EverestLabs.AI

Cover Block

Metric	Value
Name	EverestLabs.AI
Tagline	AI-powered vision systems, data platforms, and robotic sorting arms for recycling and materials recovery facilities. [EverestLabs, retrieved 2025]
Headquarters	Fremont, California [LinkedIn, retrieved 2025]
Founded	2018 [Crunchbase, retrieved 2025]
Stage	Seed [Crunchbase, retrieved 2025]
Business Model	Hardware + Software
Industry	Cleantech / Climatetech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding Label	Undisclosed
Total Disclosed Funding	$28.37M [CB Insights, retrieved 2026]

Links

• Website: https://www.everestlabs.ai
• LinkedIn: https://www.linkedin.com/company/everestlabsai

The Short Version

EverestLabs.AI is applying AI and robotics to a fundamental industrial bottleneck, targeting the recycling industry's persistent struggles with labor shortages and low material recovery rates. Founded in 2018 by Sami Selcuk, the company has built a full-stack automation platform, RecycleOS, which combines high-speed computer vision, robotic sorting arms, and a data analytics layer to identify and recover recyclables from mixed waste streams on existing conveyor lines [PRNewswire, May 2024]. The company's wedge is a focus on rapid deployment and lower capital expenditure compared to traditional optical sorters, aiming to deliver a payback period measured in months [Everestlabs, retrieved 2025].

Selcuk leads a team with seasoned VPs in engineering, product, and sales, bringing experience from robotics, industrial tech, and the waste sector itself [Everestlabs, retrieved 2025]. The company is venture-backed, with investors including Xplorer Capital, Translink Capital, and Benhamou Global Ventures, and has raised a total of $28.37 million across several rounds [CB Insights, retrieved 2026]. Its business model combines hardware sales or leases for its robotic systems with recurring software revenue from the RecycleOS data platform.

Data Accuracy: YELLOW -- Core company details and funding total are confirmed; specific round details and performance claims are partially corroborated or company-sourced.

Taxonomy Snapshot

Axis	Classification
Stage	Seed
Business Model	Hardware + Software
Industry / Vertical	Cleantech / Climatetech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Solo Founder
Funding	Undisclosed

The Company in Brief

EverestLabs was founded in 2018 by Sami Selcuk, who remains the company's CEO [EverestLabs, retrieved 2025]. The company is headquartered in Fremont, California [Crunchbase, retrieved 2025]. Selcuk's background involves prior experience in Silicon Valley companies and startups [EverestLabs, retrieved 2025].

Public milestones are anchored by customer deployments. In August 2023, CNBC reported on the company's technology, highlighting its robotic arms capable of up to 80 picks per minute and its AI models trained on millions of images [CNBC, Aug 2023]. In May 2024, waste management giant Veolia announced the deployment of EverestLabs' AI-powered recycling robotics at its Southwark facility in London, marking the startup's first international installation [PRNewswire, May 2024]. This followed earlier deployments with Veolia in North America.

Crunchbase records investment from firms including Xplorer Capital and Translink Capital [Crunchbase, retrieved 2025]. CB Insights indicates a Series B round of $9.67 million led by Benhamou Global Ventures in March 2025, bringing total confirmed funding to $28.37 million [CB Insights, retrieved 2026].

Data Accuracy: YELLOW -- Foundational facts are confirmed by the company site and Crunchbase. Funding amounts are corroborated by CB Insights.

What They Have Built

EverestLabs's core offering is a vertically integrated hardware and software system designed to retrofit existing recycling lines. The company's RecycleOS™ platform combines high-speed computer vision, robotic arms, and a data analytics suite, aiming to replace or augment manual sorting stations [PRNewswire, May 2024]. The system identifies and recovers specific recyclable materials from mixed waste streams on conveyor belts, with robotic arms capable of executing up to 80 picks per minute [CNBC, Aug 2023] [EverestLabs, retrieved 2025].

The AI vision models are trained on millions of images of recyclable materials to maintain accuracy despite variable lighting, occlusion, and contamination [CNBC, Aug 2023]. The software provides real-time data and analytics on material composition, throughput, and contamination rates, marketed under four solution categories: Robotic Sorting, Audit & Compliance, Line Optimization, and Plant Monitoring [EverestLabs, retrieved 2025]. The platform also offers customizable sustainability metrics, such as estimated greenhouse gas and CO2e savings [EverestLabs, retrieved 2025].

Public messaging emphasizes rapid installation on existing conveyor lines without major facility overhauls, positioning it as a lower-capex alternative to large, centralized optical sorters [PRNewswire, May 2024].

Data Accuracy: YELLOW -- Core product claims are confirmed by company materials and press releases.

Market Size and Demand

The market for AI and robotics in recycling is defined by a structural labor shortage and regulatory pressure to improve recovery rates. The global waste management market was valued at $1.6 trillion in 2024 and is forecast to grow at a compound annual rate of 5.4% through 2032 [Grand View Research]. EverestLabs targets materials recovery facilities (MRFs) and plastics reclaimers in North America and Europe, aiming to replace manual sorting stations where labor costs and inefficiency are highest [PRNewswire, May 2024].

EverestLabs cites the potential to reduce a facility's labor costs by 30-50% [EverestLabs, retrieved 2025]. Brand owner commitments and Extended Producer Responsibility (EPR) legislation are mandating higher recycled content in packaging, pressuring recyclers to deliver higher-purity material streams. The company's data platform directly addresses this need for verifiable quality [PRNewswire, May 2024].

Market Segment	2024 Size	Projected CAGR / 2032 Size
Global Waste Management	$1.6 trillion	5.4% (CAGR to 2032)

Data Accuracy: YELLOW -- Market sizing is drawn from broad-sector reports.

Who Else Is Fighting for This

EverestLabs competes in a specialized niche where AI and robotics are being applied to modernize a historically manual, low-margin industrial process.

Company	Positioning	Stage / Funding	Notable Differentiator
EverestLabs.AI	AI vision + robotic arms + data platform for MRFs; emphasizes rapid deployment and lower capex.	Seed, Series A, Series B; $28.37M total raised.	Integrated RecycleOS data platform for analytics and compliance; targets retrofit on existing lines.
AMP Robotics	Pioneer in AI-guided robotics for recycling; develops both hardware and the underlying AI platform.	Later stage; raised over $150M.	Extensive deployment footprint; vertically integrated from AI to robot manufacturing.
Glacier	Develops AI-powered robots for sorting recyclables at a lower price point.	Early stage; raised $7.7M Seed.	Focus on affordability and ease of use for a broader range of facility sizes.
ZenRobotics	Heavy-duty robotic waste sorting systems, originally from Finland, for construction & demolition waste.	Acquired by MHS Global in 2022.	Specialization in heavier, bulkier waste streams beyond post-consumer MRFs.
Ishitva Robotic Systems	India-based developer of AI and robotics systems for sorting municipal solid waste.	Early stage.	Focus on waste management challenges and economics in emerging markets.
Greyparrot	AI waste analytics software; provides computer vision for waste audits but does not sell robotic arms.	Series A; raised $14.5M.	Pure-play software model analyzing waste composition for brands and regulators.

Data Accuracy: YELLOW -- Competitor profiles and funding are confirmed via Crunchbase and Tracxn.

Opportunity

The prize for EverestLabs is a dominant position in the $1.2 trillion global waste management market by automating its most critical and expensive bottleneck: the manual sorting of recyclables.

EverestLabs's systems are designed for rapid deployment on existing conveyor lines with a lower capital expenditure than traditional optical sorters [PRNewswire, May 2024]. This practical focus on integration and payback period, claimed to be as little as four months [EverestLabs, retrieved 2025], directly addresses the capital constraints and operational conservatism of the waste industry. Winning the trust of a global operator like Veolia for deployments in both North America and the UK provides a critical proof point that the technology works at scale in complex, real-world environments [PRNewswire, May 2024].

Data Accuracy: YELLOW -- Opportunity framing relies on company claims for value propositions and payback periods.

Sources

1. [EverestLabs, retrieved 2025] EverestLabs - AI-Powered Recycling Robots | https://www.everestlabs.ai
2. [PRNewswire, May 2024] Veolia Adds EverestLabs' AI-Powered Recycling Robotics in First International Deployment | https://www.prnewswire.com/news-releases/veolia-adds-everestlabs-ai-powered-recycling-robotics-in-first-international-deployment-302541595.html
3. [CNBC, Aug 2023] EverestLabs using robotic arms and AI to make recycling more efficient | https://www.cnbc.com/2023/08/08/everestlabs-using-robotic-arms-and-ai-to-make-recycling-more-efficient.html
4. [Crunchbase, retrieved 2025] Everestlabs.AI - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/everestlabs-ai
5. [LinkedIn, retrieved 2025] Everestlabs.AI | LinkedIn | https://www.linkedin.com/company/everestlabsai
6. [CB Insights, retrieved 2026] EverestLabs - Products, Competitors, Financials, Employees, Headquarters Locations | https://www.cbinsights.com/company/everest-labs
7. [Tracxn, retrieved 2026] Everest Labs - 2026 Company Profile, Team, Funding & Competitors - Tracxn | https://tracxn.com/d/companies/everestlabs/__QXPbajtKDlLmEBz4dXhQ-_ZEPHNn6ym-RLP-vM1I98s
8. [MarketsandMarkets] Industrial Robotics Market | https://www.marketsandmarkets.com/Market-Reports/industrial-robotics-market-643.html
9. [Grand View Research] Waste Management Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/waste-management-market