Traditional market intelligence relies on static reports, fragmented databases, and manual research. Delphidata takes a fundamentally different approach. We built a semantic market model — a continuously updated knowledge graph that connects companies, projects, assets, technologies, and supply chains into a single, queryable network.
Built as a platform, not a product.
One unified foundation powering multiple access points.
Most market intelligence vendors build individual tools — a dashboard here, a data feed there, an AI chatbot bolted on as an afterthought. Delphidata is different. Our semantic market model functions as infrastructure. Whether you integrate via API, analyze through dashboards, query with AI, or monitor through signal feeds, you work with the same structured, verified, continuously updated data.
One Model, All Products
Every product operates on identical data. An API response, a dashboard visualization, and an AI-generated answer all draw from the same graph structure.
Continuous Learning
The system improves through use. Query patterns reveal coverage gaps that our ingestion engine targets automatically. Confidence scores update in real time.
Infrastructure, Not Implementation
Integration happens at the data layer. No complex ETL pipelines to maintain, no vendor-specific formats to reconcile. Your systems connect directly.
Three integrated layers.
From fragmented signals to structured, queryable intelligence.
The Delphidata platform processes raw, unstructured information from hundreds of thousands of global sources and transforms it into structured, relationship-rich intelligence. This happens across three tightly integrated layers.
ATLAS — The Ingestion Engine
Continuously monitors over 150,000 sources across 12 languages — regulatory filings, corporate announcements, patent databases, procurement portals, news outlets, and technical publications. Custom transformer-based NLP models extract structured entities with domain-specific understanding.
Autonomous signal processingGAIA — The Knowledge Graph
Connects entities into a persistent knowledge graph mapping ownership structures, supply chain relationships, competitive dynamics, and technology dependencies. Built on Neo4j Enterprise with Redis caching for sub-200ms query performance.
Schema-enforced network structureAletheia Engine — The Inference Layer
Grounds every AI response in verified, graph-structured data using GraphRAG. Decomposes queries into entity targets, traverses the relevant graph neighborhood, assembles verified facts, and instructs the language model to reason exclusively over structured evidence.
Graph-powered context for AIWhat makes it different.
Not another BI tool, aggregator, or chatbot.
vs. Traditional BI
vs. Generic LLMs
vs. Data Aggregators
Four ways to connect.
Same data, different interfaces for every workflow.
Serapis
Enterprise APIStream structured, asset-level data directly into your internal systems through RESTful or GraphQL APIs.
Learn about Serapis →Delphi
Interactive DashboardExplore the knowledge graph visually through interactive maps, pipeline trackers, and competitive benchmarking tools.
Learn about Delphi →Aletheia
Grounded AIAsk questions in natural language and receive answers backed by verified graph data with full source attribution.
Learn about Aletheia →Theia
Market Signal FeedMonitor real-time signals across critical infrastructure sectors. Configure alerts by sector, geography, company, or event type.
Visit TheiaData quality and coverage.
150,000+ sources across 30+ critical sectors.
Data quality is not a feature — it is the foundation everything else rests on. Every data point is traceable to its original source document.
Geographic coverage
Top sectors by project count
Enterprise-grade infrastructure.
European-hosted, GDPR-compliant, built for reliability.
Delphidata is built and hosted in Europe, designed to meet the data governance, security, and performance requirements of enterprise organizations operating in regulated industries.