The verified answer
As of Oct 2026, DEPLOY verifies EverestLabs: 2 models, 2 deployments across 2 regions, $26.4M raised. 1 source back the record.
Overview
AI-powered waste sorting robotics company developing RecycleOS, an AI software and robotics system for materials recovery facilities (MRFs). Based in Fremont, California, EverestLabs uses computer vision and robotic cells to recover recyclables with over 90% efficacy, deployed at MRFs across the US including Sims Municipal Recycling in Brooklyn, New York.
Verified record
- Verified deployments
- 2 deployments on file
- Active incidents
- None on file
Valuation of record
DEPLOY VERIFIEDPriced roundSeries A post-money
Key facts
Focus
Technology
Stage
Company type
Goal
CEO
Data & sources
Web sources
1
1 source backing this record.View all →
EverestLabs on the deployment map
View the global map2 verified deployments across 2 regions, newest verified Jun 2024. Explore where EverestLabs's robots are operating, by place and type.
View the full EverestLabs deployment record →
Relationships
Current leadership (2)
- JD Ambati Founder & CEOsecondary-verified
- Areeb Malik Chief Executive Officersecondary-verified
Founders (1)
- JD Ambatisole
Former / Previously (1)
- JD Ambati Foundersecondary-verified
Safety record
No incidents on record for EverestLabs.
Only active incidents are counted. Retracted incidents are excluded from this summary but remain reachable at their canonical URLs.
Full safety record: incidents, sourcing, and exposure data →
Operator customers (1)
- EverestLabs2 deployments
Recent coverage
EverestLabs in third-party press
Peers
96 peers across 2 segments. Every EverestLabs competitor derived from shared form-factor and application-domain edges.
industrial robot(75)
33 companies in this segment · moderately_concentrated (HHI 2051.61304640928) · leader Mind Robotics at 3415%
- ABB Roboticsdirect competitor(inferred)moderate
- AMP Roboticsdirect competitor(inferred)moderate
- ASUSdirect competitor(inferred)moderate
- ATOMSdirect competitor(inferred)moderate
- Acuminodirect competitor(inferred)moderate
- Allonicdirect competitor(inferred)moderate
chip(21)
2 companies in this segment · highly_concentrated (HHI 6159.122085048011) · leader Kneron at 7407%
- Applied Materialsdirect competitor(inferred)moderate
- Aurriondirect competitor(inferred)moderate
- BYD Batterydirect competitor(inferred)moderate
- ByteDancedirect competitor(inferred)moderate
- ENSCOdirect competitor(inferred)moderate
- Eagle Test Systemsdirect competitor(inferred)moderate
Financial state
- Total funding
- $26.4M
- Reporting basis
- private_reported
- Lifecycle stage
- mature
- Counterparty risk class
- low
Each numeric field carries its own basis marker. Aggregators report a number; this surface preserves the source class so verification depth travels with the value.
Funding rounds (1)
- Series A2022-09-28
$16M(reported) · $97M post
Investors: Translink Capital, NEC Orchestrating Future Fund, Benhamou Global Ventures, Sierra Ventures, Morado Ventures, Xplorer Capital
Timeline
Every recorded move in EverestLabs’s history, most recent first: funding rounds, partnerships, acquisitions, supply-chain starts, key hires, and press.
Funding roundSeries A funding round
2022-09-28Series A raising $16100000
Recent activity
Every change to this record is dated, sourced, and independently verified where marked.
- Record createdJun 24, 2026
Added to the verified registry
- Deployment verifiedVerifiedJun 1, 2024
RecycleOS at Chicago
- Deployment verifiedVerifiedMar 1, 2022
RecycleOS at Brooklyn
Sources (1)
Common questions
What is EverestLabs?
What does EverestLabs make?
Is EverestLabs publicly traded?
Who competes with EverestLabs?
Who is the CEO of EverestLabs?
How can I invest in EverestLabs?
Where is EverestLabs headquartered?
How much funding has EverestLabs raised?
Who owns EverestLabs?
Where does EverestLabs operate robots?
How many robots has EverestLabs deployed?
Is EverestLabs a top robotics company?
Is EverestLabs safe?
Methodology: Verified · 1 source (no primary) · last reviewed 2026-08-21
Verification posture
Verified
Low confidence
Review state
Stable
Last reviewed 2026-08-21
Sources by quality tier
- 1
- unclassified
- Unclassified source
The framework is documented at /methodology. Corrections at /corrections. Reviewer: DEPLOY editorial team.
Methodology surface for EverestLabs.Peer companies
- Roborock20 models
- Unitree Robotics10 models
- DJI7 models
- DLR Institute of Robotics and Mechatronics6 models
- Gobio Robot6 models
- Orbbec6 models
In the press
Recent coverage mentioning EverestLabs from third-party publications. Automatically surfaced; not part of the verified registry record.
EverestLabs RecycleOS sorting robot assists new Chicago recycling facility
EverestLabs RecycleOS sorting robot deployed at The Exchange, a new Chicago recycling facility, with funding from Can Manufacturers Institute.
AI, data and robotics: How Everest Labs is transforming recycling against hard labor costs
Interview with EverestLabs CEO JD Ambati on how AI and robots are working together to improve recycling efficiency and address labor shortages.
EverestLabs raises 16.1M to grow RecycleOS system
EverestLabs raised 16.1M in Series A funding led by Translink Capital to scale its RecycleOS AI-enabled operating system for recycling facilities.
Machine-readable surfaces
- Markdown mirror: /companies/everestlabs.md
- RSS feed: /companies/everestlabs/feed.xml
- JSON-LD: embedded in this page’s head
- REST API: /v1/companies/df41a48b-922b-4692-a93b-b40945952eb6
- Revision history: /companies/everestlabs/history
- Data documentation: /data
- Query this programmatically: Deploy MCP
Peer companies
- Roborock20 models
- Unitree Robotics10 models
- DJI7 models
- DLR Institute of Robotics and Mechatronics6 models
- Gobio Robot6 models
- Orbbec6 models
Video
Two EverestLabs robots in tandem to recover recyclable materials off a 25-degree last-chance line. These two robots alone keep 1 million recyclables out of land
EverestLabs Founder and CEO JD Ambati gives Recycling Product News Editorial Director Arturo Santiago a tour of the EverestLabs facility in Fremont, California,
Recycling Robots in Action: AI-Powered Sorting for MRFs Watch EverestLabs' recycling robots transform material recovery with sorting across multiple facility l
Recycling Robots in Action: AI-Powered Sorting for MRFs Watch EverestLabs' recycling robots transform material recovery with sorting across multiple facility l
Channel 7 Exclusive: Veolia ANZ chooses Everestlabs AI and robotics to digitize and automate sorting operations at one of its material recovery facilities (MRFs
These 4 EverestLabs robots have been picking recyclables for 2 years without any repairs needed and with 99.9% uptime.
Fox News visits UWS in Los Angeles, CA to discuss recycling in the US and how EverestLabs' AI and robotics solution is transforming recycling for the better.
EverestLabs is revolutionizing recycling with AI and robotics. We provide Material Recovery Facilities (MRFs) and recyclers with the intelligence and automation
EverestLabs offers a variety of mounting types for our robotics based on the needs of the recycling facility, including over the conveyor and pedestal. Our ro
This video shows an EverestLabs AI and robotic system sorting on a residue line in a recycling facility. This robot is recovering valuable recyclable materials
This video shows an EverestLabs AI and robotic system sorting on a residue line in a recycling facility. This robot is recovering valuable recyclable materials
Heat Index
Category contender75/100
A composite of competitive footprint, funding, press velocity, active partnerships, and supply-chain edges. Different from the Intelligence score below (which is per-form-factor productization). Non-robotics companies cap at 25.
Reality vs attention
EverestLabs draws attention at the 51st percentile but verifies reality at the 35th percentile among other robots. Hype Gap +15.3, 115th widest among other robots.
6-month trend
Analysis
Clean safety record across 2 verified deployments. Deployment footprint remains limited relative to category peers.
Signal flags
Dimension breakdown
Verified signal
Attention (reach, not merit)
DEPLOY Intelligence scores are computed from verified registry data: confirmed deployments, disclosed funding rounds, regulatory filings, active job listings, video viewership, and press coverage. Confidence ratings reflect data availability. Scores update nightly.
DEPLOY Indices — verified vs claimed
Last computed: Oct 1, 2026