KaleidoForge bridges machine learning and hardware acceleration through education, consulting, and applied research, turning complex ideas into efficient, deployable solutions.
Core pillars connecting ML research with real hardware and user experiences.
Engineer-focused programs blending ML concepts with real FPGA workflows. From foundational modules to intensive 2-week guided labs with hardware.
EducationSupport teams building efficient, hardware-ready ML pipelines. Model optimization, FPGA acceleration, and reproducible engineering workflows.
EngineeringResearch threads around efficient ML, FPGA acceleration, compact models, and ML-to-hardware deployment. Case studies and experiments.
ResearchDesign and development of graphical user interfaces and dashboards. Seamlessly integrating complex applications with Edge devices and AI pipelines.
DesignInsights, tutorials, and updates on ML, FPGAs, and hardware acceleration.
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