Artillery vs Adept AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Artillery

GrowthSoftware Testing

Modern Load & Smoke Testing

Artillery is a modern open-source load testing and smoke testing tool built for cloud-native architectures, supporting HTTP, WebSockets, and custom protocols.

About

Artillery is a modern open-source load testing and smoke testing framework designed for cloud-native application architectures, offering a YAML-first test definition syntax that makes performance tests readable and maintainable alongside application code. Artillery was built with the philosophy that load testing configuration should be version-controlled, code-reviewed, and treated as a first-class artifact of the software development process rather than a one-off script someone runs before a big launch. Its YAML scenario definitions express traffic patterns, virtual user flows, request sequences, and ramp-up profiles in a format that is readable by engineers who did not write the test, making load test maintenance a team responsibility rather than tribal knowledge held by a single performance specialist.

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Adept AI

EmergingAI Infra

AI Agents

Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.

About

Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.

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