Safety

Safety

Safety

Safety first.

always.

always.

always.

always.

always.

always.

Designed to protect your data, your workflows, and your business.

Safety isn't just a checkbox for us, it's a continuous journey we're deeply committed to. As we built the future of AI together, your trust remains our highest priority.

At Qomplement, we are building a desktop-native AI agent that users can trust to execute real workflows on their computers. From the beginning, we made safety a core priority, not just for compliance but because we believe trust is essential in this new era of computing.


Our agent interacts directly with the user interface, automating actions across legacy and modern apps. This level of control requires careful design. We have developed a multi-layered safety strategy to ensure Qomplement behaves responsibly and stays aligned with user expectations.


Safety by design
System of cardsOur architecture runs workflows in isolated execution blocks we call cards. This helps prevent prompt injections, jailbreaks, and unwanted behaviors by adding structure, visibility, and control to every action.


Curated datasets
We use only carefully reviewed data that excludes illegal, harmful, confidential, or misleading content. This ensures that the model's behavior remains grounded in safe and reliable sources.


Augmentation tuning


We apply tuning techniques that reinforce safe and predictable behaviors, helping the agent make better decisions across a wide variety of tasks.


At Qomplement, we are building a desktop-native AI agent that users can trust to execute real workflows on their computers. From the beginning, we made safety a core priority, not just for compliance but because we believe trust is essential in this new era of computing.


Our agent interacts directly with the user interface, automating actions across legacy and modern apps. This level of control requires careful design. We have developed a multi-layered safety strategy to ensure Qomplement behaves responsibly and stays aligned with user expectations.


Safety by design
System of cardsOur architecture runs workflows in isolated execution blocks we call cards. This helps prevent prompt injections, jailbreaks, and unwanted behaviors by adding structure, visibility, and control to every action.


Curated datasets
We use only carefully reviewed data that excludes illegal, harmful, confidential, or misleading content. This ensures that the model's behavior remains grounded in safe and reliable sources.


Augmentation tuning


We apply tuning techniques that reinforce safe and predictable behaviors, helping the agent make better decisions across a wide variety of tasks.


Human evaluation
Our team continuously reviews the model's behavior and output. We focus both on minimizing risks and promoting helpful and respectful responses in real-world scenarios.


Safety measurement
We track internal safety performance using dedicated metrics. This allows us to detect issues early and make improvements continuously.


User feedback loop
We encourage users to flag any concerns. This feedback directly informs our improvements and helps us keep Qomplement aligned with users' needs.


We believe AI agents should be powerful, aligned, and trustworthy. Our goal is to build one agent for everyone that operates securely across any desktop application. Safety will always be a central part of how Qomplement is built and how it grows.


As qomplement evolves, we are committed to raising the bar on what safe AI looks like. We will continue investing in the systems, people, and processes that ensure our technology empowers users without compromising trust. Responsible AI is not just a feature. It is the foundation of everything we do

Human evaluation
Our team continuously reviews the model's behavior and output. We focus both on minimizing risks and promoting helpful and respectful responses in real-world scenarios.


Safety measurement
We track internal safety performance using dedicated metrics. This allows us to detect issues early and make improvements continuously.


User feedback loop
We encourage users to flag any concerns. This feedback directly informs our improvements and helps us keep Qomplement aligned with users' needs.


We believe AI agents should be powerful, aligned, and trustworthy. Our goal is to build one agent for everyone that operates securely across any desktop application. Safety will always be a central part of how Qomplement is built and how it grows.


As qomplement evolves, we are committed to raising the bar on what safe AI looks like. We will continue investing in the systems, people, and processes that ensure our technology empowers users without compromising trust. Responsible AI is not just a feature. It is the foundation of everything we do

From maual to

autonomous.

autonomous.

Start today.

From maual to

autonomous.

autonomous.

Start today.

From maual to

autonomous.

autonomous.

Start today.

600 California St, 11th Floor
San Francisco, CA 94108
United States

Qomplement software and AI models are the property of Qomplement Inc., a company registered in the State of Delaware, USA.

© 2025 QOMPLEMENT

600 California St, 11th Floor
San Francisco, CA 94108
United States

Qomplement software and AI models are the property of Qomplement Inc., a company registered in the State of Delaware, USA.

© 2025 QOMPLEMENT

600 California St, 11th Floor
San Francisco, CA 94108
United States

Qomplement software and AI models are the property of Qomplement Inc., a company registered in the State of Delaware, USA.

© 2025 QOMPLEMENT