benefit

Brands

• Elemental: Enterprise context engine builder platform that integrates agentic data ops, entity resolution, and graph building into a single end-to-end pipeline for mission-critical AI applications.
• YottaGraph

Products and services

• Elemental Enterprise context engine builder that ingests real-time data streams and fuses siloed information into unified, citation-backed knowledge graphs, integrating agentic data ops, entity resolution, and graph building into a single end-to-end pipeline at global data scale.
• YottaGraph Proprietary, real-time world reference graph that augments enterprise context engines with global intelligence, mapping over 63 million entities, 1.1 billion relationships, and 3.1 billion attributes from regulatory filings, corporate registries, sanctions lists, news, and market data with millisecond retrieval.

Quantifiable outcome

• 1000x greater investigative power for complex queries through token-light graph queries
• +5 more outcomes

Named customers3 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability6 records

Feature6 records

Partnerships

Four partnerships are on record, tiered integration partner and infrastructure partner.

• Palantir Foundryintegration partnerTechnology or IntegrationElemental integrates with Palantir Foundry platform, allowing joint customers to combine Palantir's data platform with Lovelace's context engine capabilities.
• Google Cloud Platform (GCP)infrastructure partnerTechnology or IntegrationElemental's production environment is built on Google's Security Foundations Blueprint running on Google Cloud. Uses Workload Identity and CMEK encryption. Platform designed to be cloud-agnostic but GCP is primary infrastructure.
• Amazon Web Services (AWS)integration partnerTechnology or IntegrationElemental can be implemented against AWS deployment options as part of cloud-agnostic deployment strategy.
• Microsoft Azureintegration partnerTechnology or IntegrationElemental can be implemented against Azure deployment options as part of cloud-agnostic deployment strategy.

Scale indicators7 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Palantir Technologies: Palantir sells enterprise data integration, ontology, and AI platform (Foundry/AIP) to defense and large enterprises — the same mission-critical customer set Lovelace targets. Elemental integrates with Palantir Foundry, signaling overlapping use cases in defense, intelligence operations planning, and supply chain risk, with similar evidence-backed, citation-driven output style.
• Primer.ai: Primer builds AI/ML for intelligence analysts across defense and financial services, focused on fusing large document streams into structured, evidence-backed outputs — the same mission-critical analysis workflow Lovelace targets with Elemental.
• Glean: Glean is an enterprise AI search and 'work graph' platform that connects fragmented enterprise data into agent-ready context. Lovelace's Elemental solves a closely related problem with deeper knowledge-graph grounding and citation-backed provenance.
• Hebbia: Hebbia sells an AI knowledge worker for financial and professional services, ingesting fragmented documents and producing cited, evidence-backed analyses — overlapping directly with Lovelace's pitch of verifiable, mission-critical outputs from siloed data.
• AlphaSense: AlphaSense aggregates regulatory filings, corporate registries, news, and broker research into a searchable intelligence layer for investment and corporate strategy teams — a functionally similar 'continuously maintained world reference graph' to YottaGraph for the financial services segment.

Broad incumbents

• Databricks: Databricks is the dominant data + AI platform for large enterprises, including Unity Catalog for data lineage and Mosaic AI for agent building. Lovelace complements but also competes with Databricks for the same enterprise AI context layer, especially with knowledge graph and entity resolution capabilities.
• Snowflake: Snowflake is a cloud data platform with growing AI features and Cortex AI for context-augmented agents on enterprise data. It serves many of the same large financial and public-sector customers and competes for the AI-context layer Lovelace targets.
• C3.ai: C3.ai sells enterprise AI applications to defense, financial services, and oil & gas — categories Lovelace also targets — and bundles its own data unification and AI agent capabilities as a turnkey enterprise AI stack.
• Scale AI: Scale AI provides data infrastructure for AI including fine-tuning, evaluation, and increasingly enterprise context and defense solutions (e.g., Scale Donovan). It competes at the level of data curation and AI readiness for enterprise and government AI agents.

Emerging players

• Neo4j: Neo4j is the leading graph database vendor used as foundation for enterprise knowledge graphs and GraphRAG patterns. Lovelace's YottaGraph and entity resolution compete with custom Neo4j-based stacks that large enterprises assemble themselves.

Market position

Strengths5 records

Weaknesses6 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/Lovelace-AI
• Xx.com/lovelaceworks
• LinkedInlinkedin.com/company/lovelaceai

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Lovelace