From Track to Cloud: Digitizing Racing Insights for the Long Tail
This page is showing some of our traction in our work, with this scale of engineering and efforts across so many domains it is hard to convey how far and how much work is already put into this, so here is a little sample of how far we have are on our journey. For more answers consult our FAQ. Check out our online community or contact us directly here. We are currently founder bootstrapped and looking for investors for our seed round.
Engineering Shop & Labs
Our engineering shop is our main R&D facility that has taken us a year and a half to put together with all the tools and equipment capable of re-engineering and customizing our cars. Outfitting them with sensors and hardware without gaining considerable weight or altering the physics of the vehicle is important for the derived data.
Full Engineering shop
We got complete engineering shop setup with car lifts and all the tools complete to engineer our own vehicles and hardware. Plenty of floor space to expand and co-located labs and private datacenter.
Electronics Lab
We are setup to build and alter sensors and hardware in our lab, that is already stocked with parts and essentials.
Testing and QA Lab
We are setup to test sensors in simulations and NVIDIA Jetson systems. Electronic testing equipment and much more.
The high variance in quality vs pricing on hardware for sensors is a challenge on a tight budget but also important for outcome of the data and products, we rigorously test hardware and equipment from many vendors to find the right sensors for our use case. We also CAD and design some of our own hardware and sensor but use third party manufacturers and vendors to produce them.
SIM-TO-REAL Gap In Action
Show casing Real-world Racing-to-road where simulator and real-world activities with different point of views and rich telemetry illuminates key sim-to-real gaps and how we are setup for real-world operations and simulator digital twins.
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The insights for long-tail just from this one track day is stacking up, the improvements we were able to do with our own simulator and simulations had big impact on our setups. We got to test new sensor hardware and was able to narrow down towards selection of sensors for our final setup. Our LapMeta profile: https://lapmeta.com/en/driver/detail/10342 Track: buttonwillow Raceway 1CW configuration.
Key Findings:
  • Variation in terrain mapping from aged maps that took operator several rounds to adjust for.
  • Temperature variations from SIM to time of day and with microclimate dust devils on track causing traction variance.
  • G-force variance of over 30% in some key moments.
  • Human anticipation vs sensor physics registration of events.
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Operator anticipation and reaction before sensor pick up physics, derived insights with operator-in-the-loop reveals pre-cursors that can be digitized to build artificial anticipation on similar cases.
Private Datacenter
Our private datacenter is taking shape with enough power supply to power our own small scale GPU and data storage. This is for R&D and the building of our models in-house and staging of our data before it is transferred to a major cloud provider, where larger tasks and compute is taking place.
Datacenter
Our own private datacenter for R&D and ultimate data privacy for our data is important to allow us to rapid prototype and bring products to market without relying on other vendors and supply chains and wait times.
Fiber Optical uplink
We operate 2 /24 CIDR IPv4 networks with our own networking and security systems using state of the art vendors, where are also experimenting with new modern cybersecurity solution vendors.
Power & Cooling
Underground power upgrade has been added to our building and full AC-DC-AC with backup power systems and cooling systems is installed.
Home Lab & Mobile Lab
Being a startup our garage and bedrooms are off course converted into work shops datacenter and home office. Our main SIM's have a dedicated SIM room that connects to our home lab for R&D and testing. We operate a mini datacenter to enable R&D and exploration with inference and maintain a 1Gbps uplink to our private datacenter location.
Home Lab
A lot of hardware for testing and inference and simulation trials for R&D.
Home Datacenter
Our non motion simulators and software simulations connects to home datacenter for data staging and R&D in our home lab.
Mobile Lab (In the works)
We have assembled equipment but need seed funding for the trailer purchase.
Simulator Labs
High-end simulators with VR and haptic feedback, G-Force emulations.
Simulations and Software testing
Simulations
We make use of NVIDIA AlpaSIM and other vendors simulations software to validate and develop our improvements towards simulations closing the sim-to-real gap with our products internally first.
Software Stacks
Our stack ranges from vehicles systems to mobile labs and datacenter internally using hundreds of open source solutions and commercial solutions, in addition to our own developed platforms for internal use.
ML / AI
We maintain many ML/AI tools for deep-research, engineering and our internal builds of specialized ML tools that is building our products in sync with humans and become teacher models for our customer facing product models.
Technical Solutions
Given some sensitivity we are only sharing some high level view of our technical systems and overall architecture here. Some of the key sensors are missing from these diagrams and some flows we are keeping internally, but these show enough of our process that is starting to shape given all the traction, engineering and development shown above.
We have spent time planning this architecture as it has to be very precise and synced down to millisecond levels across the data objects. This in itself is a very big challenge then to sync the timelines across other activities with different calendar timelines.
The diagrams below show some of the sensors and the data fusion we are employing in our vehicles and simulators.
Custom Car Engineering Progress
Our first car build is close to completion, this will serve as our first sensor deployment vehicle that is the beginning of pushing data into our pipeline.
Our second vehicle for data collection will be Subaru WRX STI modified with forged internals and stage 1 setup. Currently undergoing engine rebuilt and being outfitted with sensors. This will be a light sensor version that is targeting urban environment and roads-less-travelled, our target geographical areas are where there is no autonomous and the least EV presence to date.
CTRL-DRIVE Inc has 3 more cars in our inventory that will serve as data collectors on and off the track. Honda Civic EK (undergoing rebuild). Nissan 350Z full drift setup (90% completed). Nissan 300 ZX Turbo street legal modified for urban usage, where it will be offered for video productions and other events.
Patent And IP
Our first 3 process patents are in the works and will be filed for patent pending Q2 2026, we anticipate more patents post funding from R&D and access to resources for research and writing.
Mastering All Aspects of Motorsports
Racing-to-Road is a loaded terminology when it comes to CTRL-DRIVE our view on this involves all possible tracks and physics we can encounter for our vehicles and our operators. These images depicts our diverse set of activities we collect data from.
Honda Racing Corporation (HRC) sharing track day with us at ButtonWillow in their prototype race car.
We are in conversations with partners to initiate our Rally data collection in Q3 2026 in Texas. We envision this is an activity that will yield high amounts of data insights across much shorter time of activity, both from physics and the human teaming portion.
Operators Teaching Moments
Operators teaching moments with human-to-human knowledge transfers. These are key data objects that plays a role in the overall data insights one some elements.
Beginning Of Aviation
Our aviation efforts are slated post Series A funding as it will require CAPEX and OPEX to operate a single plane that is capable of acrobatics and sports flying. But we are investing in our operators so they can operate on simulators and understand physics and theory behind simulations in the vertical.
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