Designed for autonomous music systems and structured creativity.

An AI music agent that can listen, analyze, and refine your track autonomously.
Autonomously analyzes musical context, resolves common mix and arrangement issues, and handles complex decisions in minutes.
Approvals, diffs, and a full change history keep every musical decision reversible and aligned with your creative vision.
Continuously learns your taste, references, and workflow across projects to make better musical decisions over time.
Delivers full musical context with proposed changes and rationale so you never lose momentum or creative intent.
Continuous, music-aware simulations run on each edit to verify groove, balance, and structure before render.
Creates validation scenarios from your latest musical changes.
Verifies groove, balance, and dynamics on every edit.
Clear pass/fail signals before export.
Results appear directly in your timeline.
Pulse builds a memory of every creative decision,
so your music evolves instead of repeating itself.
Built for artists and studios who demand control, privacy, and trust by default.
Set approval rules so agents only act when and how you want them to.
Designed for real sessions, real deadlines, and production-grade workflows.
Your music never trains public models. You own every output, always.
Run agents locally, in the cloud, or both — fully under your control.
Our smartest models capable of simulating how code runs
A new category of models built to understand and predict how large codebases behave in complex, real-world scenarios.
ResearchCayuse achieves significant efficiency gains by automating ticket triage and resolution workflows.
Case StudyA new, AI-powered approach to operating software reliably that anticipates how code will behave before deployment.
Resources