CleanRobotics

Cover Block

PUBLIC

Name	CleanRobotics
Tagline	AI and robotics for smart waste management and recycling at the point of disposal.
Headquarters	Longmont, CO
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	Series A (total disclosed ~$10,800,000)

Links

PUBLIC

• Website: https://cleanrobotics.com/
• LinkedIn: https://www.linkedin.com/in/charles-yhap-83923a9/

Executive Summary

PUBLIC

CleanRobotics is a cleantech company applying AI and robotics to sort waste at the point of disposal, a bet that deserves attention for its direct, hardware-enabled approach to a stubborn global problem [CleanRobotics]. Founded in 2015, the company's core product, TrashBot, is a smart bin designed for high-traffic commercial facilities like airports and campuses, aiming to improve recycling purity and provide data-driven waste audits [CleanRobotics]. The founding team combines a mission-driven CEO, Charles Yhap, with a decade of social entrepreneurship experience, and technical co-founders with backgrounds in robotics and engineering [CleanRobotics, LinkedIn, 2026].

To date, the company has secured an estimated $10.8 million in total funding, including a Series A round in 2022 and grants from entities like the U.S. Environmental Protection Agency, indicating validation from both venture and public sector sources [PitchBook] [Startup Intros]. Its business model involves selling hardware units and, historically, a recurring software service for data analytics [GeekWire, 2018]. Over the next 12 to 18 months, the key watchpoints will be the commercial scaling of its newer, smaller TrashBot models and the translation of its high-profile pilot deployments, such as the one at Pittsburgh International Airport, into a broader, repeatable sales motion [CleanRobotics].

Data Accuracy: YELLOW -- Core company facts are confirmed by its website and founder LinkedIn profiles; funding totals are reported but vary between sources.

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	Series A (total disclosed ~$10,800,000)

Company Overview

PUBLIC CleanRobotics was founded in 2015 in Longmont, Colorado, with a focus on applying robotics to environmental challenges [Crunchbase]. The company's founding team, including Charles Yhap, Tanner Cook, and Vaishnavi Krishnamurthy, sought to address inefficiencies in recycling by moving sorting from remote facilities to the point of disposal [CleanRobotics]. Early development was supported by participation in hardware accelerators, including AlphaLab Gear and SOSV's HAX program, which provided initial capital and engineering resources [Startup Intros].

A key early milestone was the launch of the flagship TrashBot product, a smart waste bin designed for commercial facilities. The company secured its first institutional seed funding of $500,000 in July 2018, led by Monozukuri Ventures [Startup Intros]. Subsequent growth was marked by a $4.5 million Series A round in August 2022 and a $400,000 grant from the U.S. Environmental Protection Agency later that year [PitchBook]. These capital infusions supported the expansion of the product line and the pursuit of pilot deployments in target verticals like airports and corporate campuses.

The company's public trajectory shows a progression from prototype development to commercial deployment, with a notable partnership announced with Pittsburgh International Airport for a TrashBot installation [CleanRobotics]. While the specific legal entity structure is not detailed in public filings, the company maintains its operational headquarters in Colorado and has built a team around its core technical and commercial functions. Data Accuracy: YELLOW -- Founding date and location confirmed by Crunchbase; funding rounds and accelerator participation corroborated by multiple sources but with some conflicting totals. Early company narrative is sourced from its own website.

Product and Technology

MIXED The company's product line centers on a single hardware platform, TrashBot, which is a smart waste bin designed to sort materials at the point of disposal. According to the company's website, the system uses cameras, sensors, robotics, and machine learning to identify waste items and divert them into corresponding internal bins for recycling, landfill, or organics [CleanRobotics]. The core value proposition is twofold: increasing the purity of recycling streams by reducing contamination at the source, and generating data on waste composition and volume to inform facility operations and sustainability reporting [CleanRobotics].

CleanRobotics has expanded the TrashBot platform into three distinct models, each targeting a different segment of its commercial and institutional market. The flagship TrashBot Zero is described as an automated sorting solution capable of managing three to four separate waste streams [CleanRobotics]. A smaller, more economical version, TrashBot Slim, is positioned for office spaces and small businesses [CleanRobotics]. The company also offers a web application dashboard, providing customers with analytics on waste streams and notifications to streamline waste pickup schedules [jialiulabs.com].

Public performance claims for the technology focus on sorting accuracy. Multiple independent sources, including an XPRIZE Foundation reference and a Reddit discussion citing company materials, report that TrashBot sorts waste with 95% accuracy [XPRIZE Foundation] [Reddit, 2022]. A separate, commonly cited metric states the system separates recyclable from landfill items with 90% accuracy [horecatrends.com] [Reddit, 2022]. The underlying tech stack is described as leveraging recycling AI, computer vision, and machine learning, though specific model architectures or sensor suites are not detailed in public materials (inferred from product descriptions).

Data Accuracy: YELLOW -- Product features and model names are confirmed by the company's primary website. Performance claims are cited by multiple third-party sources but lack independent, dated verification from technical reviews or customer case studies.

Market Research

MIXED, The market for AI-driven waste sorting sits at the intersection of two powerful, converging trends: the global push for corporate sustainability and the maturation of computer vision for industrial applications.

Third-party market sizing specifically for smart waste bins is not widely published. Analysts can triangulate by examining the broader waste management and recycling technology sectors. According to a report cited by the company, the global waste management market was valued at $1.6 trillion in 2022 and is projected to reach $2.5 trillion by 2032 [CleanRobotics]. While this figure encompasses the entire industry from collection to disposal, it provides a top-down view of the total addressable market for any solution aiming to improve efficiency within the system. A more focused segment, the smart waste management market, was estimated at $1.8 billion in 2023 and is forecast to grow to $6.5 billion by 2032 [CleanRobotics]. This narrower segment includes sensor-based bins, route optimization software, and data analytics platforms, representing the serviceable available market for CleanRobotics's data-centric approach.

Global Waste Management Market (2022) | 1600 | $B
Smart Waste Management Market (2023) | 1.8 | $B
Smart Waste Management Market (2032 est.) | 6.5 | $B

The projected growth in the smart waste segment, at a compound annual rate of over 15% (estimated), is driven by several tailwinds. Corporate and municipal zero-waste mandates are creating a compliance-driven demand for better data and verifiable diversion rates [CleanRobotics]. Rising landfill costs and extended producer responsibility (EPR) laws, which hold brands accountable for end-of-life packaging, are increasing the economic incentive to recover materials [CleanRobotics]. Furthermore, the volatility of commodity markets for materials like aluminum and PET plastic makes a consistent, high-quality feedstock more valuable to recyclers, who may be willing to pay a premium for sorted streams from sources like airports or stadiums.

The company's immediate serviceable obtainable market is likely the subset of high-traffic commercial and institutional facilities within North America and other developed regions. These sites, including airports, corporate campuses, convention centers, and stadiums, face public scrutiny over sustainability, have dedicated facilities budgets, and generate waste volumes that justify the capital expenditure for automated sorting. Adjacent markets include the broader industrial robotics sector, where players like AMP Robotics operate in material recovery facilities (MRFs), and the environmental data analytics space, where companies sell software for carbon accounting and ESG reporting. A key regulatory force is the evolving landscape of packaging laws, such as California's SB 54, which mandates significant increases in packaging recycling rates and could spur investment in upstream sorting technology to meet targets [CleanRobotics].

Data Accuracy: YELLOW, Market sizing figures are cited from the company's own website, which references third-party reports without naming the specific research firms. The growth drivers and regulatory context are consistent with broader industry analysis.

Competitive Landscape

MIXED

CleanRobotics positions itself as a point-of-disposal hardware solution, a distinct niche within the broader waste sorting and recycling technology ecosystem that includes both large-scale industrial players and software-focused data providers.

Company	Positioning	Stage / Funding	Notable Differentiator	Source
CleanRobotics	AI-powered smart bin for sorting at point of disposal in commercial facilities.	Series A (~$10.8M total estimated) [PitchBook]	Hardware/software integration for on-site sorting; targets high-traffic public spaces.	[CleanRobotics]
AMP Robotics	AI-guided robotics for material recovery facilities (MRFs) and e-waste.	Series C ($91M+) [Crunchbase]	Focus on post-collection, high-volume sorting at industrial scale.	[Crunchbase]
Recycleye	AI vision and robotics for waste sorting in MRFs and packaging audits.	Venture (~$17M) [Crunchbase]	Computer vision software deployed on off-the-shelf robotic arms in MRFs.	[Crunchbase]
Glacier	AI and robotics for MRF and manufacturing line sorting.	Seed ($4.5M) [Crunchbase]	Lower-cost, adaptable robotic system designed for existing MRF infrastructure.	[Crunchbase]

The competitive map is segmented by where sorting occurs in the waste stream. CleanRobotics's TrashBot operates at the source generation point, intercepting waste before it enters a facility's single-stream bin. This contrasts directly with the core business of competitors like AMP Robotics, Recycleye, and Glacier, which are built for the post-collection environment of material recovery facilities. These MRF-focused companies compete on throughput, purity of output streams, and integration with conveyor systems, a market with different technical requirements and sales cycles. Adjacent substitutes include traditional waste management service providers who offer manual sorting or basic single-stream collection, as well as software platforms that provide waste auditing and analytics without physical sorting capabilities.

CleanRobotics's defensible edge today is its early-mover position in the specific niche of automated, public-facing point-of-disposal sorting. The company has secured initial deployments in high-profile, high-traffic locations like airports, which serve as visible reference sites [CleanRobotics]. This creates a data advantage: each public deployment generates a unique dataset on contamination and disposal behavior at the source, which can be used to refine its AI models. However, this edge is perishable. The hardware form factor and deployment model are not protected by significant intellectual property barriers evident from public filings, making the niche potentially attractive to other robotics firms or even traditional bin manufacturers seeking to add smart features.

The company is most exposed in two areas. First, it lacks the industrial scale and deep MRF relationships of a player like AMP Robotics, which has raised substantially more capital and is integrated into the core recycling infrastructure [Crunchbase]. This limits CleanRobotics's total addressable market to the upfront capital expenditure budgets of facility managers, rather than the operational budgets of waste processors. Second, its hardware-centric model faces competition from lower-cost or simpler solutions, such as smart bins that only provide fullness sensors and data analytics (like Compology) without robotic sorting, which may be sufficient for some customers focused solely on operational efficiency rather than purity rates.

The most plausible 18-month scenario is one of continued niche validation rather than winner-take-all consolidation. CleanRobotics could be a winner if it successfully converts its airport and campus pilots into larger, multi-unit fleet deals, proving a repeatable sales motion for its TrashBot Zero and Slim models. A loser in this period would be any point-of-disposal competitor that fails to move beyond pilot projects and demonstrate clear ROI in the form of reduced contamination fees or verified diversion rates. The MRF-focused segment will likely continue to consolidate around players with the strongest technology and distribution partnerships, a race in which CleanRobotics is not currently a participant.

Data Accuracy: YELLOW -- Competitor funding and positioning corroborated by Crunchbase; CleanRobotics's differentiation inferred from product descriptions. Direct competitive overlaps are not detailed in primary sources.

Opportunity

PUBLIC

If CleanRobotics can successfully convert its early airport and campus deployments into a standard for high-traffic facility waste management, the company could build a defensible position at the intersection of cleantech infrastructure and enterprise data services.

The headline opportunity is for CleanRobotics to become the default waste intelligence platform for large commercial and institutional real estate, a category defined not just by hardware sales but by the recurring data and service revenue from managing a distributed network of sorting assets. The evidence that makes this outcome reachable, rather than purely aspirational, is the company's demonstrated ability to place its flagship TrashBot in complex, regulated environments like major airports [CleanRobotics]. These sites represent a beachhead; they are high-visibility, operationally intensive facilities where waste sorting accuracy directly impacts sustainability reporting and compliance costs. A successful deployment at a location like Pittsburgh International Airport, which publicly cited the product's fit with its sustainability vision [CleanRobotics], provides a reference case for expansion across the broader aviation sector and into analogous venues such as convention centers, stadiums, and corporate campuses.

Growth from this beachhead could follow several concrete paths, each with identifiable catalysts.

Scenario	What happens	Catalyst	Why it's plausible
Airport & Transportation Hub Standard	TrashBot becomes a specified technology for new terminal construction and retrofits across North America, driven by aviation industry ESG mandates.	A partnership or procurement agreement with a major airport operator or concessions management company.	The company has already executed a pilot with Pittsburgh International Airport, which publicly framed the deployment as a strategic upgrade to recycling efforts [CleanRobotics]. The Port Authority of New York and New Jersey is also cited as a customer [SBIR, 2026].
Corporate Campus Land-and-Expand	A flagship deployment at a tech giant (e.g., Google, a cited customer [SBIR, 2026]) leads to adoption across that company's global real estate portfolio, then serves as a case study for peer companies.	A multi-unit, multi-year enterprise agreement with a global corporation with aggressive zero-waste goals.	The product's value proposition of data for waste audits and streamlined operations aligns directly with the sustainability reporting needs of large enterprises [CleanRobotics].
Regulatory & Municipal Partnership	Municipalities or waste authorities adopt TrashBot Zero for public spaces and mandate data sharing to improve city-wide diversion rates, creating a public infrastructure model.	A grant-funded pilot program with a city or county, potentially through existing relationships with agencies like the U.S. Environmental Protection Agency [PitchBook].	The company has already secured grant funding from government environmental programs [PitchBook], indicating an ability to navigate and align with public-sector sustainability initiatives.

Compounding for CleanRobotics would manifest as a data and distribution flywheel. Each new TrashBot deployment generates a continuous stream of localized waste composition data. Aggregated across hundreds or thousands of units, this dataset becomes a proprietary map of contamination trends, material flow, and disposal behavior by location and facility type. This data moat could improve the core AI's sorting accuracy over time, creating a performance gap versus new entrants. Furthermore, a growing installed base creates a recurring service and parts revenue stream, improving unit economics for future hardware placements. The company's mention of a web app dashboard for customers to analyze waste data [jialiulabs.com] suggests the initial infrastructure for this flywheel is already in place, turning a capital expenditure for the customer into an ongoing software relationship for CleanRobotics.

The size of the win, should the airport standardization scenario play out, can be contextualized by looking at the scale of the addressable facility base. While a direct public comparable is scarce, the strategic value can be inferred from the activity of later-stage competitors focused on a different part of the value chain. AMP Robotics, which applies AI and robotics to material recovery facilities (MRFs), has raised over $150 million [Crunchbase]. CleanRobotics' point-of-disposal approach targets the upstream, higher-margin opportunity of preventing contamination before it enters the waste stream. If the company captured a meaningful share of the North American market for smart waste solutions in airports, large campuses, and stadiums, a valuation trajectory toward the hundreds of millions of dollars is plausible (scenario, not a forecast). This outcome hinges on transitioning from successful pilots to scaled, multi-unit fleet deployments with the accompanying service revenue.

Data Accuracy: YELLOW -- Growth scenarios are extrapolated from cited pilot deployments and customer types; the scale of existing deployments and specific partnership terms are not publicly detailed.

Sources

PUBLIC

1. [CleanRobotics] CleanRobotics: Innovative solutions for a sustainable tomorrow | https://cleanrobotics.com/

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

3. [PitchBook] CleanRobotics - PitchBook Profile | https://pitchbook.com/profiles/company/...

4. [Startup Intros] CleanRobotics: Funding, Team & Investors | https://startupintros.com/orgs/cleanrobotics

5. [GeekWire, 2018] TrashBot: This machine-learning recycling bin sorts trash for you | https://www.geekwire.com/2018/trashbot-machine-learning-recycling-bin-sorts-trash/

6. [jialiulabs.com] CleanRobotics TrashBot Web Dashboard | https://jialiulabs.com/...

7. [XPRIZE Foundation] XPRIZE Carbon Removal Reference | https://www.xprize.org/prizes/...

8. [Reddit, 2022] Discussion on CleanRobotics TrashBot | https://www.reddit.com/...

9. [horecatrends.com] Smart Waste Management Trends | https://horecatrends.com/...

10. [Crunchbase] CleanRobotics - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/cleanrobotics

11. [SBIR, 2026] SBIR/STTR Award Data Sheet | https://www.sbir.gov/...

12. [US EPA, 2026] U.S. Environmental Protection Agency Grant Information | https://www.epa.gov/...