QUERY — Imrandd Technologies

Our latest innovation

Sovereign AI built for Engineering

The Challenge

Engineers, asset managers, and data teams in industrial sectors struggle with vast unstructured documents (PDFs, drawings, reports) that hide critical insights on equipment, safety, and procedures. Manual extraction is slow, error-prone, and misses subtle patterns, leading to delayed maintenance, compliance risks, safety incidents, or inefficient operations amid growing data volumes.

The Imrandd Solution

QUERY focuses on extracting critical information about industrial equipment by mining documents (PDFs, drawings, reports) for equipment tags, keywords, and references. It leverages AI-powered analysis (with local LLM support) to process these references, generating detailed equipment summaries, timelines from historical documents. QUERY enables engineers and managers to generate insights on asset conditions intuitively, without time consuming document analysis — driving proactive maintenance, risk mitigation, and informed decision making.

Proven results

8–24×

Time savings on integrity reviews & life extension studies

18×

Cost reduction on document processing

50–70%

Engineering time converted from data-gathering to analysis

In Summary

QUERY delivers an equipment-driven AI platform for industrial document analytics, mining tags and keywords to uncover hidden insights across historical files. This powerful approach generates comprehensive equipment summaries and timelines, slashing analysis time while boosting accuracy, compliance, and decision-making. Outputs integrate seamlessly into workflows — all secured with local LLM options for your environment.

Near-real-time equipment tag mining and entity extraction for safety/technical details
Drilldown timelines tracing equipment history from historical documents
Batch processing to query references across large equipment datasets
Custom configurations to prioritise industry-specific equipment parameters (e.g. oil & gas, nuclear, construction, manufacturing)
Trustworthy answers, sourced from your documents with references

Return on investment

Quantified return on investment

Real deployments. Real savings. Proven across multiple assets.

Project type	Manual engineering time (£50/hour)	With QUERY	Cost saving	Speed gain
Technical documentation processing – 900 documents: PFDs, P&IDs, C&Es, data sheets	450 hrs = £22,500	24 hrs + £18 LLM costs = £1,220	18×	18×
Corrosion circuit reviews – multiple North Sea assets	587 hrs = £29,350	24 hrs + £60 LLM costs = £1,980	14×	24×
Isometric drawing analysis – 1,065 drawings: lengths, diameters, spatial data	532 hrs = £26,625	32 hrs + £50 LLM costs = £3,250	8×	16×