Pedal Inc.

Building the Intelligent Lab OS for Scientific Discovery

Every major leap in science has been enabled by better tools—from pipettes to PCR to next-gen sequencing. But today, we're bottlenecked not by instruments, but by interfaces. Software hasn't kept pace with the speed, scale, or complexity of modern science.

At Pedal, we're reimagining the interface between scientists, data, and machines.

From Scientific Intent to Robotic Execution

Wet lab automation is still stuck in the past—rigid scripts, clunky GUIs, fragmented data, and siloed tools. Scientists waste hours each week wrangling data and babysitting robots, instead of doing what they do best: discovery.

Pedal changes that.

We're building a hardware-agnostic, AI-native lab operating system that understands scientific intent, translates it into robotic workflows, and turns every experiment into usable, structured data—automatically.

By embedding intelligence into every step of the process, we're building co-scientists—systems that don't just follow instructions, but learn from experiments, suggest next steps, adapt to the lab's needs, and help researchers iterate faster and more intelligently than ever before.

Why Now?

AI is revolutionizing in silico drug discovery, but wet lab validation is the bottleneck. Every model-generated molecule still needs to be synthesized, tested, and analyzed. Yet today's lab infrastructure is fragmented, slow, and offline by design.

We believe the next decade of discovery depends not just on better models—but on better workflows.

Pedal is where systems engineering meets scientific discovery. We're reinventing how science gets done—starting with the lab interface. We're backed by Neo and Prod. If you're excited by intelligent systems, robotics, or tools for scientific reasoning, we'd love to talk.