Audio software and on-device AI
We build PAM and MFX. We also develop audio software for other teams, from new instruments and effects to specific work on an existing product.
We develop instruments and effects, from an early prototype to a plugin people can install and use in their DAW.
We develop synthesis and effects algorithms, and investigate problems with sound quality or CPU use in existing DSP.
We integrate models that run on the user’s machine. The work includes training, evaluating output, and fitting inference into an interactive application.
We work on existing audio software: updating dependencies, isolating difficult code, and adding tests before changing its behavior.
We connect assistants to an application’s own controls and data, so they can perform specific actions such as loading content or changing parameters.
We help engineering teams use coding agents in their own repositories, with project instructions, useful tests, and a clear review process.
We build the systems customers use to buy, activate, and update audio software, along with the tools needed to prepare each release.
We review technical plans and help teams decide what needs a prototype, what can use an existing library, and where development effort is likely to go.
A feature or a whole product with an agreed scope, milestones, and handover. We define the deliverables with you before development starts.
An engineer working with your team in your repository, using your development and review process.
A focused review of a codebase, its performance, or its audio-thread safety. You receive a written report and a prioritized list of fixes.
Founder · Principal engineer
Former FL Studio developer at Image-Line and lead software engineer at Lunacy Audio, where he designed BEAM’s software architecture. Holds an MA in Music from the University of Huddersfield, with composition-interface research published at NIME and ICMC. Develops PAM’s sampler engine, DSP, interface, on-device AI, and release tooling.
ince.ioResearch engineer & musician
Founder of Afhverju Ekki, a studio and art-science residency in North Iceland. Former research engineer at ROLI and FXpansion, with a PhD from Queen Mary’s Augmented Instruments Lab and postdoctoral research at the Intelligent Instruments Lab in Reykjavík. His instrument research spans more than 30 publications. As Lil Data, he releases on PC Music and has production credits for Charli XCX and Jónsi.
jackarmitage.comAI research engineer
Co-founder of Metaesthetica, a research and design collective creating immersive media installations. Holds a PhD in Media Arts and Technology from UC Santa Barbara, where he also completed his master’s as a Fulbright Scholar. Works on generative systems, interactive audiovisual tools, and computational fabrication, with publications at CHI and DIS and work exhibited at SIGGRAPH Art Gallery.
merttoka.comQA engineer & beta tester
Runs beta testing and QA for PAM and MFX across macOS and Windows hosts. Spent 20 years in global banking back-end IT, configuring and maintaining backup services. Has beta-tested audio plugins for Native Instruments, Polyverse, and Little Endian for over 20 years, known for unusually detailed, developer-sensitive reports. A multi-instrumentalist of 45 years across wind, string, and percussion instruments, most recently exploring latent-space traversal as a way to push audio machine learning somewhere new.
Tell us about the project and the help you need. Include your target platforms and timing if you know them.
support@map.audio