# Roundabout Technologies: AI traffic signals with a public-infrastructure burden

Canonical: https://mudpie.ai/companies/roundabout-technologies/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [Roundabout Technologies: AI traffic signals with a public-infrastructure burden](https://mudpie.ai/companies/roundabout-technologies/)
Author: Ali Abouelatta (https://mudpie.ai/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

Roundabout is selling a traffic-control system to cities that are tired of timing intersections with stale assumptions.

## What it does

Roundabout Technologies says its AI watches vehicles, bikes, buses, and pedestrians and changes signal timing in response. The [company site](https://www.roundabout.tech/) describes a live intersection dashboard, safety metrics, corridor coordination, and dynamic phase extensions.

The buyer is a city or transportation department. The product is not a consumer traffic app. It sits inside public infrastructure, which makes deployment, data ownership, safety, procurement, and public accountability part of the purchase.

| Fact | What the public source says |
| --- | --- |
| Buyer | Cities and public-works or transportation teams |
| Product | AI-powered signal control plus monitoring and safety views |
| Early deployment | San Anselmo’s Hub intersection is the public reference case |
| Public evidence | The town and company publish delay and capacity results with different framing |

## What looks useful

The product has a concrete wedge: a bad intersection where fixed timing leaves people waiting even when the traffic pattern has changed. Roundabout’s current site says it can see movement in real time and choose a signal change based on the current situation.

There is more than a company testimonial here. The [Town of San Anselmo](https://www.sananselmo.gov/1219/Hub-Transportation-Study) describes an AI-optimized signal system made by Roundabout and reports more than 30% lower peak wait time and 91 hours saved across an average weekday. Roundabout’s site cites an independent Parametrix evaluation with a 25% reduction in peak delay and 3% higher intersection capacity. These are different claims from different sources, not a single universal benchmark.

The founder background is relevant. YC describes Collin Barnwell as a safety-critical systems engineer with Google and Verily experience, and Sabeek Pradhan as a computer-vision engineer from Zoox, Waymo, and Applied Intuition. The background fits the physical-systems problem.

## What to resolve

The city buyer needs more than a good first intersection. Who owns the data? What gets stored? Is there a kill switch? How are pedestrian, cyclist, bus, and emergency priorities represented? A San Anselmo council document shows these were real procurement questions, including data retention, ownership, monitoring, and vendor lock-in.

The expansion case also needs context. One intersection is a useful reference, not proof that every city will see the same result. The current evidence supports a serious pilot conversation, not a blanket safety claim.

Short version: shortlist Roundabout if a city has a measurable intersection problem and the authority to run a physical pilot. The product fit is promising because the buyer’s job is concrete. The procurement burden is part of the product.

## Sources checked — 2026-09-19

- [YC profile](https://www.ycombinator.com/companies/roundabout-technologies)
- [Roundabout homepage](https://www.roundabout.tech/)
- [Town of San Anselmo study](https://www.sananselmo.gov/1219/Hub-Transportation-Study)
- [San Anselmo council document](https://sananselmo-ca.granicus.com/DocumentViewer.php?file=sananselmo-ca_5ba59e9b5d05e7ad9ff0f46bda55184c.pdf&view=1)
- [CBS San Francisco report](https://www.cbsnews.com/amp/sanfrancisco/news/san-anselmo-using-ai-controlled-traffic-lights-at-busy-intersection/)

## Cohort context

Roundabout Technologies is listed in Fall 2024. In our 2026-09-18 directory snapshot, 1 of 94 listed companies in that cohort have YC’s primary industry label Government (1.1%). This is a current-directory comparison, not an original intake count or a performance ranking. [Nine-cohort dataset](https://mudpie.ai/research/yc-cohorts-2026-09-19.json).

## Public website snapshot

Observed 2026-09-19T16:14:45.252Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

| Signal | Homepage observation |
| --- | --- |
| Product description metadata | Observed |
| Canonical link | Not observed in this response |
| H1 or H2 heading | Not observed in this response |
| Typed structured data | Not observed in this response |
| Docs/developer link | Not observed in this response |
| Pricing link | Not observed in this response |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |

[Public observations](https://mudpie.ai/research/yc-homepage-links-2026-09-19.json) · [Collection method](https://mudpie.ai/research/yc-homepage-methods/README.md). Missing links here do not establish that a capability or file is absent elsewhere.


## Author disclosure

I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.