Free
$0Free plan available.
Genval allows developers to model software systems in English, then use AI to generate derivative works like interfaces, services, and infrastructure as code. It empowers developers and architects with AI-driven code generation, refactoring, and development tools, integrating seamlessly with GitHub to transform software development workflows.
Model your software systems using English, then utilize Genval AI to generate derivative works such as interfaces, services, and infrastructure-as-code. Connect the platform with GitHub to streamline your development workflow.
Genval AI is a tool for developers and architects looking to manage their code repositories more efficiently. It enables users to modify multiple files within a repository via a single prompt, making it suitable for adding features, refactoring, updating dependencies, migrating languages, and upgrading versions.
Unlike standard LLM code generators, Genval AI processes entire filesystems as input, allowing it to reason across multiple files simultaneously. This facilitates multi-file updates based on a single prompt. The platform utilizes advanced commercial models, including Amazon Bedrock with Anthropic Claude 3.5.
Genval AI is not a traditional Low Code or No Code platform. While it does not require manual coding, users must understand software development to use it effectively. You provide instructions in English, but you must determine which code files should be in scope and define the desired outcome for each task.
DCD is a methodology developed by Genval AI where most code artifacts are derived from a system definition or source of truth. This approach enhances agility by allowing technical teams to focus on defining system or business requirements rather than manually building models, interfaces, and implementations.
A Task is a single prompt where you provide instructions for an LLM to modify a specific set of files. A Process is a sequence of tasks, used to create pipelines that implement Derivative Centric Development techniques.
Credits are consumed based on the complexity and size of the tasks performed. Tasks involving larger codebases or higher complexity will require more credits.
Yes, you can upgrade, downgrade, or cancel your subscription at any time via your account dashboard.
If you run out of credits, you can purchase additional ones or upgrade your plan. Your account will not be charged automatically.
No, all plans are billed on a monthly basis and can be canceled at any time. There are no long-term contracts.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Genval AI.
Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Gemini 3.1 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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