RocketRide provides an AI runtime and meta-harness built on a C++ engine, enabling developers to build, stage, test, release, and maintain AI pipelines through a declarative pipeline file rather than fragmented framework glue code. The platform includes a visual Pipeline Studio, per-run tracing, and self-hostable open-source engine, with RocketRide Cloud offering managed deployment and metered billing. It targets professional developers who need production-grade AI infrastructure with portability and observability.
Funding
Funding not disclosed
Founders
Product
Problem
AI development teams face compounding technical debt from sprawling framework glue code, brittle custom stacks that break when key developers leave, and poor observability across multiple AI agents—making it difficult to know which pipelines are working, failing, or costing money.
Solution
RocketRide provides an AI meta-harness built on a C++ runtime that replaces fragmented workflow wrappers with a single declarative pipeline file. Developers can design, run, and trace pipelines in a visual Pipeline Studio or delegate changes to coding agents, with both editing the same .pipe file for seamless collaboration. The engine is self-hostable and open source, while RocketRide Cloud offers fully managed deployment with predictable costs and true portability. Every run keeps a detailed trace of component calls, durations, and data flow, enabling rapid debugging and rollback through immutable audit trails.
Target Audience
Professional developers and engineering teams building production AI pipelines who prioritize craftsmanship, portability, and observability, including those running multiple AI agents across teams.
Features
- C++ runtime engine with concurrency, backpressure, and stage isolation designed for petabyte-scale data processing
- Declarative .pipe pipeline files that eliminate framework glue code and reduce attack surface
- Visual Pipeline Studio with drag-and-drop canvas that syncs with coding agent edits in real time
- Per-run tracing capturing component calls, timing, and data passed through each stage
- Rollback via repointing rather than rebuilding, with immutable audit trail
- Database node that auto-generates SQL, supporting nineteen data stores on one canvas
- Self-hostable open-source engine with no vendor lock-in, plus managed RocketRide Cloud option
- VS Code extension for building pipelines directly from the terminal