2026 · Feb 1
Improved navigation for extreme weather and streamlined hardware for cost efficiency.

Making it safe and easy for people & things to get around with autonomous vehicles
93
Overall score
54
Heat score
No pricing plans published yet.
Inputs
Sensor Data, Mapping Data, Environmental Scans, Traffic Information
Outputs
Autonomous Navigation, Route Optimization, Safety Predictions, Traffic Avoidance Recommendations
AI Type
Autonomous Driving
Model Architecture
Custom/Proprietary
Daily Prompts
N/A
Context Length
N/A
Accuracy
94%
Content
80%
Reasoning
93%
Company
Waymo
Founded
2016
HQ
Mountain View, California
Employees
10K
Total Raised / Total Funding
$16B
Revenue
$2B
Valuation
$126B
ARR
$2.4B
CEO
Tekedra Mawakana, Co-CEO; Dmitri Dolgov, Co-CEO
Estimated Paid Users
1M
Current estimate
Total Earnings Till Date
$1B
+11.11% from last month
Market Share
15%
Current share
Average Session
N/A
Per active user
Hallucination Rate
80%
Model quality signal
Growth Rate
+11.11%
Monthly active users
Burn Rate
$500M
Total expenses / years active
Paid User Gain
+200.00%
Monthly paid user trend
$300M
Total Loss
$0
Total Profit
$525M
Accuracy
94%
Context
80%
Reasoning
93%
Safety
98%
Safety Metrics
95%
Type: Autonomous Navigation
Description: Advanced AI system for full autonomous operations in urban settings.
Architecture: Custom/Proprietary
Total Funding
$16B
Rounds
2
Series C
$5.6BFeb 2026
Valuation $45 billion, led by Alphabet.
Other
$16BFeb 2026
Valuation $126 billion.
Anthony Levandowski
Co-founder
John Krafcik
Co-founder, former CEO
No direct competitors available.
2026 · Feb 1
Improved navigation for extreme weather and streamlined hardware for cost efficiency.
Industry: Automation
Compliances: Not specified
Integrations: Lyft, Fiat Chrysler
Support:email
Target audience: Autonomous Vehicle Users, Tech Companies, Logistics Providers, Urban Commuters, Ride-Hailing Services, Fleet Managers
Supported languages: English
No acquisition records available.
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Waymo's AI uses extensive sensor data and machine learning for superior safety and reliability in diverse urban environments.
Pricing is competitive but premium, with dynamic adjustments based on demand and service areas.