When something breaks, your app needs structured diagnostic data — not forum posts and PDF manuals. Covala provides error codes, failure modes, severity ratings, and fix steps for 600+ product types.
When users need to diagnose a problem, they hit the same wall every time: unstructured data scattered across dozens of sources, none of it API-accessible.
Error code meanings scattered across manufacturer sites, each formatted differently, none API-accessible. Your team ends up scraping forums and parsing PDFs for every new brand.
Is E24 cosmetic or urgent? Without structured severity data, every error looks the same to your app. Users can't prioritize, and dispatchers waste time triaging by phone.
No structured data on failure likelihood, repair cost estimates, or remaining useful life. Every repair decision is a coin flip without age, lifespan, and pricing context.
Cross-brand error code database. Query by code, brand, and product type. Get meaning, severity, and fix steps in a single structured response. No more scraping manufacturer sites.
Common failure patterns by product type, affected components, and probability by age. Know which parts fail first on a 7-year-old dishwasher vs a 3-year-old one.
Structured troubleshooting steps with difficulty ratings. Know when users can self-fix vs when to dispatch a technician. Reduce unnecessary service calls by up to 40%.
Combine error severity, product age, lifespan data, and replacement pricing to recommend repair or replace. Give users a clear, data-driven answer instead of a guess.
A user reports "E24" on their Bosch dishwasher. One API call returns the error meaning, severity, fix steps, and a repair-vs-replace recommendation with cost estimates.
Dispatch tools, work order systems, and contractor platforms that need to pre-diagnose issues before rolling a truck.
IoT devices that report error codes need a knowledge layer to interpret them and surface actionable guidance to homeowners.
Pre-diagnosis reduces unnecessary dispatches, saving $30M+ annually for major providers. Structured severity data enables smarter triage.
Structured data for repair guides, parts identification, and troubleshooting tools. Turn raw knowledge into searchable, filterable content.
Error codes, failure modes, severity ratings, fix steps, and repair-vs-replace recommendations — structured, normalized, and available via API for 600+ product types.
Error codes + failure modes + fix steps + repair-vs-replace