A trainable, modular electronic nose for industrial use
Hi HN, I’m part of the team building Sniphi. Sniphi is a modular digital nose that uses gas sensors and machine-learning models to convert volatile organic compound (VOC) data into a machine-readable signal that can be integrated into existing QA, monitoring, or automation systems. The system is currently in an R&D phase, but already exists as working hardware and software and is being tested in real environments. The project grew out of earlier collaborations with university researchers on gas sensors and odor classification. What we kept running into was a gap between promising lab results…
A trainable, modular electronic nose for industrial use launched on March 3, 2026 with 34 votes, #762 of 23,380 launches that month and more than 95% of that year's launches.
In plain words
Sniphi is a modular electronic nose system that uses gas sensors and machine learning to detect and analyze volatile organic compounds for industrial quality assurance, monitoring, and automation. The hardware and software platform can be trained for different applications by adjusting the models and training data rather than requiring redesign. Currently in the R&D phase, the working system is being tested in real production environments to bridge the gap between laboratory results and practical industrial deployment.
written from the facts on this page · September 2026
From the sources
Sniphi , a technology start-up founded by Antdata , is a leader in digital scent recognition. The next milestone in the AI and robotics revolution is scent . Until now, machines have learned to see, hear, and speak—but they haven’t been able to smell. We created Sniphi , the digital nose, to change that. The Digital Nose’s sensors capture real-time data on the unique patterns of gases and VOCs (Volatile Organic Compounds), which are processed by the AI-powered digital brain . The system identifies these patterns, enabling real-time analysis and providing accurate insights about the detected scent or gas. Our sensors provide real-time data on the unique patterns of gases and VOCs (Volatile…from sniphi.com
In the maker’s words, at launch
Hi HN, I’m part of the team building Sniphi. Sniphi is a modular digital nose that uses gas sensors and machine-learning models to convert volatile organic compound (VOC) data into a machine-readable signal that can be integrated into existing QA, monitoring, or automation systems. The system is currently in an R&D…
Does a similar job
all alternatives →- ALAir Lab – A portable and open air quality measuring device2025 · networkedartifacts.com · ▲497
Hi HN! I’ve been working on an air quality measuring device called Air Lab for the past three years. It measures CO2, temperature, relative humidity, air pollutants (VOC, NOx), and atmospheric pressure. You can log and analyze the data directly on the device — no smartphone or laptop needed. To better show what the device can do and how it feels like, I spent the past week developing a web-based simulator using Emscripten. It runs the stock firmware with most features available except for networking. Check it out and let me know what you think! The firmware will be open-source and available…
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