# SKN Systems: Real-world aerodynamic data from a sensor tape

Canonical: https://mudpie.ai/companies/skn-systems/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [SKN Systems: Real-world aerodynamic data from a sensor tape](https://mudpie.ai/companies/skn-systems/)
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.

SKN Systems turns a vehicle’s surface into a sensor for real-world aerodynamic and thermal data. It fits motorsport and vehicle-development teams that need track-side feedback between simulation, wind-tunnel work and race-day setup decisions.

## What it does

[SKN’s current site](https://www.skn.systems/) describes a flexible sensor tape embedded with thin sensors that captures live wind and thermal data directly from a vehicle. The data is transmitted wirelessly to a cloud platform that turns it into three-dimensional visuals and AI-driven setup suggestions. The company starts with motorsport and says the same approach can extend to automotive, aviation, marine and other industries.

The product decision is about closing the gap between modeled and real conditions. A race team can test a surface, see how the vehicle behaves and use the resulting data in its development loop rather than relying only on simulation or a complex fixed test setup. The site positions the tape as consumable, quick to apply and deployable across a vehicle, which matters for repeatable testing and fast changes.

The LAUNCH portfolio record describes SKN as a real-world wind-tunnel data and analytics platform. The company homepage also says it can replace parts of traditional testing setups with real-world data. Those are company product claims; the retained sources do not provide an independent accuracy, durability or setup-time benchmark.

## Founder context and tradeoffs

The current site identifies Lyall Davenport as CEO, with motorsport, mobility and deep-tech operating experience, and Ed Hill as CTO, with software, systems architecture and embedded-hardware experience. It also publishes automotive and motorsport advisors. That context supports the hardware/software integration thesis, but it does not prove a sensor kit will fit every vehicle or series.

Pricing is not public. A buyer should ask about calibration, sensor placement, telemetry latency, environmental durability, data ownership, wireless reliability and how suggestions are validated by the team’s existing aerodynamic process. The hardware is part of the product, so installation and repeatability matter as much as the dashboard.

## Editorial take

I would shortlist SKN for a team that already runs aerodynamic development and can compare its readings with a known test method. The first evaluation should be one vehicle surface, one test condition and one setup decision. If the team only needs post-race analytics or has no way to act on live data, the sensor layer may be premature.

## Quick facts

| Field | Sourced detail |
| --- | --- |
| Product | Sensor tape, real-world aerodynamic data and cloud analysis |
| Buyers | Motorsport, automotive, aviation, marine and industrial teams |
| Public workflow | Live wind/thermal capture, 3D visualization and AI setup suggestions |
| Pricing | Not publicly listed |
| Main gate | Calibration, durability, telemetry, data ownership and workflow fit |

## Sources checked

| Source | Checked |
| --- | --- |
| [LAUNCH portfolio record](https://launchaccelerator.co/la36/skn-systems) | 2026-09-19 |
| [SKN Systems homepage](https://www.skn.systems/) | 2026-09-19 |


## 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.