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Encord Tech Stack

Data curation and labeling platform for physical AI systems

Software Development San Francisco, California 201–500 employees Founded 2021 Privately Held
encord.com LinkedIn

Encord builds infrastructure for preparing multimodal data (video, 3D, sensor streams) into production-ready training sets for robotics, autonomous vehicles, and computer vision systems. The stack is heavy on ML libraries (PyTorch, TensorFlow, OpenCV) and real-time rendering (WebGL, CUDA, Kubernetes), with active hiring skewed toward senior engineering (21 roles) and enterprise sales (11 roles) — indicating a shift from product-led adoption toward land-and-expand with large industrial customers.

Tech Stack 36 technologies

Core StackReact Python GraphQL PyTorch TensorFlow AWS Kubernetes Salesforce HubSpot TypeScript PostgreSQL ClickHouse Rust Google Ads LinkedIn Ads NumPy OpenCV Keras GCP CUDA WebGL Ray SAST DAST Azure Canvas LinkedIn Recruiter LinkedIn Sales Navigator Apollo HexNode+6 more

What Encord Is Building

◆Challenges

  • Web browser performance
  • Building pipeline from target accounts
  • Improving platform performance
  • Scaling physical ai business
  • Fast and reliable operations at massive scale
  • Large-scale efficient data transfer
  • Scaling internal tools
  • Deepening engagement with existing customers
  • Managing lead routing and enrichment
  • Scaling complex domains

▲Active Projects

  • Pipeline strategy for target enterprise accounts
  • Deployment and adoption of encord
  • High-performance 3d/4d scene rendering
  • End-to-end product ownership
  • Internal tools for scaling
  • Editor interface for multi-modal data annotation
  • Conference and field event strategy
  • Build data integrations
  • Co-marketing programs with technology partners
  • Build and scale physical ai business

Hiring Activity

Accelerating50 roles · 50 in 30d

Department

Engineering
21
Sales
11
Marketing
9
Data
4
Support
3
Product
2
HR
1
Ops
1

Seniority

Senior
37
Mid
11
Junior
3
Manager
1
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About Encord

Encord is a data curation platform for physical AI teams. The product focuses on turning unstructured video and sensor data into labeled, aligned training datasets. The company operates across robotics, autonomous vehicles, and smart infrastructure verticals, serving mid-market and enterprise customers who need to manage annotation workflows, enforce data quality standards, and integrate with model training pipelines. The business spans three US/UK offices and has closed $110M in funding.

HeadquartersSan Francisco, California
Company Size201–500 employees
Founded2021
Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Encord use?

Core ML libraries (PyTorch, TensorFlow, OpenCV, Keras), cloud infrastructure (AWS, GCP, Azure, Kubernetes), real-time rendering (WebGL, CUDA), and data storage (PostgreSQL, ClickHouse). TypeScript and React for frontend; Python for backend and ML workflows.

Where is Encord headquartered?

San Francisco, California. Additional offices in New York and London. Currently hiring across United States and United Kingdom.

How this profile is built

Encord's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.