We build high-performance, AI-native software for musicians and engineers. No Electron, no cloud lock-in. Just pure C++, on-device intelligence, and tools that feel like instruments — built by the people who use them.
Software that runs on your machine, respects your work, and pushes what's possible with on-device AI. Built for people who ship — not VCs who pitch.
The AI-native digital audio workstation.
Compose, produce, and mix with a deeply integrated assistant that understands music theory, automation, and your creative intent. Built on JUCE and Tracktion Engine for studio-grade performance.
Local-first AI coding assistant.
A single 3.2 MB C++17 binary. 59 tools, 84 commands, multi-agent collaboration, RAG, Team Mode and voice I/O — running on your GPU via llama.cpp + CUDA, or any API you choose.
From the audio engine to the inference loop — the same DNA runs through everything we ship.
Written in modern C++17/20. No VM, no garbage collector, no Electron. <5 ms latency real-time audio. GPU inference at native speed. Lock-free audio threads. SIMD-optimized DSP.
Your projects, your prompts, your data — they stay on your hardware. Cloud is an option, never a requirement. Designed to work offline. No telemetry. No accounts. No subscriptions.
Built for people who actually ship. VST3/CLAP, MIDI 2.0, multi-track recording, MCP protocol, RAG, multi-agent collaboration. Every feature earned its place in real production workflows.
MIT-licensed source. Open file formats. MCP, CLAP, VST3, SoundFont 2, GGUF, ONNX — every interface that touches your work is public, documented, and will outlive us.
AI is a tool you control, not a service you rent. Run open-weight models on your own hardware, or connect to any provider — Anthropic, OpenAI, local llama.cpp. You decide.
A single binary. Long-term-supported languages. No deprecated frameworks. You can compile the source from a 2026 commit on a 2036 machine and it will still produce audio.
Modern C++ foundations chosen for performance, portability, and long-term viability. Every dependency is auditable, vendor-able, and survives the next framework hype cycle.
Whether you're scoring a film, refactoring a million-line codebase, or just sketching on a weekend — the tools meet you where the work happens.
Drag a video reference into Blitz. Ask the AI to write a 3-minute orchestral cue — D minor, 92 BPM, brass swell at 1:14. Render stems. Hand to mix. The AI never uploads a single sample — your unreleased score stays in the DAW.
Boot CloseCrab, point it at your repo. Three agents index the call graph, trace dead code, and propose a migration plan — all on your local GPU within the 1M context window. Source never leaves the machine.
Hit Ctrl+K, key in a chord, tell the AI to side-chain the bass to the kick. Layer Shimmer Verb on the lead, Tape Warble on the keys. The full loop is done before a browser DAW finishes loading.
CloseCrab Team Mode spawns multiple agents that share a cache, split the work, and merge results. Architect the system, write tests, fix lint — in parallel, on your hardware, with no rate limits.
Most AI creator tools today are SaaS wrappers — renting GPU time, locking features behind subscriptions, hoarding your data. We are different.
| Feature | Blitzball Labs | Typical SaaS DAW | Cloud AI agent |
|---|---|---|---|
| Runs offline | ● Yes | ○ No | ○ No |
| Source code | ● MIT open source | ○ Proprietary | ○ Proprietary |
| Your data leaves machine | ● Never (your choice) | ◐ Telemetry on | ● Always |
| AI on your hardware | ● llama.cpp + CUDA | ○ Cloud only | ○ Cloud only |
| Bring your own model | ● Any GGUF / API | ○ Vendor model | ◐ Limited |
| Rate limits | ● None (your GPU) | ◐ Tier-based | ● Yes |
| Audio latency | ● <5 ms native | ◐ Browser audio | — |
| Subscription | ● Free, MIT | ○ $20–$60/mo | ○ Per-token |
Early adopters from the beta cohort — musicians, engineers, and indie developers who switched from cloud-bound alternatives.
What blew me away was the latency — press a key, the sound is there. For the first time in years, I didn't feel my computer standing between me and the music in a DAW.
CloseCrab runs a 7B model on my old 3060 and still beats most cloud agents on real refactors. It's a 3 MB binary. That's ridiculous.
I went from zero to finished track in 35 minutes with Blitz. Drums, bass, keys, mix, master. I haven't been that fast since hardware sequencers.
"The best creative tools don't ask for your data — they amplify your intent. We build software that runs where you are, listens to what you say, then gets out of the way."
Independent measurements on consumer hardware. Source and reproduction steps published with every release.
From a weekend experiment to a coherent suite of native AI software.
JUCE audio engine prototype. First experiments with on-device LLM inference via llama.cpp. A one-person side project — no roadmap, no funding, no slide deck.
Local C++ inference engine with RAG and streaming MoE. First merge of CLI tooling and C++ runtime. 40 tools shipped in the first month.
AI-native DAW with 261 instruments, Faust DSP, and natural-language composition. VST3/CLAP support online. First Musical-Typing playable build.
CloseCrab-Unified merges 59 tools, 84 commands, MCP, Team Mode, voice I/O, and skills into a single 3.2 MB binary. Full 1M-token Claude Opus context.
Cross-app collaboration: Blitz ↔ CloseCrab via MCP. Local fine-tuning of small music models. macOS-native build. AU plugin support. Web bridge for collaborative sessions.
What people actually ask before downloading.
Try the tools that engineers and producers reach for when performance and privacy actually matter. Free, open source, runs on your machine.