We are BachGround, a small startup—and research group—founded by three friends with backgrounds in physics, mathematics, and computer science. We began this project not because the world needs more AI-generated music, but because it needs better musical intelligence.

Our long-term goal is ambitious: to build an AI composer that takes a video as input and produces a coherent, emotionally aligned musical score or soundtrack. We believe such a system can only emerge from strong theoretical foundations—not from scale alone.

Why Most Music AI Falls Short

Much of today’s music AI treats music as text: notes are tokenized, sequences are learned, and large models are trained to predict what comes next. This approach excels at imitation—but imitation is not creativity.

If AI had emerged in the time of Bach, there might never have been a Beethoven. If it had emerged in Beethoven’s era, there might never have been a Wagner.

Musical progress has never come from perfect pattern replication. It comes from breaking expectations, reshaping form, and redefining how sound is perceived. As long as AI remains a world-class device for data retrieval and pattern recognition, it risks freezing music at its current statistical average.

Breaking this cycle requires a shift—from ever-larger imitators to systems designed for creative understanding.

Our Philosophy: Teach Before Training

At BachGround, we approach music AI differently. Instead of asking how much data we can feed a model, we ask:

What must a system understand about music before it can compose?

Our models explicitly integrate music theory, musicology, and psychoacoustics. Music is not just a sequence—it is a perceptual and cognitive phenomenon. Ignoring this fact limits AI to pastiche.

Our First Milestones (Next 6 Months)

AI Virtual Instrument & Sampler

A next-generation virtual instrument inspired by traditional samplers, but powered by AI. Rather than relying solely on static recordings, this system aims to model expressive variation, articulation, and perceptual realism through learned musical structure.

Text-to-Piano Model

A focused model that converts textual descriptions into piano music—not by brute force generation, but through harmonic logic, phrasing, and emotional coherence.

These systems are not isolated products; they are core components of a larger creative framework.

Why We’re Building BachGround

Like many early-career developers and researchers, we encountered a closed loop: no one hires juniors, and no one becomes experienced without building. Instead of waiting, we chose to work on a problem that genuinely matters to us.

BachGround exists at the intersection of science, music, and creativity. We are not trying to automate composers out of existence—we are trying to understand composition deeply enough to model it responsibly.

What’s Ahead

In the coming months, we’ll share research insights, technical decisions, early demos, and honest discussions about what works—and what doesn’t.

If you care about music not just as sound, but as structure, meaning, and perception—you’re in the right place.

BachGround
Not better imitators. Better musical minds.