Nova AI

Your Quality
Assurance Co-Pilot

Your Quality
Assurance
Co-Pilot

end to end Assurance

Automatic test generation

Automated testing streamlines writing, running, and maintaining E2E tests, ensuring robust coverage and efficiency across projects of any scale.

Similar to internal tooling at Google, Nova builds a complete graph that maps source code to end to end tests. This way, only the tests directly affected by a change are run - no guess work needed.

Devices and runtimes are ephemeral and on-demand. Nova will automatically bring up various devices to ensure that tests run in parallel, across different devices, and finish as fast as possible.

code, decoded

Understand all of your source code

Code understanding with generative AI enables intuitive code interaction, large-scale modifications, and deep insights, regardless of the number of code repositories.

Code Interaction. visualization showing a code block and a conversation between a user and an agent.

Modernize your repos

Legacy code refactoring

Transform legacy code from languages like COBOL to modern languages such as Java, enhancing performance, maintainability, and enabling integration with contemporary technologies.

$A graph showing the amount of legacy code that has been refracted by the Nova agent.$

Deep Semantic Understanding

Our machine learning algorithms and large language models (LLMs) provide a deep understanding of source code by accurately identifying complex code relationships, enabling precise analysis and optimization.

Quality and Readability

We improve code quality and readability by
implementing automated refactoring and style consistency checks, ensuring that code adheres to best practices and is easily understandable.

Fully Managed

Our fully managed service maintains development environments and emulation setups, ensuring seamless and consistent testing and deployment processes without the need for manual intervention.

Works with all of your existing tools