TechCrunch · Jul 2026
TechCrunch reports on Encord's physical-AI data experiments, including brain-wave headsets, forearm sensors, and internal pilot facilities in San Leandro.
Building the data backbone for the (artificial) intelligence…
Company research
Public company, workplace, funding, and market signals
Overview
Encord is an AI-native data infrastructure platform for multimodal and physical AI, used to curate, annotate, evaluate, and collect training data from development through production.
Primary product
AI-native multimodal data infrastructure platform (annotation, curation, evaluation, and data collection)
Founded
2021
Headquarters
San Francisco, California, United States
Team size
100-150
Work style
Hybrid
Industry
Software Development
Sub-industry
AI infrastructure / multimodal data infrastructure
Offices
San Francisco, California, United States (HQ)
New York, New York, United States
London, England, United Kingdom
90 Paul St, London, England, United Kingdom
Rybnik, Silesian Voivodeship, Poland
San Leandro, California, United States (R&D / data-collection facility)
Business model
enterprise SaaS
platform software
data services
annotation services
collection services
Funding
Stage
Series C
Total raised
$110.1M
Latest round
Series C · Feb 2026
Latest amount
$60M
People & investors
Leadership
CEO & Co-Founder
Co-Founder & Co-CEO
VP of Product Engineering
Head of Machine Learning
Head of Human Data
Vice President Finance
Carl Bager
GTM Engineering Lead
Shivant Maharaj
Post-Sales Lead, Physical AI
Matt Tang
Head of Robotics Operations
Nick R.
Director, US / Head of Physical AI
Ali Raza
Lead DevOps Engineer
Work & culture
High-agency, fast-moving, and ambitious; the company emphasizes self-awareness, hunger to learn, problem-solving, and a strong in-person culture.
Work style
Hybrid
Visa sponsorship
Limited
Compensation
Public recruiting signals emphasize competitive salary, equity, and commission for some GTM roles; no public salary bands were found.
Benefits
equity
monthly team events
bi-annual offsites
annual learning and development stipend
25 days PTO (UK)
private health insurance (UK)
payroll giving scheme
cycle-to-work scheme
home & tech scheme
team lunch twice a week
strong in-person culture
Product & market
Pricing
Tiered plans for individuals, teams, and enterprise customers, with custom enterprise deployment options.
Differentiators
- —multimodal data support across video, image, audio, LiDAR, text, documents, geospatial, and HTML
- —API/SDK-first workflow
- —zero data migration / data stays in customer cloud
- —end-to-end pipeline from collection to annotation to evaluation
- —physical AI focus with production-scale multimodal infrastructure
- —native agent integrations and model-in-the-loop curation
Technology
Python
React
Ruby
TypeScript
JavaScript
Java
GraphQL
SQL
PostgreSQL
Docker
AWS
PyTorch
TensorFlow
Keras
OpenCV
CUDA
ClickHouse
HubSpot
Salesforce
Zendesk
Customers
Woven by Toyota
Toyota
Skydio
Maxar
UiPath
AXA
Synthesia
Philips
Northwell Health
Standard AI
Zipline
Vantor
Floy
Competitors
Scale AI
Labelbox
SuperAnnotate
Roboflow
V7
Scale & contact
Estimated revenue
USD 1M-$10M
Estimated monthly visits
252K
Traffic estimate as of Jun 2026
Latest news
Encord blog · Jul 2026
Recaps Encord's joint webinar with NVIDIA on Cosmos 3 running natively inside Encord to auto pre-label egocentric robot video, with a live demo of a physical-AI annotation pipeline.
Encord blog · Jun 2026
Launches Merlin beta, an agentic intelligence layer embedded into tools like Claude and Codex to streamline data workflows inside Encord.
Encord blog · Jun 2026
Announces native hosting of NVIDIA Cosmos Reason 2 and Embed inside Encord for automated prelabels and behavior-based search over physical-AI video.
Encord blog · Feb 2026
Encord raised a $60M Series C led by Wellington Management, taking total funding to $110M and highlighting rapid growth in physical-AI usage.
Jobs and careers at Encord
0 jobs at Encord
No open positions
Check back later for new openings