ChatGPT SearchSep 20, 2026
Syntiant — Makes Neural Decision Processors specifically for running deep-learning models locally
Data as of Oct 14, 2026Based on 35,815 AI responses
Reviewed by Dimitry Apollonsky
AI summary
Syntiant provides hardware, neural decision processors, and software models for on-device speech, vision, and sensor processing.
<1%
of 35,815 answers across Syntiant’s markets · since Jul 5
The market map
AI Semiconductor and Accelerator VendorsMentioned in
Share of answers in AI Semiconductor and Accelerator Vendors each week · 285 answers since Jul 5
Each engine’s share of its own answers across Syntiant’s markets · since Jul 5
Where Syntiant ranks in AI
Question: Which companies offer edge AI chips for running machine learning models on-device?
Google AI ModeAug 11, 2026
Syntiant — Focuses on ultra-low-power, deep-learning neural decision processors
Question: I am preparing to deploy AI on satellite hardware. Who optimizes models for extreme edge environments?
ChatGPT SearchSep 15, 2026
Syntiant — specializes in ultra-low-power neural inference and has demonstrated optimized, quantized models running for satellite computer-vision workloads.
syntiant.com 36%Other sites 64%
Excerpts where Syntiant appeared in the AI's answer
Syntiant — Makes Neural Decision Processors specifically for running deep-learning models locally
Syntiant — Focuses on ultra-low-power, deep-learning neural decision processors
Excerpts where Syntiant appeared in the AI's answer
Syntiant — specializes in ultra-low-power neural inference and has demonstrated optimized, quantized models running for satellite computer-vision workloads.
Syntiant Corp. : Known for ultra-low-power physical AI solutions, Syntiant has demonstrated successful on-orbit deployments
Excerpts where Syntiant appeared in the AI's answer
Syntiant : Known for its ultra-low-power Neural Decision Processors (such as the NDP250 Go to product viewer dialog for this item.)
Excerpts where Syntiant appeared in the AI's answer
Syntiant Syntiant Core 2 : Specialized ultra-low-power neural decision processors for sub-watt applications