Generative AI is creating a paradigm shift in application development. The future is intelligent, autonomous agents that can understand complex goals and execute them by dynamically creating and evolving their own data models.
This new era requires a database built from the ground up to handle rapid, parallel experimentation and constant change.
StatelyDB is the only database architected for the unique demands of AI-driven development.
Traditional databases are rigid and brittle, designed for a world where data models are static and changes are infrequent and risky. This model is fundamentally incompatible with the speed of AI. As highlighted in our post, "The Future of Software Development is Agentic," our current infrastructure was built for human developers working sequentially, not for AI agents operating in parallel.
When AI agents need to experiment, they require the freedom to change their data models on the fly. In a conventional database, this would create an operational nightmare, grinding development to a halt.
StatelyDB's Elastic Schema™ solves this problem. It is the only schema system designed for a world where multiple versions of a data model must operate in parallel without conflict.
Empower your AI agents to be truly autonomous. With Elastic Schema, agents can independently and safely evolve the data models they need to accomplish their goals. If an agent needs to add a new field, change a data type, or create an entirely new object, it can do so without breaking existing functionality or requiring human intervention. This makes the cost of mistakes zero, or so small that it doesn't matter, enabling the rapid, throwaway experimentation that is core to how agents work.
Empower your AI agents to be truly autonomous. With Elastic Schema, agents can independently and safely evolve the data models they need to accomplish their goals. If an agent needs to add a new field, change a data type, or create an entirely new object, it can do so without breaking existing functionality or requiring human intervention. This makes the cost of mistakes zero, or so small that it doesn't matter, enabling the rapid, throwaway experimentation that is core to how agents work.
Remove the database as a bottleneck to innovation. Multiple AI agents—or human developers—can work on different features in parallel, each creating new schema versions as needed. Because all versions are backwards- and forwards-compatible, these parallel tracks of development can proceed without interfering with one another, dramatically accelerating your roadmap. An agent system can spin up twenty different approaches simultaneously, test them all, and iterate on the most promising ones—a level of parallel exploration humans simply can't match.
Remove the database as a bottleneck to innovation. Multiple AI agents—or human developers—can work on different features in parallel, each creating new schema versions as needed. Because all versions are backwards- and forwards-compatible, these parallel tracks of development can proceed without interfering with one another, dramatically accelerating your roadmap. An agent system can spin up twenty different approaches simultaneously, test them all, and iterate on the most promising ones—a level of parallel exploration humans simply can't match.
The creative process of building new features often starts with an idea—a "vibe." StatelyDB, combined with modern AI assistants, can turn that vibe into a valid, production-ready data model in seconds. Our Model Context Protocol (MCP) Server integrates with tools like Claude Desktop, allowing AI to conversationally design, validate, and publish new schema versions, creating a seamless feedback loop between idea and implementation.
The creative process of building new features often starts with an idea—a "vibe." StatelyDB, combined with modern AI assistants, can turn that vibe into a valid, production-ready data model in seconds. Our Model Context Protocol (MCP) Server integrates with tools like Claude Desktop, allowing AI to conversationally design, validate, and publish new schema versions, creating a seamless feedback loop between idea and implementation.
When AI agents need to experiment, they require the freedom to change their data models on the fly. In a conventional database, this would create an operational nightmare, grinding development to a halt.
StatelyDB's Elastic Schema™ solves this problem. It is the only schema system designed for a world where multiple versions of a data model must operate in parallel without conflict.
When AI agents need to experiment, they require the freedom to change their data models on the fly. In a conventional database, this would create an operational nightmare, grinding development to a halt.
StatelyDB's Elastic Schema™ solves this problem. It is the only schema system designed for a world where multiple versions of a data model must operate in parallel without conflict.
Empower your AI agents to be truly autonomous. With Elastic Schema, agents can independently and safely evolve the data models they need to accomplish their goals. If an agent needs to add a new field, change a data type, or create an entirely new object, it can do so without breaking existing functionality or requiring human intervention. This makes the cost of mistakes zero, or so small that it doesn't matter, enabling the rapid, throwaway experimentation that is core to how agents work.
Remove the database as a bottleneck to innovation. Multiple AI agents—or human developers—can work on different features in parallel, each creating new schema versions as needed. Because all versions are backwards- and forwards-compatible, these parallel tracks of development can proceed without interfering with one another, dramatically accelerating your roadmap. An agent system can spin up twenty different approaches simultaneously, test them all, and iterate on the most promising ones—a level of parallel exploration humans simply can't match.
The creative process of building new features often starts with an idea—a "vibe." StatelyDB, combined with modern AI assistants, can turn that vibe into a valid, production-ready data model in seconds. Our Model Context Protocol (MCP) Server integrates with tools like Claude Desktop, allowing AI to conversationally design, validate, and publish new schema versions, creating a seamless feedback loop between idea and implementation.
When AI agents need to experiment, they require the freedom to change their data models on the fly. In a conventional database, this would create an operational nightmare, grinding development to a halt.
StatelyDB's Elastic Schema™ solves this problem. It is the only schema system designed for a world where multiple versions of a data model must operate in parallel without conflict.
StatelyDB is more than just a database; it's a foundational component for building next-generation intelligent applications.
Our infrastructure is designed for a future where you want failures to happen fast, cheap, and often.
Our infrastructure is designed for a future where you want failures to happen fast, cheap, and often.
StatelyDB is more than just a database; it's a foundational component for building next-generation intelligent applications.
StatelyDB is more than just a database; it's a foundational component for building next-generation intelligent applications.
Our infrastructure is designed for a future where you want failures to happen fast, cheap, and often.
StatelyDB is more than just a database; it's a foundational component for building next-generation intelligent applications.
The agentic era is here. Don't let your database hold you back.