Resources Centre
Understand a Kaiju result.
Start with the question you have about a result.
I have a question about...
Why did Kaiju return this?
Open the evidence and the check behind the finding.
Why is this blank?
Check whether the required research completed.
How old is this?
Use the observation date attached to the finding.
What can Kaiju not know?
Review the limits of public evidence.
Start here
Open the reference that matches your question.
Browse all 15 resources or press / to search.
Evidence and confidence
Open the public observations behind a technology finding and see what supports the result.
Review referenceData freshness
See when website evidence was observed and when a result may need another check.
Review referenceCoverage
See which checks completed before you interpret a missing value.
Review referenceDetection accuracy
Test company matching and technology detection with known positive, negative, ambiguous, and difficult examples.
Review referenceKnown limitations
See what public website and technology evidence can support and which facts remain unknown.
Review referenceCorrections
Challenge a company match, field, technology finding, or evidence record.
Review referenceSecurity and data handling
Review access, retention, processing, and delivery controls for public evidence and customer-provided files.
Review referenceEvaluate
Make a buying decision quickly.
Evaluation
Kaiju vs BuiltWith
BuiltWith is exceptionally deep on the technologies websites use, their history, and technology-led prospecting. Kaiju V1 provides account Research, explicit Lists, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.
Open comparisonEvaluation
Kaiju vs Wappalyzer
Wappalyzer detects website technologies, builds technographic lead lists, enriches domains, and alerts teams when a stack changes. Kaiju V1 provides account Research, explicit Lists, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.
Open comparisonEvaluation
Kaiju vs WhiteWhale
WhiteWhale helps teams monitor accounts for custom signals and turn them into Why Now summaries, scores, discovery, and CRM updates. Kaiju V1 provides account Research, explicit Lists, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.
Open comparisonEvaluation
Kaiju vs Sumble
Sumble brings ICP and TAM work, account ranking, people, company research, key moments, and CRM data quality into one GTM data product. Kaiju V1 provides account Research, explicit Lists, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.
Open comparisonEvaluation
Kaiju vs Clay
Clay gives GTM teams flexible building blocks for enrichment, research, signals, audiences, CRM workflows, and outbound. Kaiju V1 provides account Research, explicit Lists, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.
Open comparisonEvaluation
Kaiju vs FullEnrich
FullEnrich finds and verifies business emails and phone numbers across multiple data providers. Kaiju V1 provides account Research, explicit Lists, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.
Open comparisonEvaluation
Kaiju vs Trayo AI
Trayo describes a signal-to-outbound workflow. Kaiju V1 focuses on explicit Lists, account Research, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.
Open comparisonEvaluation
Kaiju vs AI agents
AI agents can research accounts, use tools, call APIs, and automate multi-step work. A team building its own sales-intelligence system still has to define what to watch, preserve evidence and history, manage permissions, evaluate results, and keep the workflow reliable. Kaiju V1 provides account Research, explicit Lists, supported Signals and inspectable evidence. Dynamic Lists, automated Fit/Priority scoring and Buying Windows are planned beyond V1.
Open comparisonCheck the result for yourself
Have a question the references do not answer?
Bring the company, field, and evidence you are looking at.