Dirac collaborates with leading tech innovators through the Audio Foundry ecosystem in development of premium, scalable audio solutions.
Consumers increasingly expect personalised, immersive and intelligent sound experiences across devices and environments. At the same time, manufacturers face growing pressure to reduce complexity, accelerate development cycles and differentiate their products in competitive markets.
Dirac helps solve this challenge through advanced digital audio software that improves sound performance, enables scalable tuning workflows and supports next generation connected experiences.
Advanced room correction and optimisation technologies that improve clarity, staging and bass performance across environments.
Dirac maintains tonal balance, clarity, and spatial accuracy across positions, ensuring every passenger experiences the same level of quality.
In-car acoustics are dynamic, influenced by materials, geometry, and usage.
Dirac’s processing accounts for these variables, maintaining performance even as conditions change.
Performance is driven by software, not limited by hardware constraints.
This enables scalable implementation, continuous improvement, and precise control over how sound is experienced.
This collaboration reflects a shared commitment to open innovation, interoperability and software driven advancement in audio technology.
For manufacturers and platform providers, this means access to a partner that understands both audio performance and ecosystem integration.
Dirac partners closely with manufacturers, platform providers and engineering teams throughout the product lifecycle.
From concept and system architecture to calibration workflows and commercial launch support, our approach is designed to help partners innovate faster while maintaining exceptional sound quality and user experiences.
Dirac works with companies that treat sound as a critical part of their product experience.From system design to implementation, the focus remains the same:
Delivering consistent, high-quality audio at scale.