Edgematic is a no‑code platform developed by SiMa.ai that allows users to create and deploy computer‑vision pipelines directly onto Modalix edge hardware. It provides a visual drag‑and‑drop environment where users can combine pre‑built blocks for video input, preprocessing, model execution, post‑processing, and output handling. The platform automatically optimizes workloads for the target hardware, handling compilation, profiling, and performance tuning in the background. Edgematic is designed to enable rapid experimentation and iteration without requiring specialized ML engineering knowledge. Users assemble workflows, test them in a simulated environment, analyze performance characteristics, and deploy the final configuration to the Modalix MLSoC. It supports multiple model formats, integrates with SiMa’s quantization and compilation toolchains, and provides real‑time feedback to ensure predictable edge‑device performance.

Key Features

Drag‑and‑Drop Pipeline Builder Lets users build AI workflows visually without code.

• Prebuilt blocks for preprocessing, inference, and post‑processing
• Supports chaining components into end‑to‑end pipelines

Automated Model Optimization Prepares models for efficient edge execution.

• Handles quantization and compilation steps
• Applies hardware‑aware optimization for the Modalix MLSoC

Real‑Time Performance Profiling Provides insights into latency, throughput, and resource usage.

• Shows bottlenecks within the visual pipeline
• Helps refine workloads before deployment

Model Format Flexibility Accepts common model inputs and converts them for hardware use.

• Supports models from frameworks like PyTorch or TensorFlow
• Converts and packages them into Modalix‑ready binaries

One‑Click Deployment Pushes validated pipelines onto hardware in seconds.

• Ensures reproducible, deterministic execution
• Handles runtime setup automatically

Benefits

Faster Development Cycles Enables rapid prototyping without specialized skills.

• Reduces time spent on manual optimization
• Streamlines experimentation and iteration

Lower Skill Barriers Allows non‑experts to build advanced AI pipelines.

• No programming required
• Intuitive visual workflow assembly

Reliable Edge Performance Ensures stable and predictable execution on low‑power devices.

• Optimized scheduling
• Consistent latency even under tight power constraints

Reduced Engineering Overhead Automates complex pipeline preparation tasks.

• Eliminates manual compilation steps
• Minimizes configuration errors during deployment