Rerun
rerun.io
Actively hiring
Industrial Robotics
Developer Tools
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News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$17M
1 round on record
Latest round
$17M
Seed · Mar 2025 · 19 mo ago
Team
51-200
employees, estimated range
Hiring now
7
+1 posted in 30 days
Backers
3
Costanoa, Point Nine
The money's age
Due for its next round
19 months since the last round · and hiring
Momentum
31/100
hiring for its size, a new city, in the news
Last sign of life
1 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Mar 21, 2025
Raised a round Seed $17M · PYMNTS.com
Sep 18, 2024
Launched on Hacker News Show HN: NuScenes autonomous driving dataset visualized with Rerun
Aug 26, 2024
On the Hacker News front page Rerun: Visualize Multimodal Data over Time · 152 points
Feb 14, 2024
On the Hacker News front page We sped up time series by 20-30x · 165 points
Oct 5, 2023
On the Hacker News front page Rerun 0.9 – a framework for visualizing streams of multimodal data · 117 points
Feb 15, 2023
On the Hacker News front page Rerun OSS beta is released · 221 points
Oct 18, 2022
On the Hacker News front page Why Rust? · 233 points
2022
Founded
Tractionpublic signals, read monthly
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Seed | Mar 2025 | $17M | — | PYMNTS.com |
Registers and programsofficial lists and records that name the company
| Legal entity | Rerun Technologies AB | its site |
Backed byfrom the funds' portfolios and accelerator catalogs
Costanoa 
Point Nine 
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How Rerun hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Rerun scores B on the Alion truth index (A is best, E worst), measured over 4 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
News
Report
Selected NXTG.AI Artifacts You Can Verify Publicly
A selected, non-exhaustive set of NXTG.AI artifacts, each paired with the public probe that supports the narrow claim beside it. Run the probe; treat the result as time-stamped evidence.
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Report
An MCP for visually inspecting robotics data, with headless rendering for CI
The Rerun CLI includes an MCP(https://modelcontextprotocol.io/) server that lets agents such as Codex or Claude interact with a running Viewer. It allows the agent to interact with the viewer like a real user, allowing it to interact with the ui, adjust s
Read more
Report
The Robotics Experiment Loop
Learn the foundations of Rerun and how to build it into your experiment loop: collect, refine, train, deploy. A short, hands-on course with real recordings you can poke at in the browser.
Read more
Report
Agentic Compilation: Mitigating the LLM Rerun Crisis for Minimized-Inference-Cost Web Automation
Abstract page for arXiv paper 2604.09718: Agentic Compilation: Mitigating the LLM Rerun Crisis for Minimized-Inference-Cost Web Automation
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Report
A new data layer for robot learning
With the 0.32 SDK release Rerun becomes a unified data layer for physical data, covering visualization, querying, transformation, and training of multi-rate, multimodal robotics data. This post walks through the architecture, tours the new capabilities, a
Read more
Report
The data layer tax for robot learning
Robotics teams are trying to scale end-to-end learning without the mature data infrastructure that made it work for LLMs. This post is a map of where the tax comes from, walking backwards from evaluation to collection.
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Report
How much better is Strix 1.0? Results from a small rerun
It has been a while since my last blog post, but I definitely haven't stopped playing with AI-assisted security tools. Summer is here, and my schedule is finally a little less crowded, so I'm planning to write a few blog posts about what I've learned late
Read more
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Show more news
Tech stack
Technologies named in job postings at Rerun over the last 12 months, by layer, with the share of postings for each.
Technologies in use
23
Postings analysed
8
Stack modernity
74/100
Languages
Rust
Python
C++
Frameworks & libraries
Pandas
Polars
ROS
Databases
Snowflake
Cloud & platforms
AWS
Hugging Face
Kubernetes
Azure
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Full Rerun tech stack
23 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
68/100
Growing
Open positions
7
1 opened / 1 closed in 30 days
Median time-to-fill
186 days
faster than 8% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
HR
50%
Backend
25% ▲
Product
25% ▼
Activity Timeline
New location: Sweden
Oct 2026
New location: United States
Oct 2026
New location: West
Sep 2026
Added Platform Engineering to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added ROS to stack
Sep 2026
Added RViz to stack
Sep 2026
Added Snowflake to stack
Sep 2026
Added Polars to stack
Sep 2026
Added Pandas to stack
Sep 2026
Added gRPC to stack
Sep 2026
Added Physical AI to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
2
Busiest office
Stockholm
Loading the map
Headquarters
Builds here
Office with open vacancies
Tap a pin for the office
Stockholm
Sweden
HQ
1 open roles 50-200 est. staff
hires for Sales
Katarinavägen 15
San Francisco
United States
1 open roles 1 posted in 90 days 50-200 est. staff
hires for Product
Jobs
Remote (Europe, United States, CET hours) • Full-Time
Rust
Multimodal AI
Time Series
Robotics
ROS
RViz
Apply
≈ $133k – $264k per year (Estimated) • Hybrid • Full-Time • 3+ years exp • San Francisco
Multimodal AI
Hugging Face
Physical AI
Apply
$175k – $300k per year • Remote (United States, US time zones hours) • Full-Time
Python
Physical AI
DevOps
Platform Engineering
Apply
≈ $52k – $134k per year (Estimated) • Remote (United States, Sweden, US time zones hours) • Full-Time
Rust
Multimodal AI
Time Series
DevOps
Terraform
OpenTofu
CI/CD
AWS
Kubernetes
IAM
Apply
Remote (Europe, UTC-8 – UTC+1 hours) • Full-Time • 3+ years exp
Rust
C++
Multimodal AI
Time Series
Machine Learning
DevOps
GCP
Azure
AWS
Apply
Financials
Total raised
$17M
Latest round
Seed
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Seed | 2025 | $17M | Details |