Physical AI · Agentic AI · Materials economy
Harnessing the power of vision AI, agents and robotics to transform recycled and virgin material processing
Trusted by The WorLd's leading Companies
Products
EverestLabs Navigator watches the whole plant, and recommends and executes actions.
EverestLabs Robotics executes picking and sorting tasks at high speed on the belt.
Powered by edge vision AI and vision-language-model (VLM) trained in the real-world over 100B+ objects, EverestLabs digitizes chaotic material flow, and automates recovery at the speed of the belt.
Agentic AI
EverestLabs Navigator is an Agentic AI platform that increases revenue, reduces costs and improves worker safety.
Ask Navigator
Live
Navigator
Physical AI
AI driven high speed sorting increases material recovery and revenue, while eliminating safety issues.
01 Throughput
Problems Operators Face
Average belt utilization sits at 60–70% reducing your throughput and revenue.
Navigator tracks plant utilization and recommends load optimizations to reach its maximum capacity.
02 Recovery
Problems Operators Face
A typical facility loses ~$600K of recoverable materials to the landfill.
Navigator proactively monitors commodity losses and recommends upstream fixes.
03 Maintenance
Problems Operators Face
All unplanned belt and equipment failures lead to significant revenue losses.
Navigator’s Fleet Agent watches over your equipment and flags failures before they occur.
04 Audit
Problems Operators Face
Manual audits provide inaccurate data and are expensive.
Vision AI classifies every item continuously and creates a system of record, removing guesswork.
01 quality
Problems Operators Face
Mis-sorting is a common problem with legacy equipment resulting in poor quality and returned bales
Robotics quality control for high purity, high value bales including PET, HDPE, UBC, PP5, metals and fiber.
02 Recovery
Problems Operators Face
$100–800K a year of recoverable material leaves a typical facility for landfill
Last-chance recovery that captures missed recyclables and turns it into revenue.
03 Purity
Problems Operators Face
Expensive redesign of plants needed to accomodate changing goals for commodity recovery
Augmentation of sorting lines for more granular sorting (color, size, type) or capturing new commodities.
04 Yield
Problems Operators Face
No line however well staffed can can catch every recoverable item at today's speeds.
Automated cleanup that boosts purity and yield across diverse feedstock suppliers (for reclaimers).
Why Everestlabs
Our Physical AI solutions solve the structural problems of the material economy
Learn MoreINDUSTRIES
Material processing and recovery facilities, which are largely undigitized, are challenging environments and serve as a proving ground for the physical and agentic AI we build. The same agents and robotic arms now operate wherever materials move along a conveyor belt across the $1 trillion global materials market.

Critical infrastructure for recovery of commercial and consumer packaging waste

Chemical and mechanical processing of polymers providing critical feedstock for manufacturing and packaging





Our Business Model
We help install Navigator and Robotics in your facility. Our Remote Operations Center team monitors the plant, alerting you when intervention is needed.
Payback lands in under 12 months, guaranteed by SLA — a contract, not a goal. No expensive retrofits: it installs over the belts and lines you already run.
We install, monitor and manage the technology
Navigator AI Agents assist with plant operations
Install over existing belts and lines
Your operators retain full control over any changes