Observe
Fault codes, symptoms, equipment context, history and measurements.
Industrial Diagnostic Intelligence
AQLYRON is being built to help field technicians and service organizations transform symptoms, measurements and technical evidence into the next best diagnostic action.
Product in active development
The platform
AQLYRON is designed around a reasoning loop that continuously reduces diagnostic uncertainty instead of presenting generic troubleshooting lists.
Fault codes, symptoms, equipment context, history and measurements.
Build and update competing fault hypotheses using available evidence.
Select the safe measurement with the greatest diagnostic value.
Confirm the root cause and verify that the repair actually corrected the failure.
Diagnostic intelligence
AQLYRON is being designed to compress the diagnostic tree: preserve what has already been tested, rank the remaining hypotheses and select the next safe measurement with the highest diagnostic value.
Compressor operation confirmed. Fan command path requires discrimination before component replacement.
Completed valid tests remain part of the case so the diagnostic path does not restart from zero.
Component replacement should follow discriminating evidence, not simply the presence of an error code.
Technical facts must match equipment, revision, operating state and measurement context.
The workflow continues beyond finding a likely cause to confirming that the corrective action resolved it.
One diagnostic intelligence platform
AQLYRON is being developed as one technical intelligence system with two complementary operating layers: a field workflow for diagnosis at the equipment and an enterprise layer for service quality, asset intelligence and technical knowledge across the organization.
A field-first diagnostic workspace intended to reduce unnecessary measurements, preserve completed work and guide the technician toward the safest high-information next test.
Prioritizes the measurement most useful for separating the remaining plausible causes.
Valid completed tests remain part of the case instead of restarting the troubleshooting process.
Field-ready technical facts retain their source, revision, applicability and measurement context.
Architecture supports reasoning across rails, rectifiers, drive stages, sensing, communications and feedback paths.
An organizational intelligence layer intended to connect diagnostic quality, asset history, workforce capability, recurring failure patterns and private technical knowledge.
Support costly replacement decisions with traceable technical evidence rather than guesswork.
Connect likely failure, required tools, technician capability, parts context and asset history.
Build structured technical history for each asset across failures, measurements, repairs and verification.
Detect missing evidence, unsupported conclusions and recurring diagnostic weaknesses.
Combine electrical, thermal, pressure, timing, communication and historical patterns.
Preserve organization-specific knowledge while keeping field experience distinct from OEM technical evidence.
Technology
Calculations, limits, applicability and evidence should remain deterministic when they can be. AI is reserved for semantic extraction, synthesis and difficult reasoning.
About
AQLYRON is an industrial diagnostic intelligence platform currently in development by SERVICE AC FRIGO SRL, Romania.
Development begins with HVAC/R field service, while the architecture is intended to support broader technical-service and industrial diagnostic domains.
Early access
Field and enterprise workflows are currently being built. The official contact channel will activate with the AQLYRON domain and business email.