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Rerun: The Visual OS for Robotics
How a $20M-funded startup is building the essential debugging layer for embodied AI
Rerun is building the visual operating system for robotics and embodied AI, tackling the invisible bottleneck that slows down every robot development cycle: the gap between raw sensor data and actionable insight. With $20.2M in funding and 51 employees, they're not just creating a debugging tool—they're creating the standard for how the physical world gets digitized.
"In robotics, the bottleneck isn't compute—it's visibility. Rerun makes the invisible visible."
The Problem They Actually Solve
Robotics teams waste weeks building custom visualization pipelines. Rerun's insight is that debugging physical systems requires temporal, spatial, and sensor fusion context—something traditional ML tools can't handle. Their SDK ingests everything from LiDAR to camera feeds, creating a unified timeline where engineers can see exactly what the robot saw, when it saw it, and why it acted.
The Growth Narrative
Despite being in a niche vertical, Rerun pulls 65K+ monthly visits with 44% direct traffic—a remarkably high number suggesting strong product-market fit. The top search term 'rerun' alone gets 4,970 monthly searches, while 're run sdk' (340) and 'rerun download' (140) show users actively seeking their tooling. This isn't viral marketing; it's utility-driven adoption.
Their tech stack reveals a modern, web-first approach: Vercel for deployment, Svelte for interactivity, Tailwind for rapid UI iteration. This isn't a legacy desktop tool—it's a cloud-native platform that treats robotics data as first-class citizens, not CSV files. The GitHub presence (implied by their open-source SDK) further accelerates community-driven growth.
- Unified infrastructure for ingest, visualize, annotate, query, and transform
- Native Rust viewer for high-performance rendering of sensor streams
- Temporal debugging that aligns multi-modal data across time
- Built specifically for robotics/embodied AI—not retrofitted from ML tools
Rerun is betting that robotics's biggest bottleneck is visibility
Their $7.5M revenue and 51-person team suggest they're right—and the market for embodied AI tooling is just getting started
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Rerun — Rerun
Iterate faster on robotics learning with unified infrastructure. Ingest, visualize, annotate, query, and transform - from collection to training.
Rerun
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About rerun.io
Iterate faster on robotics learning with unified infrastructure. Ingest, visualize, annotate, query, and transform - from collection to training.
Company Overview
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Technology Stack
rerun.io uses 8 technologies across their website including HSTS, Vercel, Typeform, and more.
Security
HSTS
Cloud & Hosting
Vercel
Forms
Typeform
Web Standards
Twitter Cards
CSS Frameworks
Bootstrap, Tailwind CSS
JavaScript Libraries
Prism
Traffic & Audience
rerun.io receives approximately 65.5K monthly visitors and ranks #426,274 globally. The website has a bounce rate of 40% with visitors viewing an average of 3.5 pages per visit. Users spend an average of 1:16 on the site.
The majority of rerun.io's traffic comes from undefined, undefined, .
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