
CTRL DRIVE bridges motorsports and automotive R&D, generating high-fidelity data that address the long-tail barrier in autonomous and ADAS systems through extreme driving conditions and simulators.We operate where others won't, in extreme conditions that reveal the long-tail scenarios critical for progression of autonomous systems.
CTRL-DRIVE Inc is a team of seasoned operators across industries with a vision to bridge motorsports and automotive R&D, generating high-fidelity data that address the long-tail barrier in autonomous and ADAS systems through extreme driving conditions. We transform extreme operations and scenarios into actionable intelligence for automotive OEMs, tech giants, and AV developers.
Our foundations are rooted in the rigorous standards of high-performance engineering. Over years of development, we have successfully pivoted from an engineering-focused hobby into a market-facing entity. This transition was driven by a commitment to applying the uncompromising reliability of the racing world to broader industrial applications.
We specialize in digitizing the "last mile" of driving intelligence—the critical layer of nuance and decision-making that remains the primary barrier to full automation. By leveraging significant technological leaps, we provide the infrastructure necessary for new mobility ecosystems to thrive across diverse verticals.

Today's AI and ADAS models excel in perfect conditions but fail in unexpected situations—edge cases that form the long-tail barrier. Traditional methods can't capture these critical scenarios, creating safety gaps and market slowdown.
Fragmented data preparation and low-fidelity simulations drive higher costs and liability across the automotive ecosystem. Expansion into demanding markets requires new approaches to data generation.
Edge cases impossible to cover with traditional methods
Low-fidelity simulations fail to match real-world complexity
Compliance issues and legal liability across global markets
We engineer custom vehicles outfitted with hundreds of sensors, capturing data in extreme conditions that traditional methods can't replicate. Our operators wear sensor arrays while driving on track and urban street-legal versions, generating unprecedented datasets across physics and scientific fields, that we replicate in simulators with identical configurations (Digital Twins). This enables CTRL-DRIVE to use custom high fidelity sensors even before they hit mass market with strategic ecosystem partnerships.
Custom vehicles with sensors for vehicle and operator in extreme conditions across multidisciplinary activities.
Digital twin replication in simulations and simulators with human-in-the-loop subject matter experts.
Expert operators & scientists provide mechanical and cognitive insights along side internal ML models.
High-fidelity datasets addressing long tail edge-cases and containerized models for validation and testing.
Our approach provides a liability firewall; we assume operational and legal exposure from extreme motorsports and other activities, allowing risk-averse clients to procure necessary data as a clean asset without reputation or litigation risks. Consult our FAQ page for more answers.

Data-as-a-Service
Multi-tier datasets organically generated, annotated, tagged, and labeled in standard formats ready for ML pipeline ingestion. Delivers high-fidelity data streams that align with existing AV/ADAS validation workflows, immediately monetizable and designed for rapid customer adoption.

AI-as-a-Service
Pre-trained ML models delivered via containerized deployment for maximum privacy and security. Access our inference capabilities on selected partner infrastructure or deploy client-side for complete data sovereignty and control.
Sound/Energy Engineering Lead
Acoustic and electronic engineering SME with career mastering complex systems from high-fidelity signal paths to global datacenter architecture. Focused on Power Purity and Acoustic Intelligence frontiers.
We are always looking for operators (Drivers), scientists, engineers and partners, reach out here to see what openings we have.
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Digitizing the "Last Mile" of Human Driving Intelligence