EverestLabs Launches Navigator, an Agentic AI Platform for Materials Recovery and Recycling Plants
EverestLabs launched Navigator, an agentic AI platform for recycling plants that layers vision and reasoning agents to cut downtime and boost throughput.
Photo by CP Khanal on Pexels
EverestLabs, a Fremont, California-based industrial AI company, launched Navigator on August 24, 2026, a multi-agent AI platform built for material processing, recovery and recycling facilities that handle plastics, fiber and metals. The platform combines three layers of artificial intelligence in one system: edge vision models that classify material on the sorting belt, vision-language models that interpret each material stream in context, and reasoning and conversational agents that recommend and take action, according to the company’s announcement and trade outlet Recycling Product News, which independently covered the launch on August 25, 2026.
Navigator is designed to plug into existing plant control networks and legacy sorting equipment without requiring retrofits or halting production, EverestLabs said. The company said the system is trained on billions of data points and processes variable material flows at millisecond speeds, moving beyond static dashboards to actively monitor equipment health and coordinate plant systems in a continuous loop.
Claimed throughput and downtime benefits
EverestLabs said Navigator can boost a facility’s processing capacity by 20 to 30 percent by reducing material-flow problems and idle belt time. The company also said the platform’s predictive agents, which track equipment anomalies and flag failures before they occur, can save “millions of dollars” in avoided downtime, spare parts and related costs, though it did not publish an independently audited figure for these savings. EverestLabs CEO R. Paul Singh said in the launch announcement that the platform targets the roughly 93 percent of raw materials the company says currently go unrecovered: “By deploying Physical AI to recover the 93 percent of raw materials we currently never reuse, we’re not just boosting recycling; we’re building supply chain sovereignty, turning every recovered ton into a domestic asset that insulates manufacturers from global volatility.”
Navigator also tracks facility-level material composition, recovery rates and residue rates that are required under municipal contracts and Extended Producer Responsibility (EPR) regulations, which make manufacturers responsible for the end-of-life management of the packaging and products they sell. The company said this is intended to simplify regulatory audits and EPR compliance reporting for plant operators.
| Claimed benefit | EverestLabs figure |
|---|---|
| Facility throughput increase | 20-30 percent |
| Raw materials currently unrecovered (company estimate) | 93 percent |
| Launch date | August 24, 2026 |
| Materials covered | Plastics, fiber, metals |
| Early customer named | Caglia Environmental |
| Named integration partners | Schneider Electric, Pellenc ST |
Early customers and integration partners
EverestLabs named Caglia Environmental as an early Navigator customer. Corey Stone, plant manager at Caglia Environmental, said in the announcement that “Navigator has removed the guesswork from our daily operations and makes our MRF a fully AI run and managed plant.” The company also said it is working with Schneider Electric and Pellenc ST to integrate Navigator into their industrial automation ecosystems. Pellenc ST CEO Jean Henin and Schneider Electric’s Pierre-Emmanuel Cotte both commented on the integration in the launch materials, describing it as part of a broader shift toward AI-orchestrated sorting operations. None of the companies’ statements about performance gains have been independently verified by a third party as of this article’s publication.
Navigator builds on EverestLabs’ existing product line. The company previously launched RecycleOS, described as the first AI-powered operating system for recycling facilities, and supplies AI-guided robotic sorting systems already deployed at recycling plants, including an international deployment with waste management company Veolia. That existing base of AI vision and robotics customers gives Navigator a deployment path without requiring facilities to adopt entirely new hardware. Elsewhere in the sector, Fraunhofer IPA and Polysecure have built a separate AI robot to sort mixed textile waste, reflecting a wider push to apply AI-driven sorting across different material streams, while a recent capacity report found only 5 percent of EU ship tonnage was recycled in Europe over seven years, underscoring the scale of the recovery gap that platforms such as Navigator aim to address.
About EverestLabs
EverestLabs is a Fremont, California-based company that describes itself as a leader in physical and agentic AI for the industrial materials economy. Its product portfolio spans two platforms: EverestLabs Robotics, which the company says has the industry’s largest installed base of AI-powered high-speed sorting systems, and Navigator, the orchestration layer launched in August 2026. The company’s systems are used across recycling, resource recovery, metals, e-waste, packaging and mining operations. EverestLabs is backed by investors including Benhamou Global Ventures. The Navigator launch follows the company’s earlier work building RecycleOS and its robotic sorting systems, extending its AI focus from physical sorting hardware into software-based orchestration of entire plant operations.
Sources: EverestLabs; Recycling Product News
Featured image: photo by CP Khanal on Pexels (free Pexels license).
Become a Sponsor
Our website is the heart of the mission of WINSS – it’s where we share updates, publish research, highlight community impact, and connect with supporters around the world. To keep this essential platform running, updated, and accessible, we rely on the generosity of you, who believe in our work.
We offer the option to sponsor monthly, or just once choosing the amount of your choice. If you run a company, please contact us via info@winssolutions.org.
I specialize in sustainability education, curriculum co-creation, and early-stage project strategy. At WINSS, I craft articles on sustainability, transformative AI, and related topics. When I’m not writing, you’ll find me chasing the perfect sushi roll, exploring cities around the globe, or unwinding with my dog Puffy — the world’s most loyal sidekick.