Righ Partners with Synaptics for Smart Home Agentic AI Applications
Righ, a pioneer in distributed Agentic AI on edge, announced that it is partnering with Synaptics for Smart Home Agentic AI Applications. The partnership endorses RighValor, Righ’s distributed agentic AI platform built for privacy, performance, and customization, and marks a major step forward in how homes process and act on data.
Also Read: What Regulatory Changes Could Influence Privacy Practices in GenAI Usage?
Together, Righ and Synaptics are delivering live, on edge Agentic AI powered by the Astra SL1680 SoC and RighGravity, Righ’s network control plane and data management service. This combination enables intelligent services to run directly in the home without relying on cloud compute, reducing latency, ensuring privacy, and lowering operational costs.
“Righ was created to rethink how technology works in the home. With Synaptics, we’re proving AI can be intelligent, privacy-first, and cost-efficient, creating new revenue for partners. We’re proud to be Synaptics’ first Smart Home Agentic AI partner.”
Also Read: What Regulatory Changes Could Influence Privacy Practices in GenAI Usage?
- Miro Samardzija, Chief Product Officer, Righ:
“At Synaptics, we’re enabling powerful AI capabilities where they matter most at the device Edge. Righ’s distributed AI architecture complements Synaptics’ Astra family of processors. We’re excited to showcase what’s possible when advanced hardware meets robust software. This partnership will enable a range of real-world applications for the smart home industry.”
- Siddarth Chandrasekar, Senior Director Product Marketing, IoT Processors, Synaptics
Live at IBC 2025: Agentic AI in Action
At IBC 2025, Righ and Synaptics will showcase a live deployment of RighValor running on Astra SL1680 inside Synaptics’ invite-only demo suite. The demonstration will highlight:
- Distributed Parallelism – Optimizes speed, efficiency, and localized intelligence by distributing tasks across devices in the home
- Device Identification – Recognizes users and devices in real time for personalized automation, access control, and cybersecurity
- On-Device Image Processing – Captures and processes visuals locally for faster response and stronger privacy
This capability allows service providers and device manufacturers to deploy next generation AI services with zero reliance on cloud compute, deliver premium customized user experiences, improve privacy and speed while reducing infrastructure costs, and increase ARPU through automation and intelligent value-added services.
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