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Semantic Distillation: A Brief Primer

The fact that business teams are drowning in disconnected data is getting to be a bit of a cliche. Adding a semantic layer to an enterprise data platform can bring order to chaos, allowing teams to collaborate effectively and leverage AI to unlock valuable insights.

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Kobai & Industry News

Celebal Technologies Partners with Kobai

Celebal Technologies Partners with Kobai

to Launch Turnkey Knowledge Graph Solutions For Global
Enterprises on Databricks

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Latest Event:

Navigating Bill of Materials and Product Design Data with a Semantic Layer using Kobai on Databricks

Webminar on Wednesday, October 29th, 2025
Play now

Build on Partnership with Databricks & Kobai

THE SEMANTIC ONTOLOGY AND INTELLIGENCE LAYER FOR DATABRICKS

Turn your Databricks Lakehouse into an intelligence layer — not just a data platform.

Without moving data.
Without adding a new platform.
Without compromising governance.

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.

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.

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.

Image depicts data and analytics from a pump

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.

Outcome	What It Means in Practice
Reduce data modelling cycles from weeks to hours	Automated mapping via Kobai Precursor connects source systems to the semantic model without manual ETL scripting.
Accelerate traceability investigations	Multi-hop graph traversal lets analysts trace from defect → component → supplier → design revision in one query — not five.
Improve AI accuracy, reduce hallucination risk	LLMs receive semantically enriched, relationship-aware context from the knowledge graph, not raw table dumps.
Enable cross-system reasoning (ERP, PLM, MES, historians)	Kobai unifies entities and relationships across systems with different naming conventions, schemas, and formats.
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.
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

Kobai runs entirely within your Databricks environment, so deployment and operations stay under your control.
No external data movement is required, reducing risk and simplifying compliance with internal and regulatory policies.
Deeply leverages Unity Catalog for centralized metadata, access control, and lineage across all governed assets.
Delivers enterprise‑grade governance and security, including fine‑grained permissions, auditability, and alignment with existing security frameworks.

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.
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.
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.
Tower	Persona-driven exploration. Business users navigate enterprise relationships through tailored, no-code visual interfaces without writing a single line of query.
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.