Flaibot for Energy & Utilities

Connect every source behind asset performance.

Flaibot connects operational measurements, engineering records, logs, and technical reports around the same physical asset. Investigate performance changes across disciplines while keeping asset identity, time periods, units, and source evidence consistent.

flaibot / relationship layer
Investigate asset performanceIllustrative model
Selected entityPhysical asset

Connect source records around the same physical asset, then follow the relationships and evidence.

IdentityRelationshipsProvenance
One connected context
Physical assetMeasurementsEngineeringLogsTechnical reportsWell records

Where Flaibot helps

Follow the question across your systems.

Bring the relevant records, relationships, and definitions into the same investigation.

01

Compare asset performance

Rank and compare production or operating measurements over a defined period.

02

Investigate performance changes

Examine measurement changes alongside the relevant logs and technical records.

03

Resolve asset identity

Determine which source records and datasets belong to the same well or asset.

Ask across your data

Start with a question that spans systems.

ASK FLAIBOTExample question

Which well had the largest production decline, how did pressure change over the same period, and what logs support the investigation?

See the connected context

This investigation brings these entities and records into the same context:

Physical assetMeasurementsEngineeringLogsTechnical reportsWell records

The relevant definitions, time scope, calculations, and source documents stay attached to the finding. Missing or conflicting evidence remains visible.

Built for review

Keep the evidence attached to the answer.

Keep the entity, time period, and meaning consistent across every step.

  • Consistent contextResolve identities and definitions across your structured data and documents.
  • Traceable evidenceBring calculations and source records into the same investigation.
  • Visible uncertaintyMake missing, conflicting, or unresolved evidence clear to the reviewer.

Your data. Your next question.

Start with one question your systems cannot answer together.

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