Komo AI

Shared search · Sep 13, 2026

How can Last Database help identify companies matching an ICP?

Last Database can help identify ICP-matching companies by turning your ICP into searchable account criteria:

  • Firmographics: industry, business model, geography, employee count, and revenue.
  • Technology signals: identify companies using relevant tools or platforms.
  • Growth signals: filter for funding, hiring activity, or headcount growth.
  • Segmentation: create separate lists for SMB, mid-market, and enterprise accounts.
  • Prioritization: score and rank companies based on how many ICP attributes they match.
  • Validation: verify key records before outreach, since database coverage and accuracy can vary. 1

For example, you could search for: “UK B2B SaaS companies with 50–500 employees, over $10 million in revenue, using Salesforce, and actively hiring.” This converts a broad ICP into a practical target-account list. 1

A strong workflow is to start with your best existing customers, identify recurring attributes, filter for those attributes in the database, and then validate each account using current signals such as job postings, technology usage, or company announcements. 24

The exact capabilities depend on which “Last Database” product you mean; I couldn’t verify its specific filters from public information.

Related

Can Last Database support ideal account research?

Possibly—but I couldn’t verify a product called “Last Database” or find reliable public documentation for its account-research features. If you mean Landbase, it is positioned as an ICP-discovery and account-targeting platform; sources describe AI tools that build precise target-account lists and support account prioritization. 8

For ideal-account research, a platform should help you:

  • Define the ICP: industry, geography, employee count, revenue, business model, and company stage.
  • Identify matching accounts: search and segment companies against those criteria.
  • Enrich account profiles: capture technologies used, hiring activity, funding, leadership changes, and other relevant signals.
  • Prioritize accounts: rank companies by ICP fit and current buying intent.
  • Validate findings: distinguish verified, current evidence from static or stale database records. Traditional databases are generally useful for firmographic filtering but can be weaker on complex, behavior-based criteria. 3

A practical research workflow would be:

  1. Analyze your highest-value customers.
  2. Turn recurring attributes into explicit ICP filters.
  3. Generate a broad account universe.
  4. Add live signals—such as hiring, funding, technology adoption, or product launches.
  5. Score and manually review the highest-priority accounts before outreach.

So, yes in principle, if “Last Database” provides company search, enrichment, signal detection, and prioritization. But its specific support cannot be confirmed from the available public sources. If you meant Landbase, say so and I can assess that product specifically.

Related

Ask your own follow-ups

Komo answers with sources. Pick up this thread in your own history and keep digging.