BaseRock is deployed in the client environment in their Kubernetes namespace - so it is all processed locally.
Yes, we support both on-premise and private cloud deployment options.
The agent is deployed as part of BaseRock.ai control plane. Yes, it can be deployed on Azure or any other cloud service provider like AWS, GCP, etc.
We are in the process of getting our SOC 2 compliance.
In OTEL based approach it’s the metadata and in github based approach it’s source code (read access only) and meta data.
Every data is stored in the client environment and duration can be configured.
The prompts are developed in a way where it only utilises the meta data just to create test cases and synthetic data.
On top of that our control plane is inside your VPC or on-premise and we can also deploy our fine tuned model in your environment or leverage AWS Bedrock or Azure OpenAI where you have agreements in place.
Since everything is processed locally, you can setup appropriate firewall rules to control access and prevent leakage.
If third-party LLMs are enabled for test generation, data may be shared with providers like Claude (Anthropic), Sonet, and Voyage. In such cases, DPAs are in place. No data is ever used for model training.
We are currently undergoing SOC 2 compliance. Measures include:
Comprehensive audit logging We are happy to share our internal data protection concept or SOC 2 summary upon request.
Not right now - it’s in future roadmap.
Not right now, this is an integration testing product. We will be releasing a new product for UI tests later this year.
Yes, we utilize test-profiles associated with respective environments for validations.
UI flows and real-time systems or hardware cannot be automated currently, however the underlying API calls and system interactions can be automated.
UI flows and real-time systems or hardware cannot be automated currently, however the underlying API calls and system interactions can be automated.
If it's source code - Typically it takes less than a day once the setup is completed.
If it's Open Telemetry (OT) - we want the client to run their regression test suite once so we discover all end points and scenarios at a minimum. This can be 2-3 days.
Even without OT, the tests are of very high quality. OT does gives us more realistic synthetic data, however our system can also learn from existing test suites to create appropriate synthetic data.
We have releases every 2 weeks, but you can expect pushes to customer environments maybe once every month or two.
Yes, it can adapt without complete training. QA team can use the Playbook feature to guide the system via simple natural language.
We store different versions of the test as we detect more code changes. The tests are automatically updated without human intervention. However, the QA team can audit and make adjustments as needed.
We integrated with all the CI/CD tools and can accommodate any specific requests that you may have.
Yes, it’s provided via our user interface.
UI flows and real-time systems or hardware cannot be automated currently, however the underlying API calls and system interactions can be automated.
Our fine-tuned large language model (LLM) is designed to generate optimal test cases that ensure high path coverage while avoiding unnecessary complexity in the codebase. In addition, we leverage static code analysis and Abstract Syntax Tree (AST) parsing to detect complex branches and conditionals, helping ensure comprehensive test coverage aligned with cyclomatic complexity.
Yes, we support both on-premise and private cloud deployment options.
Beyond code coverage, we assess logical depth and edge-case handling. The model is tuned to produce scenario-based test cases that reflect real-world behavior, not just surface-level paths. Test quality is also auditable through our dashboard, and generated tests can be benchmarked against historical regression failures or QA review inputs.
Yes, it supports both mono-repo and multi-repo setups. Frameworks supported include NestJS, Next.js, Vue.js, React.js, Django, Spring Boot, Go, and TypeScript-based stacks. Baserock’s system auto-detects the project structure and dependencies to intelligently select the appropriate framework and generate accurate tests.
Yes, tests can be regenerated and customized to suit your specific requirements. They are editable directly in the portal, and any test can be locked to prevent it from being overwritten during future test generation cycles.
A Java class that contains methods in your source code repository that you're testing against. We only count classes, regardless of the amount of methods it contains. Whether if your class contains 500 methods or 5 methods, it's still counted as one class.
You can shoot an email to help@baserock.ai and we'll send over a signup link!
Yes, we offer a trial period for both the Developer and Enterprise tiers to ensure the solution meets your needs. For more details, contact help@baserock.ai.
BaseRock.ai prioritizes data privacy and security across all plans. We adhere to industry best practices and compliance standards to ensure your data is secure. For specific security protocols related to each plan, please reach out to help@baserock.ai.
Yes, we offer discounts on a case-by-case basis and strive to accommodate your needs. For more details, contact us at help@baserock.ai.
Reach out to help@baserock.ai for seamless plan transitions. We'll guide you through the upgrade or downgrade process.
A Java class that contains methods in your source code repository that you're testing against. We only count classes, regardless of the amount of methods it contains. Whether if your class contains 500 methods or 5 methods, it's still counted as one class.
You can shoot an email to help@baserock.ai and we'll send over a signup link!
Yes, we offer a trial period for both the Developer and Enterprise tiers to ensure the solution meets your needs. For more details, contact help@baserock.ai.
BaseRock.ai prioritizes data privacy and security across all plans. We adhere to industry best practices and compliance standards to ensure your data is secure. For specific security protocols related to each plan, please reach out to help@baserock.ai.
Yes, we offer discounts on a case-by-case basis and strive to accommodate your needs. For more details, contact us at help@baserock.ai.
Reach out to help@baserock.ai for seamless plan transitions. We'll guide you through the upgrade or downgrade process.
