FAST ACCESS TO ACCURATE, INTELLIGENT TECHNICAL INFORMATION DELIVERED
ON TIME, IN FULL, EVERY TIME.
We use artificial intelligence technologies to support the digital transformation of large complex industrial assets.
We transform legacy unstructured technical data into digitally intelligent information improving operational and safety performance of any asset over its full life cycle.
Digital transformation solved
All too often the technical data you need is dispersed across legacy documents and systems, isn’t accurate, consistent, shareable, up to date or even fully recorded. Productivity suffers, risks and costs increase.
Often content is unstructured, meaning it has to be read by a human to make sense of it and use it. Required information cannot be found easily, interpreted and used by computer systems.
DIGATEX turns unstructured data into digitally intelligent, connected information such that it can be searched, found quickly, is assured, accurate and can be exchanged directly between systems.
Historically, creating digitally intelligent information from legacy unstructured data has resource intensive, taken too long and not been reliable.
We use artificial intelligence, cloud processing, and data analytics to overcome this challenge, and by transforming your technical information you open the door to transform your business processes.
We analyze documents and data sources,
extract the content and transform it into
digitally intelligent information
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customer use cases
Digitally Intelligent Documents
Especially suited to data handover between project stages and brownfield and modification projects. Provides full content extraction with tag to document linkage and tag/attributes data consolidation. Enables fast access to accurate data via documents, tags, systems, equipment types etc.
Digital Twin
A Digital Twin predicts the operational performance of an asset, and enables virtual interaction. To act on predictions you need actionable asset data. This can only be achieved with accurate asset data with tag to document and tag to 3D visual linking. Digitally intelligent documents makes it easy.
INVENTORY OPTIMISATION
Often, data describing inventory is held as unstructured data in ERP systems, making it difficult to match spare parts requirements. This leads to duplication and difficulty sharing inventory across organsiations. Make sense of your data and reduce inventory levels and time spent searching for spare parts.
Document Control Assistant
Reduces document control effort >50% by automating check-in and extraction of document meta-data. Performs QC checks on readability and conformance to drawing standards; Performs design checks on document content, tagging and numbering conformance.
Commissioning & Asset Registers
Developing commissioning packs, and asset registers is a time consuming task involving manual data extraction and mark-up of drawings. Significantly reduces time to extract tags, and data from key documents to assist compiling commission packs, asset registers and maintenance hierarchies
Inspection Planning
Inspection planning needs data from different sources - line lists, P&ID’s, isometrics, vessel data sheets, material specifications and process conditions. This data needs to be re-purposed to support a risk based inspection strategy. Combining intelligent documents with rule based learning makes this process faster, with better results with less cost.
Asset Verification
Data comes from different sources. Often it is duplicated, inconsistent and difficult to verify. Once captured as intelligent data it can be analysed, checked and consolidated to create a unified view of the technical data. Then it can be mapped, linked and verified with maintenance and material data.
Proposals
One of the most time consuming tasks at the proposal stage is estimating equipment and materials. Often this is done by manually counting tags from drawings. Reduce effort and time to validate estimates and design data by automating material take-offs and checking tag registers against bid documents.