Waystone provides an enterprise platform that centralizes reusable AI‑driven skills, agents, and commands in organization‑wide libraries that automatically sync to every developer machine. Specialized agents automate security audits, deployments, bug fixes, test creation, and documentation, while integrated CI/CD pipelines enforce coding standards and manage staged production releases. The solution also offers unified logging and analytics plus a private on‑prem CI/CD stack for secure, compliant delivery of AI‑generated software across the organization.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises building AI‑assisted software often face fragmented tooling, ad‑hoc scripts, and inconsistent coding standards, making it difficult to scale AI‑generated code across teams and environments.
Solution
Waystone offers a platform that centralizes reusable AI skills, agents, and commands in organization‑wide libraries that automatically synchronize to every developer machine. Purpose‑built agents handle tasks such as security auditing, deployment, bug fixing, test generation, and documentation, enabling AI‑driven development to be repeatable and auditable. Integrated CI/CD pipelines enforce coding standards and manage staging and production deployments, while unified logging and analytics provide end‑to‑end observability of AI‑generated applications. For on‑prem or private cloud environments, Waystone delivers a full private network CI/CD stack, ensuring secure, compliant delivery of AI‑native software across the organization.
Target Audience
Waystone targets engineering organizations and enterprise development teams that need to scale AI‑assisted coding practices, maintain consistent standards, and automate deployment of AI‑generated software.
Features
- Centralized skills library with versioned agents, commands, and hooks that auto‑update across all workstations
- Specialized agents for security audits, automated deployments, bug remediation, test authoring, and documentation generation
- Enforced coding standards and gated promotion through staging to production environments
- Unified observability platform aggregating logs and metrics for AI‑generated applications from development through production
- Private on‑prem CI/CD infrastructure for secure, end‑to‑end deployment of AI‑native code
- Extensible framework for building custom agents and integrating with existing development toolchains