Extruct AI: Company Intelligence and Data Enrichment

Key Features

• Semantic Search

  Finds companies using plain-English prompts and natural language queries.

• Lookalike Search

  Identifies companies similar to a target company based on a provided domain or UUID.

• Deep Search

  An agent-based discovery process that ranks companies against custom criteria using web and LinkedIn data.

• AI Tables

  Supports the enrichment and scoring of company lists within a reusable workflow.

• Contact Extraction

  Supports the retrieval of LinkedIn profiles, email addresses, and phone numbers.

• CRM Enrichment

  Supports deduplication, standardization of fields, and automated data filling for CRM records.

Use Cases

• Building Niche Company Lists

  Using natural language to identify companies that meet specific business criteria.

• Finding Lookalike Accounts

  Identifying new prospects that mirror the characteristics of existing customers.

• CRM Data Hygiene

  Cleaning company databases by removing duplicates and standardizing formatting across records.

• Lead Scoring

  Applying custom signals and criteria to score companies to determine their fit for an ideal customer profile.

Integrations

• Affinity CRM

FAQ

How does the credit system work in Extruct AI?

Each feature has a different credit cost: semantic and lookalike searches cost 1 credit, Deep Search matches cost 2, and email or phone lookups cost 4 and 20 credits respectively.

Is there a free version of Extruct AI?

Yes, there is a Free plan that provides 25 credits every month to test search and API access.

Which plan is right for a user needing contact information?

The Pro plan is designed for users who need email and phone lookups, as well as Deep Search and AI research tables.