Enclustra and MakarenaLabs Partner to Bring Edge AI Orchestration Across Enclustra's Complete System-on-Chip Portfolio
MakarenaLabs' MuseBox — offered on Enclustra hardware as Lira — brings complete, locally run AI pipelines to Enclustra's System-on-Modules
September 21, 2026 — Enclustra GmbH, a leading provider of FPGA and SoC-based System-on-Modules (SoMs), today announced a partnership with MakarenaLabs to bring hardware-accelerated Edge AI orchestration across its full SoC, MPSoC, and MLSoC portfolio.
The partnership brings MakarenaLabs' MuseBox — offered on Enclustra hardware as Lira — to developers building real-time, on-device intelligence. Lira connects live data sources, accelerates inference in hardware, and deploys results to dashboards, actuators, or external systems, entirely at the edge, with no mandatory cloud dependency.
“At Enclustra, we’ve spent two decades building FPGA and SoC modules that engineering teams trust to work reliably in the field,” said Philipp Baechtold, CEO of Enclustra. “Partnering with MakarenaLabs extends that reliability to the AI layer, giving our customers a tested path from silicon to a working edge AI pipeline — on hardware they already trust.”
“We saw this partnership as a combination of Italian tailoring and Swiss watchmaking. Enclustra brings the precision, reliability, and engineering excellence of Swiss hardware; at MakarenaLabs, we’ve tailored the AI layer around it to fit real market needs,” said Enrico Giordano, CEO and CTO of MakarenaLabs. “This partnership comes from years of engineering and market research focused on one goal: making Edge AI easier to adopt and faster to bring into real products — a production-ready platform that removes uncertainty and gives developers a clear path from AI concept to deployment.”
Because Lira runs across Enclustra's SoC, MPSoC, and MLSoC modules, teams can scale from compact standalone deployments to high-performance, multi-accelerator pipelines using the same framework. Out-of-the-box capabilities include face detection and recognition, object detection and depth estimation, and hand and face landmarking, with real-time video, image, and audio processing, WebSocket integration, and an optional No-Code GUI.
The combined platform targets Smart City, Medical & Healthcare, Industrial Inspection, Defence, and Robotics applications, where local, real-time decision-making is critical, and cloud connectivity can't always be guaranteed.
Within the Enclustra ecosystem, MuseBox technology is offered under the name Lira, combining Enclustra’s high-performance FPGA System-on-Modules with MakarenaLabs’ expertise in Edge AI, software, and hardware acceleration to provide an integrated platform for the rapid development of production-oriented AI applications. Learn more at: www.musebox-ai.com
Read more in the official Press Release.
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