Overall Ranking

Traffic Ranking

Investment Ranking

Fallers Ranking

Ranking by Popular rankings

All rankings in Popular rankings

Mapping the Dutch AI Landscape: Key insights from our latest report

Mapping the Dutch AI Landscape: Key insights from our latest report

The Dutch AI sector is evolving at a remarkable pace, with many new tools and companies emerging every year. But where are these AI innovations taking place, which industries are leading the way, and which companies are gaining the most traction?

Why we started RankmyAI

Why we started RankmyAI

When AI tools like ChatGPT exploded in 2023, tracking the fast-changing landscape became a challenge. We built RankmyAI to bring structure with data-driven rankings and insights—cutting through hype and showing AI’s full impact. This is just the beginning, and we’re excited to make AI insights more transparent, accessible, and valuable.

overall

out of 46963

+10

traffic

out of 46963

-58

investment

Not Available

review

Not Available

These rankings are based on data from August 2025

Company

ZASTI

Years in business

8

Number of employees

11-50 employees

Country

United States

Zasti ATOM is an AI-powered platform for carbon management, offering assessment, optimization, and compliance reporting for emissions. It integrates with AWS and Azure, providing a subscription-based service for businesses to meet sustainability goals.

API Availability

Unknown

Pricing

unknown

Use

carbon footprint analysis

carbon footprint reduction

compliance monitoring & reporting

Industries

agriculture

health & sports

natural resources & industries

Integrations

aws

azure

Security protocols

epa

ghg

ipcc

sec

Position of ZASTI on sub rankings

August 2025

carbon footprint analysis - Overall

19 out of 27

carbon footprint analysis - Overall

19 out of 27

Company

ZASTI

Years in business

8

Number of employees

11-50 employees

Country

United States

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Insights

AI Emotion Recognition Tools: How to Choose the Right Fit Across Voice, Face, and Text

AI Emotion Recognition Tools: How to Choose the Right Fit Across Voice, Face, and Text

Emotion recognition is moving from research labs into real products that listen, watch, and read for signals of human feeling. This guide explains what these tools do, where they shine, and how to pick a solution that fits your goals and constraints.

AI Model Training Tools: How to Pick the Right Platform for Your Team

AI Model Training Tools: How to Pick the Right Platform for Your Team

Choosing an AI model training platform can feel overwhelming. Options range from no-code builders to code-first MLOps stacks, each promising speed, accuracy, and lower costs. This guide breaks down how model training tools work, where they differ, and what to check before you commit.