Make your data AI ready.

Build industry-defining models, agents, and applications on a foundation of clean, contextualized, and reliable data.

Your best ideas are trapped by your data.

You're under pressure to deliver ROI from AI, but your data is too complex, siloed, or "dirty" for generic AI tools to understand. You know what needs to be done, but you're blocked by the very foundation of your business: your data.

See how autonomous agents build your AI-ready data foundation.

Our platform uses autonomous agents to transform your chaotic, raw data into a clean, contextualized, and AI-ready asset.

Ingestion and cleaning

An intelligent agent connects to your disparate sources, normalizes raw data, and automatically monitors for schema and pipeline changes, ensuring your data stays clean.

Contextualization

Mapping and quality agents add deep semantic context by building an industry-specific ontology and linking related entities across all your systems.

Create your intelligent data foundation

Autonomous agents create the three key components that make your data AI-ready. These are the essential pieces that are absent in raw data but are required for AI to succeed.

Business/Data catalog

Translate your data for humans and AI. We create a simple, readable guide so everyone knows what your data means and how to use it.

Knowledge graph

Connect the dots in your data. We map the hidden relationships between customers, products, and systems so your AI can understand the ‘who, what, and why’ of your business.

Semantic index

Enable smarter search. We create an index that understands intent, not just keywords, so you can find the exact information you need, instantly.

From insight to action

Your Intelligent Data Foundation (MCP) is now active, packaging your data into structured tools, resources, and prompts that autonomous agents use to deliver results.

Tools

Structured capabilities agents can execute. Example – Entity Resolution Tool “Find all related parties for ‘Acme Trading LLC’ across global watchlists.”

Resources

Contextual knowledge agents can reference. Example – AML Policy “Transactions over $10,000 from high-risk jurisdictions require enhanced due diligence.”

Prompts

How agents use tools and resources to act. Example – Prompt “New high-risk transaction alert for an entity matching a sanctioned individual.”

Our pre-built ontologies: the foundation for vertical AI

Our platform’s power comes from our deep understanding of your industry. We provide pre-built ontologies that model the complex relationships between the key entities in your world, giving you a massive head start on any AI initiative.

Retail & CPG

Our retail ontology provides an integrated view of products, stores, shoppers, and promotions to maximize revenue.

Industrial

The industrial ontology connects assets, sensor data, and work orders to deliver a holistic perspective of your manufacturing process.

Financial Services

Our financial services ontology links accounts, entities, transactions, and events to streamline compliance.

Enterprise IT

The Enterprise IT ontology creates a unified map of your technology landscape, connecting servers, applications, users, and incidents.

Unlock your stalled AI initiatives.

Stop letting complex data be a barrier to value. Let's discuss how Eureka can provide a direct path from your data to measurable business outcomes.

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