Live website intelligence
TransmogrifAI - AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark from Salesforce Engineering
AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark from Salesforce Engineering
Last refresh
Updated 41d ago
Analyst read
Professional
Detected stack
Quick read
transmogrif.ai looks like technology & computing. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 5/100.
What to do next
34/56 fields populated (61%)
Providers with missing fields
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 4/4
All expected fields present
ads: 0/5
Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals
publisher: 3/5
Missing: directCount, resellerCount
files: 2/3
Missing: robotsSitemapUrls
traffic: 0/10
Missing: monthlyVisits, globalRank, countryRank, bounceRate, avgVisitDuration, pagesPerVisit, topCountry, topRegions, topKeywords, trafficSources
whois: 6/6
All expected fields present
radar: 0/4
Missing: globalRank, rankBucket, categories, sourceTimestamp
ai: 7/7
All expected fields present
Keep exploring
Good pSEO pages should not strand the visitor. These links keep the journey moving through adjacent directories and comparable live reports.
Why this module matters
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
TransmogrifAI is an open-source AutoML library developed by Salesforce Engineering for building machine learning workflows on Apache Spark. It focuses on accelerating ML developer productivity through automation, modularity, and compile-time type safety for structured data.
Monetization Signals
Open Source Software (OSS) model detected
Low trust with 5/100 score
Machine learning engineers, data scientists, and software developers working with structured data on Apache Spark who want to automate ML workflows and reduce development time.