Gain an advantage with AI-driven inspection, monitoring, and digitization solutions that are highly customizable to your operations
Building an Edge in your Business
We offer an AI toolkit that allows businesses to reduce human involvement and exposure in various processes, thereby preventing fatigue-induced errors, enhancing scale, and improving the bottom line. These processes may include identifying defects in production, ensuring the safety of workers, or managing inventory. Our tools can recognize and react immediately to a change in the quality of the material entering a production process, detect a misassembly to prevent defective product dispatch, or detect safety issues early to avert an adverse impact.
Our Offering
Sayantek offers eRED, a low-code application platform (LCAP) developed with patent-pending DDF (distributed dataflow) technology for building software applications capable of distributed processing. By combining visual flow-based programming, secure networking, and edge computing, eRED enables the democratization of AI -- SMEs of varying IT skills are empowered to create AI and IoT solutions in optimal adaptation to their operational workflows. Pre-built and packaged application components further simplify the task of developing end-to-end solutions.
Low-code Apps
Use visual flow-based programming with drag-and-drop application components
Packaged AI
Leverage pre-trained, pre-built, and performant AI components
Edge workloads
Optimize and scale solutions, and secure data by deploying edge-processing workloads
App management
Use cloud-hosted tools for administration, flow design, and orchestration
Why eRED LCAP?
Build bespoke solutions with low-code tools
- Data flow-based app development with visual, web-based designer
- A rich palette of drag-and-drop components for complete application stack
- Python and nodeJS scripting for advanced users
- Achieve 20x productivity gain in building end-to-end applications
Drag-and-drop integration with Vision AI components
- Leverage pre-built AI components packaged with pre-trained and proven deep-learning models
- Choose the models optimized for edge hardware such as GPU, TPU, and CNN accelerator ASICs
- Build custom AI components with an open framework
Distribute and deploy workloads to edge and cloud
- Powered by patent-pending distributed dataflow (DDF) technology
- Optimize and scale solutions by distributing workloads to edge nodes
- Detect and handle business-critical events in real-time with Edge AI
- Agile deployment capability accelerates proto to the production cycle
Design, orchestrate and manage apps from cloud
- Integrated web UI for app development, administration, and management.
- Cloud-hosted controller for orchestration of distributed application workloads.
- Role-based user profiles for managing complete application life-cycle spanning design, prototype, deployment, and sustenance.
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