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T.AI - Industrial Data Readiness & Contextualization
INDUSTRIAL DATA READINESS ACCELERATOR

Make Raw Industrial Data Ready for DataOps & AI

T.AI helps industrial companies convert messy, inconsistent, and unstructured plant data into clean, contextualized, platform-ready industrial intelligence.

LIVE CONTEXTUALIZATION

Industrial Context Engine

Create trusted relationships between assets, historian tags, engineering systems, process boundaries, and operational intelligence.

Source Systems

SAP PM P&IDs Historian Documents PI

T.AI Layer

Ontology Knowledge Graph Validation Tag Mapping

Industrial Data Platforms Need Clean Context

Most industrial source systems remain fragmented, inconsistent, disconnected, and structurally chaotic.

SAP Master Data Problems

SAP master data is incomplete, duplicated, inconsistent, and poorly structured.

Disconnected Hierarchies

Asset, tag, process, and document relationships remain disconnected.

P&ID Intelligence Locked Away

Valuable engineering context remains trapped inside PDFs and drawings.

A Pre-Contextualization Layer For Industrial Data

Industrial Sources

SAP PM / EAM
P&IDs
Historian Systems
Engineering Documents
Line Lists

T.AI Context Engine

Ontology • Validation • Knowledge Graph • Asset Context • Relationship Modeling

Target Platforms

Cognite
Databricks
AVEVA
Palantir
Microsoft Fabric

What We Deliver

01

SAP Master Data Clean-Up

Improve SAP hierarchy quality and maintenance readiness.

Functional location validation
Equipment mapping
Duplicate detection
Criticality validation
02

P&ID Extraction & Tag Mapping

Extract engineering intelligence from drawings and historians.

Tag mapping
Process boundaries
Instrument extraction
Historian alignment
03

Engineering Document Extraction

Convert operational documents into structured plant knowledge.

Metadata extraction
Asset-document mapping
Technical attributes
Search-ready knowledge

Built for Modern Industrial Platforms

Cognite
Databricks
AVEVA CONNECT
Palantir
Microsoft Fabric
AWS Industrial Data Fabric
Azure Data Lake
Industrial AI Platforms

Business Value

Faster Contextualization

Reduce manual mapping and validation effort.

Better Data Quality

Improve SAP and historian data quality.

Stronger AI Foundation

Create trusted industrial context before AI rollout.

Engagement Model

01

Data Readiness Assessment

Review SAP, historian, P&ID, and engineering data quality.

02

Contextualization Pilot

Build validated industrial context models.

03

Enterprise Rollout

Scale contextualization across multiple plants and sites.

Why T.AI

Generic Approach
T.AI Approach
Moves data between systems
Makes industrial data meaningful
Focuses on ETL pipelines
Focuses on industrial context
Treats documents as files
Extracts engineering knowledge

Frequently Asked Questions

Does T.AI replace Cognite or Databricks?

No. T.AI prepares industrial data before platform ingestion.

Can T.AI work with SAP and AVEVA PI?

Yes. T.AI supports SAP PM/EAM, AVEVA PI, historian systems, P&IDs, and engineering documents.

Before Investing More in AI, Fix the Data Foundation

T.AI helps industrial companies identify source data gaps, clean plant information, create asset-tag-document relationships, and prepare platform-ready datasets for analytics, AI, reliability, and enterprise industrial programs.