Nasuni Company Profile

nasuni.com. Nasuni is an unstructured data platform for enterprises where file data is necessary for both people and AI. Nasuni supports the files that ...

Industry: DataAI

Segment: Data Infrastructure

Team size: 501-1000

Competitors: NetApp, Egnyte, SharePoint, NetApp CVO

Generated by Kustiq, an AI company intelligence platform for B2B teams. Multi-stage pipeline: AI classification + live web scraping + SMTP-verified contacts + 12-factor rule-based churn engine.

Company profile

Nasuni

nasuni.com. Nasuni is an unstructured data platform for enterprises where file data is necessary for both people and AI. Nasuni supports the files that ...
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AI-verified profile

nasuni.com. Nasuni is an unstructured data platform for enterprises where file data is necessary for both people and AI. Nasuni supports the files that ...

Founded

2009

Employees

501-1000

AI Classification

DataAIData Infrastructure

Nasuni is an enterprise unstructured data management platform built on a cloud-native file data foundation (UniFS), providing global namespace, edge caching, ransomware protection, and AI-ready data activation for large enterprises. It targets IT and infrastructure leaders seeking to consolidate file storage across multi-cloud and hybrid environments.

Deep Intelligence

Account Scoring

Red Churn Risk

Social Links

Competitors

NetAppEgnyteSharePointNetApp CVO

How Kustiq built this profile

Hybrid pipeline: deterministic verification + Claude reasoning

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across {company site, LinkedIn, press, GitHub}.
  • Claude Sonnet 4.6 classifies vertical, segment, and growth signals; never used for facts.
  • 12-factor churn engine produces a deterministic risk score with zero LLM calls at scoring time.
  • SMTP RCPT TO handshake verifies every contact at delivery time on full profiles (paid plan).

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

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