One intelligent system. Every decision, better informed.
deeplify sits across the systems your integrity teams already use — turning fragmented inspection, maintenance, engineering, and operational data into one connected integrity context. Specialized agentic workflows then do the work engineers shouldn’t have to do by hand: gathering context, running analysis, flagging risk, and preparing every decision for human review. The result isn’t another database or dashboard — it’s an operating layer that prepares the decision, so engineers can focus on what only they can do: make the call.
Built to connect — not replace
deeplify layers intelligence on top of the systems you already run. No rip-and-replace, no new system of record — just measurable value from the data and workflows already in place.
Inspection expertise no other AI platform can match
We built our own norm-compliant inspection platform - with models trained on real inspection workflows, down to the raw measurement.
Governed, traceable AI — by design
Every output is transparent, reviewable, and traceable, so integrity engineers can trust and defend every decision in the most safety-critical environments.
One connected system, built to prepare the decision
Connect
Brings together structured and unstructured data across your existing inspection, maintenance, operations, and engineering systems — no replacement required.
Understand
Specialized AI models build a connected integrity context — linking findings to asset history, CML locations, corrosion trends, and operational signals. Data quality is checked at the source.
Act
Agentic workflows orchestrate these models across the full assessment process, surfacing a complete, review-ready output for the engineer.
Govern
Every recommendation is transparent, traceable to source evidence, and ready for engineering review. The engineer reviews, challenges, and decides. The system prepares.
