Integral & Open Systems (IOS) designs and delivers custom edge AI inference subsystems on Altera Agilex 5, Cyclone V, Cyclone 10, and MAX 10 device families, optimized for deterministic low-latency operation in SWaP-constrained environments. Our engagements span model porting and quantization, RTL accelerator design, AI Tensor Block utilization on Agilex, integrated Arm and Nios V processor configuration, and full embedded software bring-up — from architecture trades through silicon-in-the-loop verification and sustainment.
We support the full edge AI deployment spectrum: TinyML for power-constrained sensor nodes, mid-scale CNN inference for vision and signal classification, recurrent and transformer-lite models for time-series tasks, and hybrid CPU-FPGA pipelines for systems that need both flexibility and acceleration. Typical applications include industrial machine vision, medical imaging preprocessing, ISR sensor classification, autonomous platfor...
Integral & Open Systems (IOS) designs and delivers custom edge AI inference subsystems on Altera Agilex 5, Cyclone V, Cyclone 10, and MAX 10 device families, optimized for deterministic low-latency operation in SWaP-constrained environments. Our engagements span model porting and quantization, RTL accelerator design, AI Tensor Block utilization on Agilex, integrated Arm and Nios V processor configuration, and full embedded software bring-up — from architecture trades through silicon-in-the-loop verification and sustainment.
We support the full edge AI deployment spectrum: TinyML for power-constrained sensor nodes, mid-scale CNN inference for vision and signal classification, recurrent and transformer-lite models for time-series tasks, and hybrid CPU-FPGA pipelines for systems that need both flexibility and acceleration. Typical applications include industrial machine vision, medical imaging preprocessing, ISR sensor classification, autonomous platform perception, broadcast video analytics, and federated edge analytics for distributed sensor networks.
IOS pairs Edge AI engineering with our AI/ML modeling, cloud, and DevSecOps teams, so the same FPGA design that runs at the edge can be paired with a federated training pipeline, cloud back-end, and CI/CD release flow — reducing time-to-field for AI-driven products. We work natively in Quartus Prime Pro 26.1, Platform Designer, OpenVINO toolchains, and HLS flows. The company is a CMMC Level 2 self-certified, JCP-certified Small Disadvantaged Business with active DARPA Phase II execution and GSA MAS contract 47QTCA23D00CP for rapid federal contracting.