Organizing Brownfield Data Across Multiple Plants.
The Semantic Intelligence Layer for Databricks
Databricks unifies your data.
Kobai unifies its meaning.
Kobai adds an ontology-driven semantic layer directly inside your Databricks environment, enabling AI and human analysts to reason across complex, multi-system enterprise data without replatforming, moving data, or compromising governance.
Available for replay:
Navigating Bill of Materials and Product Design Data with a Semantic Layer using Kobai on Databricks
Webminar on Wednesday, October 29th, 2025.
Your Lakehouse Has Your Data. But Does It Have Context?
Databricks has transformed how enterprises store and process data. But unifying data at scale is only half the challenge. In complex enterprise environments from industrial operations to regulated life sciences to multi-system digital enterprises, the real bottleneck is semantic fragmentation.
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Same Asset, Multiple Names ERP calls it 'Pump-A42'. MES calls it 'Asset-7734'. Your historian has no record at all. |
Implicit Relationships Connections between systems, components, and events exist in engineers' heads, not in your data model. |
AI That Hallucinates LLMs trained on inconsistent, unlabelled enterprise data produce confident answers that are wrong or untrustworthy. |
Weeks-Long Modelling Cycles Every new cross-system use case requires months of ETL, data modelling, and re-integration work. |
Kobai solves this by placing a governed, ontology-driven semantic layer directly inside your Databricks environment, so your AI and analytics workloads operate on data that actually means something.
Built Inside Your Databricks Environment. Not Alongside It.
Kobai is not an integration. It is not middleware. It is a semantic and reasoning layer deployed directly within your Databricks environment.
Your data stays where it is. Your governance model remains intact. Your Databricks investment is amplified.
HOW KOBAI WORKS NATIVELY IN DATABRICKS
Kobai runs natively inside Databricks to unify meaning across systems, generate an ontology-driven knowledge graph, and deliver trusted, contextual data for ML and GenAI workloads.
Built on Delta Lake
Kobai's semantic index and knowledge graph are built directly on Delta Lake tables. Your data stays where it is. No external data movement. No secondary graph store to manage.
Unity Catalog Governance Inheritance
Permissions and access controls set in Unity Catalog are automatically extended and enforced for all graph traversals and semantic queries. No second security layer to manage.
Ontology-Driven Semantic Layer
Domain experts model real-world concepts (assets, components, events, relationships, etc.) using Kobai Studio's no-code ontology builder, creating a shared language across systems.
Feeds Clean Context to AI/ML
ML and GenAI workloads receive semantically enriched and relationship-aware data, dramatically reducing hallucination risk and improving model accuracy and trustworthiness.
Graph Queries Translated to SQL/Spark
Graph traversals and pattern-matching queries are automatically translated into optimised SQL/Spark and executed on Databricks compute. No separate graph runtime required.
Enhances Databricks, Doesn't Replace It
Kobai is purpose-built as a Databricks companion. Your Databricks investment, compute, governance, and lineage are fully preserved and extended, not disrupted.
From Data Platform to Business Outcome — Faster
With Kobai running on Databricks, enterprise teams move from fragmented, siloed data to AI-ready semantic intelligence, without rebuilding their data platform.
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Outcome |
What It Means in Practice |
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Reduce data modelling cycles from weeks to hours |
Automated mapping via Kobai Precursor connects source systems to the semantic model without manual ETL scripting. |
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Accelerate traceability investigations |
Multi-hop graph traversal lets analysts trace from defect → component → supplier → design revision in one query — not five. |
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Improve AI accuracy, reduce hallucination risk |
LLMs receive semantically enriched, relationship-aware context from the knowledge graph, not raw table dumps. |
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Enable cross-system reasoning (ERP, PLM, MES, historians) |
Kobai unifies entities and relationships across systems with different naming conventions, schemas, and formats. |
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Move from data platform to business outcome faster |
Domain experts model, explore, and interrogate data in no-code tools without waiting for data engineering cycles. |
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Inherit enterprise governance automatically |
Unity Catalog permissions propagate to every semantic query — field-level security with full audit and lineage. |
Built for the Complexity of Industrial Enterprise
Kobai is designed for environments where data complexity is not optional, it's inherent. Here's how it applies across your pipeline verticals:
Aerospace & Defence
Parts Traceability & BOM Reasoning
Trace every component from design revision through manufacturing, supplier, and maintenance record across PLM, MES, and ERP in a single semantic query.
Customer outcome: 20% reduction in maintenance turnaround time (aerospace manufacturer case study).
Pharmaceutical
Deviation Investigation & Regulatory Traceability
Link deviation events to batch records, equipment, operators, and CAPA workflows with full audit trail and regulatory lineage, all within your governed Databricks environment.
No data leaves your environment. Unity Catalog governance enforced throughout.
Energy, Oil & Gas
Asset Lineage Across Systems
Unify asset data across MES, PLM, PI historians, and field data systems. Build a single semantic model of infrastructure relationships to power operational AI and sustainability reporting.
Customer outcome: 40% integration time reduction, 35% data quality improvement (energy sector case study).
Manufacturing
Cross-Plant Knowledge Unification
Create a shared semantic model that spans multiple plants, product lines, and supplier networks, enabling AI-driven production optimisation and cross-plant benchmarking on a single Databricks platform.
Supports ERP ↔ MES ↔ Quality ↔ Logistics reasoning without custom integrations.
ENTERPRISE - GRADE GOVERNANCE. ZERO COMPROMISE.
For regulated industries, data governance is not a feature; it's a baseline requirement. Kobai is designed to meet that baseline from the ground up.
Your data remains under your control. Your compliance posture remains intact.
Key Governance Assurances
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Kobai runs entirely within your Databricks environment, so deployment and operations stay under your control.
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No external data movement is required, reducing risk and simplifying compliance with internal and regulatory policies.
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Deeply leverages Unity Catalog for centralized metadata, access control, and lineage across all governed assets.
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Delivers enterprise‑grade governance and security, including fine‑grained permissions, auditability, and alignment with existing security frameworks.
The Kobai Platform on Databricks
Databricks provides the unified data foundation. Kobai provides the semantic intelligence layer that makes AI trustworthy and operational. Together, they enable:
- Contextual AI
- Cross-system reasoning
- Governed knowledge graphs
- Enterprise-grade GenAI readiness
Five integrated components that work together inside your Databricks environment:
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Saturn |
The lakehouse-native graph engine. Builds a semantic index over your Delta Lake tables and translates graph traversals into optimised SQL/Spark. Zero data movement, lakehouse-scale performance. |
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Precursor |
Automated data mapping. Connects source systems to your semantic model with expert guidance and automation, reducing the 'data plumbing' burden from weeks to hours. |
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Kobai Studio |
No-code ontology design. Business and domain experts model entities, relationships, and rules visually, creating a shared semantic language that persists across teams and systems. |
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Tower |
Persona-driven exploration. Business users navigate enterprise relationships through tailored, no-code visual interfaces without writing a single line of query. |
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Episteme |
Transparent generative AI. Users interrogate data using natural language and see exactly how every answer was derived, tracing back to source data and semantic rules for trustworthy AI. |
See How Semantic Intelligence Accelerates AI on Databricks
Book a 30-minute technical walkthrough with a Kobai solution engineer. We'll show Kobai running live inside a Databricks environment on data patterns relevant to your industry.
