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Introduction

NeuralVerge is a data platform for teams that need structured, operational results from the web and premium data providers. It combines multi-step research runs, web search, extraction pipelines, and targeted data source endpoints into one system so product teams, analysts, compliance teams, and internal tools can automate complex information work without stitching together multiple vendors.

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What you can do with NeuralVerge

With NeuralVerge, you can:
  • run multi-step research that searches, reads pages and writes a sourced report
  • search the web and get ranked results back
  • extract structured fields from webpages and documents
  • query premium data sources such as LinkedIn, Facebook, Instagram, YouTube, Google Maps, marketplaces, company registries, email, phone, and Crunchbase
  • read any past run again by its session id
  • return both human-readable summaries and machine-readable payloads

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Core product areas

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AI Research

Use AI Research when the answer has to be assembled from many sources: it plans queries, reads the pages it finds, can call data sources as tools, and returns a sourced report. Best for:
  • company and counterparty intelligence
  • risk, sanctions and adverse-media checks
  • market and competitor overviews
  • analyst work that must be repeatable
See AI Research.

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AI Extract

Use AI Extract when you already know the page or source you want to inspect and need a structured schema-based response. Best for:
  • webpage extraction
  • profile parsing
  • lead capture
  • product data extraction
  • turning unstructured content into JSON
See AI Extract. Use Search when you already know what to look for and just need ranked results back — fast, synchronous, no session or polling. Best for:
  • pulling ranked web results for a query
  • feeding results into your own downstream logic
  • fast fact-checking before a deeper lookup
See Search.

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Data Sources

Use Data Sources when you want a focused lookup against a specific provider or enrichment source instead of a full multi-step workflow. Best for:
  • LinkedIn profile and company lookups
  • Facebook pages, posts, groups, comments and reviews
  • Instagram profiles, posts, reels and mentions
  • YouTube search, channel videos, shorts and comments
  • Google Maps places and local businesses
  • email enrichment and validation
  • phone enrichment
  • Crunchbase company resolution
See Data Sources.

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How NeuralVerge works

Search, AI Extract and every Data Source are synchronous: you call them, the work runs inside the request, and the result comes back in the response. AI Research is the exception, because a run takes minutes rather than seconds:
  1. Start the run
  2. Receive a session_id
  3. Poll Get Session Status
  4. Read the result once the status is complete
Every response carries a session_id, so any run — synchronous or not — can be read again later.

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Response model

Depending on the endpoint, results can include:
  • human output for UI rendering or analyst review
  • machine output for downstream automation
  • execution metadata
  • points or usage data
  • session identifier for reading the run again

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Typical teams using NeuralVerge

NeuralVerge is commonly used by:
  • B2B SaaS products embedding research features
  • compliance and risk teams
  • operations and verification teams
  • internal analyst platforms
  • AI products that need execution and data retrieval, not just text generation

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Next steps