CleanRobotics

PUBLIC

Field	Detail
Name	CleanRobotics
Tagline	AI and robotics for automated waste sorting and data analytics in high-footfall facilities.
Headquarters	Pittsburgh (United States)
Founded	2015
Stage	Series A
Business Model	Hardware + Software
Industry	Cleantech / Climatetech
Technology	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding Label	Undisclosed (total disclosed ~$100,000)

Links

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• Website: https://cleanrobotics.com/
• LinkedIn: https://www.linkedin.com/company/cleanrobotics

Executive Summary

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CleanRobotics is a Pittsburgh-based cleantech company applying AI and robotics to automate waste sorting at the point of disposal, a bet that addresses the costly and persistent problem of recycling contamination in high-traffic commercial facilities [GeekWire, May 2018]. Founded in 2015, the company has developed its flagship TrashBot, a smart bin that uses cameras, sensors, and machine learning to identify and separate landfill from recyclable waste internally before reporting stream data back to facility managers [Semtech / Sierra Wireless, 2020s]. The founding team, which includes CEO Charles Yhap and technical lead Thomas Askey, emerged from the Pittsburgh robotics ecosystem and has secured early-stage backing from accelerator AlphaLab Gear and a $4.5 million Series A round in 2022 [Tracxn, retrieved 2026]. Its business model combines hardware sales with a recurring monthly software service for analytics, targeting long-term contracts in venues like airports and stadiums where waste volume justifies the capital expenditure. Over the next 12-18 months, the key monitorable will be the transition from pilots with entities like the Port Authority of New York and New Jersey to scaled, multi-unit deployments that demonstrate clear unit economics and customer renewal [cleanrobotics.com]. The company's technology partnership with Semtech for cellular connectivity provides a tangible signal of product maturity, though the path to widespread adoption in a traditionally slow-moving facilities management sector remains the central execution challenge.

Data Accuracy: YELLOW -- Core product and founding details are confirmed by multiple sources; specific funding amounts and customer deployment scale rely on limited public disclosures.

Taxonomy Snapshot

Axis	Classification
Stage	Series A
Business Model	Hardware + Software
Industry / Vertical	Cleantech / Climatetech
Technology Type	AI / Machine Learning
Geography	North America
Growth Profile	Venture Scale
Founding Team	Co-Founders (3+)
Funding	Undisclosed (total disclosed ~$100,000)

Company Overview

PUBLIC

CleanRobotics was incorporated in 2015, a founding date that places it among the earlier entrants in the now-crowded field of AI-driven waste management [Crunchbase, retrieved 2024]. The company is headquartered in Pittsburgh, Pennsylvania, a location consistent with its origins and the technical talent pool of the region [LinkedIn, retrieved 2024]. Its initial public positioning focused on solving the pervasive problem of recycling contamination in public spaces through automation, a mission articulated in early media coverage [GeekWire, May 2018].

Key operational milestones appear to follow a pattern of gradual technical validation and targeted market entry. The company's first significant product, the TrashBot, was developed and publicly featured by 2018 [GeekWire, May 2018]. Early capital included a seed round and participation in the AlphaLab Gear hardware accelerator program, though specific amounts and dates for these are not detailed in public filings [Waste Dive]. A more substantial Series A round was closed in August 2022, totaling $4.5 million according to a secondary data provider [Tracxn, retrieved 2026]. The company has also secured non-dilutive funding, including a $400,000 SBIR grant from the U.S. Environmental Protection Agency [US EPA].

Team composition and leadership have evolved. Public records list multiple co-founders, including Charles Yhap (CEO), Thomas Askey, Tanner Cook, and Vaish Krishnamurthy [Tracxn, retrieved 2026]. Koushil Sreenath, an associate professor at UC Berkeley with a background at Carnegie Mellon University, is also cited as a co-founder and former CTO, providing a link to academic robotics research [technical.ly, retrieved 2024] [aero.berkeley.edu]. The current leadership, with Charles Yhap as CEO, has been active in promoting the company's mission through podcast interviews and industry forums in recent years [xiaoyuzhoufm.com, 2023] [ITU AI for Good].

Data Accuracy: YELLOW -- Founding date and HQ are corroborated. Funding round details are from a single secondary source (Tracxn) and an undated EPA citation. Team composition is pieced together from multiple sources with some inconsistencies.

Product and Technology

MIXED

The core proposition is a hardware and software system designed to intercept and sort waste before it enters a mixed stream. CleanRobotics’ flagship product, TrashBot, functions as a closed-loop sorting station at the point of disposal [Perplexity Sonar Pro Brief, retrieved 2024]. When a user deposits an item, the unit’s door closes, and internal sensors, including cameras and a scale, analyze the object [Perplexity Sonar Pro Brief, retrieved 2024]. The system then classifies the material, drains any residual liquids, and directs the item into one of several internal bins designated for landfill or specific recyclables [Perplexity Sonar Pro Brief, retrieved 2024]. This automated process aims to eliminate human error at the source, directly addressing the high contamination rates that render public recycling streams economically unviable.

Beyond the physical sorting, the product’s value is augmented by a connected data layer. Each TrashBot unit incorporates Sierra Wireless cellular modules for remote connectivity, enabling the transmission of waste-stream analytics to a central software dashboard [Semtech / Sierra Wireless, 2020s]. CleanRobotics offers this analytics capability as a monthly software service, allowing facility managers to track material types, disposal volumes, and contamination trends over time [Perplexity Sonar Pro Brief, retrieved 2024]. The company has developed at least three hardware models,TrashBot, TrashBot Slim, and TrashBot Zero,to accommodate different installation footprints and waste volumes [technical.ly, retrieved 2024]. The TrashBot Zero variant appears focused on waste identification and data capture without internal sorting, suggesting a potential lower-cost entry point for customers [Robotics 24/7].

Publicly cited deployments, primarily framed as pilots or case studies, validate the system’s operation in demanding, high-traffic environments. A case study published by the company claims a TrashBot unit at an airport sorted nearly 2,500 items with 96% accuracy, abating an estimated 307 pounds of carbon dioxide equivalent [cleanrobotics.com]. Other named pilot sites include Dallas Fort Worth International Airport, The Port Authority of New York and New Jersey, and Children’s Hospital Los Angeles [aroptions.com]. The technology stack is built around computer vision and machine learning for classification, robotics for actuation, and IoT connectivity for data aggregation, though specific model architectures or sensor suites are not detailed in public sources.

Data Accuracy: YELLOW -- Product mechanics and features are described in multiple independent sources, but detailed technical specifications and performance data beyond a single case study are limited.

Market Research

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Automated waste sorting has moved from a niche environmental initiative to a core operational efficiency lever for large facilities, driven by rising landfill costs, tightening regulations, and corporate sustainability mandates. While CleanRobotics does not publish its own market sizing, the demand drivers for its category are well-documented across public infrastructure and corporate sustainability reports.

Public waste management data frames the scale of the problem. The U.S. Environmental Protection Agency (EPA) reported that in 2018, the total generation of municipal solid waste was 292.4 million tons, with a recycling rate of 32.1% [US EPA]. Contamination of recycling streams, often cited as a primary failure point, can render entire batches unrecyclable, incurring significant processing fees and reputational risk for facilities. The company's focus on high-footfall venues like airports and stadiums targets a segment where waste volumes are concentrated and contamination is high due to user error. A 2020 report by the Airports Council International noted that airports globally serve over 9 billion passengers annually, generating substantial waste streams where sorting inefficiencies are costly [Airports Council International].

Demand tailwinds are structural. First, landfill tip fees have risen steadily, increasing the direct cost of mis-sorted waste. Second, corporate Environmental, Social, and Governance (ESG) reporting requirements are pushing facility managers to improve waste diversion metrics and data granularity. Third, municipal and state regulations, such as extended producer responsibility laws and bans on certain materials in landfills, are creating compliance pressure that favors automated, auditable systems. CleanRobotics' software analytics service directly addresses this third driver by providing the data trail required for reporting.

Adjacent and substitute markets highlight both opportunity and competition. The broader industrial robotics and AI vision market for material handling is a multi-billion dollar space, with firms like AMP Robotics applying similar technology to post-collection Material Recovery Facilities (MRFs). CleanRobotics' point-of-disposal approach represents a different, earlier intervention in the waste stream. Key substitute solutions include manual sorting (labor-intensive), single-stream recycling (which suffers from high contamination), and educational signage campaigns (which have shown limited efficacy in transient public spaces). The company's bet is that automation at the bin is a more reliable and data-rich control point.

Metric	Value
U.S. Municipal Solid Waste (2018)	292.4 million tons
Recycling Rate (2018)	32.1 %
Global Airport Passengers (pre-pandemic)	9 billion

The cited figures, while not a direct TAM calculation, illustrate the massive volume of the underlying waste stream and the specific, concentrated venues CleanRobotics targets. The gap between total waste and the recycling rate represents the operational and economic headroom for any technology that can improve sorting accuracy. For investors, the market question is less about the total addressable waste tonnage and more about the willingness of large facility operators to pay for capital-intensive hardware to address a portion of that stream.

Data Accuracy: YELLOW -- Market sizing is inferred from analogous public sector reports (EPA, ACI) rather than a dedicated third-party analysis of the smart bin segment.

Competitive Landscape

MIXED CleanRobotics enters a competitive field defined by a split between large-scale industrial sorting systems and point-of-disposal consumer-facing units, with its position hinging on automating the moment of discard before contamination occurs.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
CleanRobotics	Point-of-disposal robotic sorting bin for high-footfall public spaces.	Series A ($4.5M, Aug 2022) [Tracxn, retrieved 2026]	Focus on pre-contamination sorting and real-time data at the bin.	[cleanrobotics.com]
AMP Robotics	AI-powered robotics for material recovery facilities (MRFs) and e-waste.	Series C ($91M, Nov 2022) [Crunchbase]	High-speed, industrial-scale sorting for post-collection waste streams.	[Crunchbase]
Recycleye	Computer vision and robotics for waste sorting in MRFs, primarily in Europe.	Series A (£17M, Sep 2023) [Crunchbase]	Focus on AI vision software that can retrofit onto existing MRF infrastructure.	[Crunchbase]
Glacier	AI and robotics for sorting at MRFs and manufacturing facilities.	Seed ($7.7M, Mar 2024) [Crunchbase]	Targets lower-cost, modular robotic cells for specific material streams.	[Crunchbase]
Everest Labs	AI and robotics for recycling and organics recovery in MRFs.	Series A ($24.1M, Apr 2023) [Crunchbase]	Full-stack solution combining robotics, AI, and facility performance software.	[Crunchbase]

The competitive map segments into three primary layers. The first is the industrial post-collection layer, dominated by players like AMP Robotics, Everest Labs, and Pellenc ST, which install robotic arms on conveyor belts inside large Material Recovery Facilities. These companies compete on sorting speed, accuracy, and total cost of ownership for processing tonnes of commingled waste. The second layer is the public point-of-disposal layer, where CleanRobotics operates alongside companies like Bin-e, which offers smart bins with compartment sensors but less robotic automation. This segment competes on user experience, contamination prevention, and the operational data provided to facility managers. A third, adjacent layer includes waste analytics software providers that audit waste streams without providing sorting hardware, acting as potential partners or substitutes for the data component of CleanRobotics' offering.

CleanRobotics' defensible edge today is its integrated hardware-software system designed specifically for the chaotic, single-item environment of a public trash receptacle. The partnership with Semtech/Sierra Wireless for cellular connectivity [Semtech / Sierra Wireless, 2020s] indicates a focus on reliable, remote data transmission, a practical necessity for distributed deployments. This edge is durable if the company can continue to refine its on-device AI to handle a vast and unpredictable array of waste items without frequent human intervention. However, it is perishable because the core sensor and robotic actuation technology is increasingly commoditized; a well-funded competitor could replicate the form factor while layering on a more sophisticated AI model or a stronger sales channel.

The company's most significant exposure is its narrow focus on the initial point of disposal. It does not compete in the high-volume, high-margin MRF sorting market, which is where the majority of venture capital in the sector has flowed. Furthermore, its business model, which involves selling or leasing expensive hardware into facilities with long procurement cycles, may be vulnerable to simpler, cheaper solutions that address contamination through user education or improved bin design. A specific competitive threat could come from a company like AMP Robotics, which has deep industrial relationships and capital, deciding to move upstream into consumer-facing bins, leveraging its brand and distribution.

The most plausible 18-month scenario is one of continued niche dominance paired with slower-than-hoped commercial scaling. The winner in this segment will be the company that first proves a clear, quantifiable return on investment for facility operators, moving from a sustainability purchase to a core operational efficiency tool. If CleanRobotics can use its pilot data from airports and hospitals [cleanrobotics.com] to secure multi-unit fleet contracts, it could establish a defensible beachhead. The loser will be any point-of-disposal competitor that cannot demonstrate a reduction in net waste handling costs; without that, the category risks being relegated to a small, discretionary line item for corporate social responsibility budgets.

Data Accuracy: YELLOW -- Competitor funding and positioning are sourced from Crunchbase, but specific differentiators are inferred from public positioning. CleanRobotics' own stage is confirmed.

Opportunity

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If CleanRobotics can reliably automate the first step of the waste stream, it positions itself to own the data layer for a multi-billion dollar global recycling industry.

The headline opportunity is to become the default hardware and data platform for commercial waste management, akin to what Square did for payments at the point of sale. The company's cited deployments in high-footfall facilities like Dallas Fort Worth International Airport and The Port Authority of New York and New Jersey provide the initial wedge [aroptions.com]. These venues represent not just unit sales, but strategic beachheads where contamination is a costly, visible problem. By solving it with a closed-loop robotic system, CleanRobotics creates a physical touchpoint that generates a proprietary data stream on waste composition,a dataset that is currently fragmented and self-reported. This combination of automation and analytics could allow the company to evolve from a bin manufacturer into the operating system for sustainable facility management.

Several concrete paths could propel the company from these beachheads to massive scale.

Scenario	What happens	Catalyst	Why it's plausible
Regulatory Standard	Municipalities or states mandate smart sorting in public spaces to meet recycling targets.	A major city (e.g., New York, San Francisco) pilots TrashBot as part of a zero-waste initiative and adopts it as a standard.	The company is already engaged with public entities like The Port Authority of New York and New Jersey [sbir.gov], and its technology directly addresses legislated diversion goals.
Embedded OEM	TrashBot's sorting intelligence is licensed and embedded into waste-hauler equipment or building management systems.	A partnership with a major waste management firm (e.g., Waste Management, Republic Services) or a building controls giant (e.g., Johnson Controls).	CleanRobotics has a documented technology partnership with Semtech/Sierra Wireless for connectivity modules [Semtech / Sierra Wireless, 2020s], demonstrating an ability to integrate its stack with third-party hardware.

What compounding looks like begins with data. Each deployed TrashBot improves the company's machine learning models for material identification, creating a performance moat that competitors without a deployed fleet cannot match. This improved accuracy increases diversion rates, which directly translates to cost savings for facility operators,the core value proposition. Those savings justify further deployments, generating more data. Furthermore, the analytics service provides recurring revenue and deepens customer lock-in; operators become reliant on the platform's reporting for their own sustainability metrics and compliance [Perplexity Sonar Pro Brief, retrieved 2024]. This creates a classic hardware-enabled software flywheel: better hardware drives adoption, which improves the software, which increases the value of the hardware.

The size of the win can be framed by looking at a public peer. AMP Robotics, a competitor focused on post-collection sorting, achieved a valuation reportedly approaching $1 billion following a Series C round in late 2022 [Crunchbase]. AMP's model is centered on high-throughput facilities further down the waste chain. If CleanRobotics successfully executes its point-of-disposal strategy and captures a meaningful portion of the commercial and institutional market, a comparable billion-dollar outcome is plausible. This represents the value of becoming the category-defining platform for automated waste sorting, not a forecast of CleanRobotics' specific trajectory.

Data Accuracy: YELLOW -- The core opportunity thesis is built on cited deployments and partnerships, but specific financial metrics and market share data are not publicly available.

Sources

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1. [GeekWire, May 2018] Meet the TrashBot: CleanRobotics is using machine learning to keep recycling from going to waste | https://www.geekwire.com/2018/meet-trashbot-cleanrobotics-using-machine-learning-keep-recycling-going-waste/

2. [Semtech / Sierra Wireless, 2020s] CleanRobotics TrashBot Smart Recycling Bin | https://www.sierrawireless.com/resources/customer-stories/cleanrobotics-trashbot/

3. [Tracxn, retrieved 2026] CleanRobotics - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/cleanrobotics

4. [Crunchbase, retrieved 2024] CleanRobotics - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/cleanrobotics

5. [LinkedIn, retrieved 2024] CleanRobotics | LinkedIn | https://www.linkedin.com/company/cleanrobotics

6. [Waste Dive] CleanRobotics | (URL not found in provided snippets; omit)

7. [US EPA] CleanRobotics | (URL not found in provided snippets; omit)

8. [Perplexity Sonar Pro Brief, retrieved 2024] CleanRobotics Brief | (URL not found; omit)

9. [technical.ly, retrieved 2024] Americans aren't good at recycling. CleanRobotics wants to make it easier with AI | https://technical.ly/startups/cleanrobotics-recycling-ai/

10. [aero.berkeley.edu] Koushil Sreenath | (URL not found; omit specific URL)

11. [xiaoyuzhoufm.com, 2023] Interview with Charles Yhap, CEO, Clean Robotics - Climate Change with Scott Amyx | https://www.xiaoyuzhoufm.com/episode/64b4c01c0cf1d90a6a737b87

12. [ITU AI for Good, 2020s] CleanRobotics | https://aiforgood.itu.int/speaker/cleanrobotics/

13. [cleanrobotics.com] TrashBot: The smart recycling bin that sorts at the point of disposal | https://cleanrobotics.com/trashbot/

14. [Robotics 24/7] CleanRobotics | (URL not found; omit)

15. [aroptions.com] CleanRobotics | (URL not found; omit)

16. [Airports Council International] Airports Council International report | (URL not found; omit)

17. [sbir.gov] CleanRobotics | (URL not found; omit)

18. [podcasters.spotify.com, 2023] #6 - Charles Yhap, CEO of CleanRobotics by The Artificial Intelligence Podcast | https://podcasters.spotify.com/pod/show/tonyphoang/episodes/6---Charles-Yhap--CEO-of-CleanRobotics-e250k7c

19. [music.amazon.com, 2023] #6 - Charles Yhap, CEO of CleanRobotics-The Artificial Intelligence Podcast | https://music.amazon.com/podcasts/a234479e-4a21-4768-94c4-383bc8de9043/episodes/58725803-1fa1-48e1-9b42-56b8ef0d9d41/the-artificial-intelligence-podcast-6---charles-yhap-ceo-of-cleanrobotics

20. [scottamyx.com, 2023] Interview with Charles Yhap, CEO, Clean Robotics | https://scottamyx.com/2023/07/17/interview-with-charles-yhap-ceo-clean-robotics/

21. [LinkedIn, retrieved 2026] Charles Yhap - CleanRobotics | LinkedIn | https://www.linkedin.com/in/charles-yhap-83923a9/

22. [Solar Impulse Foundation, 2010s/2020s] CleanRobotics | https://solarimpulse.com/companies/cleanrobotics