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Start with a customer, prospect, account, client, or research list, then inspect how Kaiju supports each finding.

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About Kaiju

Companies reveal useful information through their public websites: the software and infrastructure they run, the AI products they expose, the customer experiences they support, and the ways their public systems are configured.

That information is often scattered across pages, scripts, network responses, metadata, DNS records, and other public web surfaces. Finding it manually takes time, and different researchers can reach different conclusions.

Kaiju exists to turn those public observations into reliable company intelligence. A useful result should show what was found, where it was found, when it was observed, and whether anything prevented a complete check.

The current product applies that intelligence to a concrete task:

  1. Upload a CSV or spreadsheet of companies. Start with client prospects, partner candidates, target accounts, CRM records, or another company list your team already uses.
  2. Confirm uncertain matches. Kaiju matches each row to a company and website, then asks for review where the match is unclear.
  3. Research each approved company. Kaiju checks relevant public web surfaces for the website and technology findings you selected.
  4. Inspect and download the results. The updated CSV keeps the original columns and adds findings, evidence, observation context, and result status.

Agencies and technology partners can use that process to research implementation, migration, integration, and advisory opportunities for clients. Software vendors and revenue teams can use the same foundation to research target accounts, improve CRM records, investigate competitor users, or prioritize a campaign.

Underneath the current product, Kaiju maintains a structured model for observations, supported findings, incomplete checks, and corrections. This makes the returned data inspectable and keeps future product directions grounded in the same evidence model.

CSV company research and evidence-linked findings are available now. Reusable research jobs and connected delivery remain in development. Monitoring, structured API access, and broader automation remain directions being explored rather than features customers should assume are available.

Kaiju develops complementary surfaces:

  • kaiju.land provides the current company-research and CSV experience.
  • DeepScope lets someone inspect browser-visible technology evidence on one active website.
  • kaiju.engineering develops open-source observation and detector tooling.
  • kaiju.technology is the planned API and data-platform surface.

Every new customer can evaluate the current product with 25 familiar companies before increasing recurring volume. Team assistance is available for larger files, custom findings, field mapping, security review, and delivery planning.