Music Engineering,
reimagined

Music is as complex as life itself

It involves multiple layers of interaction, whether it's between different instruments, harmonic structures, or rhythms. Therefore, we are using computational biology algorithms and neural models which are better suited to handle spatial (e.g., melody, harmony,) and temporal (e.g., rhythm, tempo) dimensions. The neural models condition the algorithm, creating a synergy.

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Indie electronic
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Neon pulse 2010

What Is Snowcrash?

An AI music engineering company equipped with advanced models for the music industry.

The first dynamic GenAI music copyright checker has arrived.

We Transcribe WAV To MIDI To Find Clear To The Ear Actionable Signs Of 2 Controversial Copyright Issues:

Copyright infringements (exit)

Copyright evasion techniques (universal indexing)

A professional tool that bridges the gap
between an idea and a masterpiece

To empower music professionals with the right GenAI tools, we've developed plugins for all major DAWs (Digital Audio Workstations) that provide real-time copyright checking. This ensures they can use GenAI to produce music that is fully copyrightable.

Our models are “neuro-symbolic”, combining neural (AI-driven) and symbolic (rule-based) approaches. The symbolic component enables producers to work with multitracks, not just stem splitters, providing complete control over every individual element of the recording. The original Anticipatory Music Transformer was made by John Thickstun at Stanford University, now assistant professor at Cornell University.

  • It’s time to move beyond “one-and-done” prompting

    Asking Snowcrash to generate a particular style of music is just the tip of the iceberg. Prompt with your own stems. Adjust musical influences, and then regenerate. Make followup requests. Add new instruments. You control every note.

  • Multiple layers of IP protection

    Built from the ground up to respect artist IP. Our patented AI can attribute the exact pieces of training data that inspired each generation. And every output is scanned for similarities to existing songs.

  • Revolutionary tech, packed inside of a standard VST

    Leave your web browser behind. Snowcrash works inside of your DAW, just like any other tool for music professionals. Simply click and drag to move stems between DAW and plugin.

“I“IwouldwouldnotnotbetbetagainstagainstAI.AI.ButButIIwouldwouldnotnotbetbetagainstagainsthomohomosapienssapienseither.”either.”

AI CompositionBeat GenerationMelody MiningHarmonic AnalysisReal-time CollaborationAI Sound DesignAutomated MixingAdaptive LearningFeature ExtractionDeep Neural NetworksMusic TheoryGenerative ModelsIP AttributionPredictive AnalyticsMusic Data ScienceDynamic SoundscapesMachine LearningMusical AttributesSource SeparationFrequenciesAudio Feature ExtractionSoftware ArchitectureAudio AnalysisSpectogramLatency ManagementSoundwave AlgorithmsAudio StreamingMusic AnalysisCopyright
AI CompositionBeat GenerationMelody MiningHarmonic AnalysisReal-time CollaborationAI Sound DesignAutomated MixingAdaptive LearningFeature ExtractionDeep Neural NetworksMusic TheoryGenerative ModelsIP AttributionPredictive AnalyticsMusic Data ScienceDynamic SoundscapesMachine LearningMusical AttributesSource SeparationFrequenciesAudio Feature ExtractionSoftware ArchitectureAudio AnalysisSpectogramLatency ManagementSoundwave AlgorithmsAudio StreamingMusic AnalysisCopyright
AI CompositionBeat GenerationMelody MiningHarmonic AnalysisReal-time CollaborationAI Sound DesignAutomated MixingAdaptive LearningFeature ExtractionDeep Neural NetworksMusic TheoryGenerative ModelsIP AttributionPredictive AnalyticsMusic Data ScienceDynamic SoundscapesMachine LearningMusical AttributesSource SeparationFrequenciesAudio Feature ExtractionSoftware ArchitectureAudio AnalysisSpectogramLatency ManagementSoundwave AlgorithmsAudio StreamingMusic AnalysisCopyright

Let's talk

This may be the beginning of our journey

info@snowcrash.com

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