ABOUT DIAGVANCE
Built to Make HVAC
Diagnosis More Intelligent
Turning scattered fault codes, service data and manufacturer documentation into structured, traceable diagnostic intelligence, so technicians reach the right next test faster.
Diagvance is building an AI-assisted HVAC diagnostic system that combines manufacturer knowledge, field data, sensor measurements and technician verification.
The Problem
Why Diagvance Exists
HVAC is not short on technical knowledge. It is short on knowledge that is easy to reach at the moment of diagnosis.
What a technician needs is spread across manuals, fault-code tables, bulletins and service histories. The rest lives in the heads of experienced technicians and rarely transfers across a team.
Diagvance is being built to make that knowledge structured, traceable and usable during diagnosis. We do not claim that all HVAC knowledge is in the system today.
Where diagnostic knowledge lives today
A fault code tells you where the control gave up. It does not always tell you why, or what to test next.
The Founder's Perspective
Built from Real HVAC Experience, Not Just Software
Diagvance started from direct experience with HVAC service, troubleshooting and field workflows, not from a software idea looking for a market.
Founder Masoud Aghighi has hands-on HVAC/R experience and builds from the technician's side of the call. The goal is not to impress with AI. It is to give a technician a clearer starting point and a better next test.
Our Diagnostic Philosophy
Built on Evidence, Not AI Guesswork
Manufacturer facts, field observations and AI reasoning are different kinds of information. The system is designed to keep them apart and traceable.
Official Manufacturer Documentation
Source FactStructured Diagnostic Knowledge
Source FactField Data & Observations
Field DataAI Reasoning
InferenceNext-Test Guidance
SuggestionTechnician Verification
Human DecisionManufacturer Facts
Stay traceable to their original source.
Traceability
Source document, model, control revision and page are kept.
Fact vs. Inference
Facts, field data and AI reasoning are never mixed.
Uncertainty
Confidence is shown, not hidden.
Technician in the Loop
AI suggests the next test. The technician decides.
Source Traceability
What a Structured Record Keeps
Each diagnostic record is designed to carry its own provenance, so a technician can see what a statement is based on and which equipment it applies to.
Illustrative structure only. Not an excerpt from the Diagvance database.
The Platform
What We Are Building
Not a chatbot and not a fault-code lookup. A connected system that links fault codes, service data, manufacturer knowledge and next-test guidance.
AI-Assisted Diagnostics
Turns symptoms, fault codes and measurements into a structured brief. Outputs are ranked suggestions for a qualified technician, never a final diagnosis.
Service Request Triage
Customer symptoms turned into useful information before arrival.
Technician Briefs
Likely fault areas and next checks by text or email.
Structured Fault Knowledge
Manufacturer fault data in a source-linked structure.
Field Measurement Layer
Technician readings and service history to confirm the diagnosis.
Methodology
How We Validate Diagnostic Knowledge
Our working method, shown honestly. It is not a formal certification, third-party validation or peer-reviewed process.
Source
Start from official manufacturer documentation.
Structure
Convert it into consistent records, keeping provenance.
Separate
Keep facts, field observations and inference distinct.
Cross-Check
Review model applicability, conflicts and gaps.
Test
Run it against realistic troubleshooting scenarios.
Human Review
Critical logic is reviewed before production use.
Where This Is Heading
Development Roadmap
A structured path, from diagnostic intelligence, to real field data, to a deployable HVAC diagnostic platform. This shows direction, not finished capabilities.
Build the Intelligence
Build a structured HVAC diagnostic knowledge layer using verified OEM information, fault codes, troubleshooting logic, field evidence, and technician knowledge.
Connect the Field
Introduce technician measurements, equipment data, technician inputs, and guided diagnostic testing to connect the diagnostic intelligence with real HVAC systems.
Deploy the Platform
Bring the diagnostic intelligence into technician workflows, service operations, integrations, and real HVAC company environments.
Long-Term Vision
Where We Are Going
A capable HVAC diagnostic intelligence layer that brings together the evidence a technician already depends on, and tracks where each piece came from.
“What might be wrong?”
“What evidence do we have, what is most likely, and what should we test next?”
The Person Behind Diagvance
Meet the Founder
Masoud Aghighi
HVAC/R technician and diagnostic technology builder combining field experience, structured technical knowledge and AI-assisted troubleshooting.
See What We’re Building
Explore the diagnostic approach or talk to us about a demo. Feedback from technicians and service teams shapes what gets built next.
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