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Encord Company Profile

Encord is the multimodal data layer for physical AI. Manage, curate, annotate, and align petabytes of data - from sensor streams to video to text. Trusted by 300+ AI teams including Woven by Toyota, AXA, UiPath, Zipline, and more.

Industry: DataAI

Segment: Data Infrastructure

Team size: 201-500

Funding: Series C

Competitors: Kognic, Labelbox

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

Encord

Encord is the multimodal data layer for physical AI. Manage, curate, annotate, and align petabytes of data - from sensor streams to video to text. Trusted by 300+ AI teams including Woven by Toyota, AXA, UiPath, Zipline, and more.
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AI-verified profile

Encord is the multimodal data layer for physical AI. Manage, curate, annotate, and align petabytes of data - from sensor streams to video to text. Trusted by 300+ AI teams including Woven by Toyota, AXA, UiPath, Zipline, and more.

Employees

201-500

Funding

Series C ($60M)

AI Classification

DataAIData Infrastructure

Encord is a multimodal data platform for physical AI teams, providing annotation, curation, and alignment tooling across video, LiDAR, audio, and sensor fusion data. It serves 300+ AI teams building systems for autonomous vehicles, robotics, drones, and smart spaces, with both a self-serve platform and managed data services.

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Social Links

Linkedin

Competitors

KognicLabelbox

Encord is profiled by Kustiq, an AI company intelligence platform for B2B teams. Encord is one of 56 data infrastructure companies in our Data & AI directory. Similar profiles include Gorgias, Your No. 1 Choice in Premium Sales Intelligence, Ada, and Hightouch.

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.

Part of 3,020 AI-profiled B2B companies. Browse the full directory