Sniffer Robotics Expands Methane Detection Services in South America
Sniffer Robotics has announced an international partnership with BRa Tecnologia Ambiental S.A. to expand its methane detection services in South America. In a press release, the company detailed that BRa-TA will join the Methane Analysis Partner Program (MAPP), gaining access to Sniffer Robotics' landfill methane detection technologies, including the SnifferDRONE™ and SnifferView™ GIS platform.
The partnership will initially focus on servicing landfill and RNG facilities in Argentina and Brazil, with plans to extend operations to Uruguay, Chile, Ecuador, and Peru. The collaboration began with monitoring surface emissions at the BRa Norte III Environmental Complex in Buenos Aires, one of the largest active landfills globally.
The SnifferDRONE CH4 Gen II, launched in January 2025, features a lighter payload and improved detection capabilities, making it a critical component of Sniffer Robotics' strategy to scale its business through the MAPP program. The drone's enhanced features include a 200% increase in flight time and improved terrain-following algorithms, providing a more efficient and user-friendly experience for partners.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Oct 16 Rareview and Tuttle Launch Humanoid Robotics ETF HOID Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 RoboParty launches open source RP1 humanoid robot Oct 16 Jodell Robotics Unveils Dexterous Hand and Tactile Sensors Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater VehicleRobotics Brief
Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
HyLight Raises €13 Million for Hydrogen Airship Inspections
Viabot Raises $24 Million for Outdoor Property Care Robots
Aatmunn Secures Up to $8 Million to Expand SPANR
Aventra Raises $17.5 Million to Scale Piranha Production
California Waste Solutions Adds AI Scanners at Oakland Recycling Plant
Daily AI Brief: the AI news that matters, in your inbox.