Impromptu Launches Alchemy Models: The Next Wave of AI After Vibe Coding
SAN FRANCISCO – Impromptu AI, a company leading enterprises in the transition from a static SaaS to self-development of traditional AI systems, today announced Alchemy Models, a new capability that allows companies to create, train, and deploy their own production AI models by building internal and external AI applications that automatically build without any model training technology.
The launch addresses a growing gap in the current AI toolset. Businesses share their most valuable data with major model providers to compete in the commercial market. Businesses already use the subject matter knowledge needed to train models but lack the AI talent to capture it. To prevent disruption from model providers, subject matter expertise is key to creating an effective data moat. Alchemy closes that gap, adding custom model ownership on top of the application stack.
Companies spend billions of dollars hiring subject matter experts to write their own workflows to sell training data back to modeling providers. Companies already have the subject matter experts they need; who lack the infrastructure and AI technology to capture and use it effectively. Alchemy models incorporate that technology into an easy-to-use infrastructure.
“Right now, a lot of companies are hiring intelligence,” says Shanea Leven, CEO of Impromptu. “They send their proprietary data to someone else’s model and hope that the economics and policies will always agree. Alchemy gives them another option. They can build and be creative with their products. The model supplier is Amazon, and we all know about Toys R US in this situation. Except now, we know exactly what’s going on.”
The Impromptu platform uses a phased approach to custom model development. Businesses start by building AI-driven applications using natural language interfaces, which automatically collect high-quality training data through real-world applications. As the workflow generates results, subject matter experts label edge cases and validate the results, creating the accurate training data needed for optimization. This eliminates the usual obstacles of custom model training: no hand-picked data sets, no armies of data adversaries. Instead, companies use their existing workflows to generate training data continuously.
Alchemy simplifies what historically required a full machine learning team. Users define the task in natural language or through the Impromptu builder interface, and the platform handles the rest automatically by:
Generate synthetic and/or real data using Empromptu’s Golden Data Pipelines
Selecting and optimizing training datasets based on model performance
Empowering subject matter experts to discover and adjust results from real product workflows
Testing model results using automated test frameworks
Fine-tune base models for a specific task or application
Deploys to Impromptu cloud or customer infrastructure
You continuously improve the model using agent-driven training loops
The result is a production-ready model that improves over time as it learns from real-world use. No machine learning expertise is required.
“Right now, many companies say ‘no AI’ because they can’t control it,” said Leven. “When they can apply AI to their infrastructure, with their data and management policies, the conversation changes completely.”
The launch of Alchemy follows the recent expansion of the Impromptu platform, which introduced Golden Pipelines and AI Policies to bring data readiness and governance directly into the AI application development process. Together, these capabilities expand the platform across the full lifecycle of AI systems, from preparing data and building applications to enforcing control and training models, all within a single environment.
Alchemy is immediately available to enterprise customers using the Impromptu platform. Organizations interested in early access can register at impromptu.ai.
