Clearbot

WATCH CPS 27

AI-enabled autonomous robotics platform for cleaning waterways and removing litter from oceans

Hong Kong, Hong Kong·Founded 2019·~18 emp·PRIVATE · clearbot.org ↗ ↓ JSON ↓ MD
Researched 2026-03-10 ● Current
Clearbot — robotics.press intelligence card

Clearbot occupies a specialized niche in autonomous waterway cleanup robotics with credible early deployments across India, Hong Kong, and the Philippines, supported by institutional backers like Alibaba Entrepreneurs Fund. However, extremely limited financial transparency (~$700k total funding), a tiny team of 18, heavy public-sector dependency, and unproven ability to convert pilots into recurring multi-year contracts keep this firmly in 'watch' territory until scaling evidence materializes.

Moat NARROW

- Purpose-built autonomous vessel portfolio specifically designed for waterway cleanup and inspection — a niche few competitors actively target - Early mover relationships with government agencies and development banks (ADB, JNPA, Hong Kong Highway Department) that create reference deployments and institutional trust - Integrated data/reporting layer (waste characterization, inspection video archives) bundled with physical cleanup services adds switching cost potential - Operational know-how from multi-geography deployments in challenging urban waterway conditions (monsoon environments, dense vegetation, port operations)

Management ADEQUATE

No leadership names, titles, or biographical information are disclosed in any available materials, which is a significant red flag for investor diligence. The presence of Alibaba Entrepreneurs Fund as a seed investor suggests some institutional vetting occurred, but without visible executive profiles, governance structure, or domain expertise verification, management quality cannot be meaningfully assessed.

Financials OPAQUE
Bull Case

Multi-geography operational traction with named clients including Jawaharlal Nehru Port Authority (Mumbai), Hong Kong Highway Department, and Metro Manila municipalities — demonstrating real-world deployment beyond lab prototypes

ADB-convened multi-stakeholder event in January 2026 and mayoral endorsements in Metro Manila signal institutional momentum and potential pathway to development-bank-funded scale programs

Service/rental business model lowers adoption barriers for budget-constrained public-sector clients and creates potential for recurring revenue streams versus one-time hardware sales

Quantified operational claims are compelling: 260 tons of hyacinth removed in two weeks, 500 kg trash per deployment, and under-platform 1080p inspection — addressing acute, measurable pain points in developing urban markets

Modular vessel portfolio (Class 2, Class 3, Alligator, Fetch) covering trash recovery, vegetation removal, bathymetric survey, and infrastructure inspection provides cross-selling opportunities within existing client relationships

Macro tailwinds from urbanization, ESG mandates, electrification requirements, and service robotics market growth (projected robust through 2033) align with Clearbot's positioning

Bear Case

Extremely limited capitalization (~$700k total funding per Premier Alternatives) is dangerously thin for a hardware-plus-services robotics company requiring fleet manufacturing, maintenance, and multi-geography operations

No disclosed revenue figures, gross margins, contract backlog, or fleet utilization metrics — making financial viability assessment impossible; aggregator data is sparse and sometimes conflicting

Heavy public-sector dependency exposes the company to budget cycles, procurement delays, and political transitions that can stall pilot-to-program conversions indefinitely

Leadership team is entirely undisclosed in available materials — no named executives, no published bios — creating a significant governance and key-person risk blind spot

Battery endurance (2-8 hours) and range (3-5 km) constrain operational coverage; scaling to larger waterway systems requires significant charging infrastructure and logistics investment

Regulatory frameworks for autonomous surface vessels are immature and vary by jurisdiction; any adverse regulatory development could freeze deployments across markets

Key Risks

Financial runway risk: ~$700k total funding is insufficient to scale fleet manufacturing and multi-geography operations without imminent additional capital raises

Pilot-to-contract conversion risk: Current deployments appear largely pilot-stage; failure to convert Metro Manila and India engagements into multi-year recurring contracts would stall growth

Regulatory risk: Autonomous surface vessel regulations are nascent across target markets; adverse regulatory changes could halt operations

Key-person and organizational risk: With only 18 employees and no disclosed leadership, the company is vulnerable to talent departures and lacks organizational depth

Competitive entry risk: Larger maritime robotics or environmental services companies could enter the waterway cleanup niche with superior resources if the market proves attractive

Entity confusion risk: Third-party databases conflate Clearbot with an unrelated 'Clear Bot' entity in Latvia, complicating diligence and potentially investor communications

Catalysts

Conversion of Metro Manila pilot into a multi-year municipal service contract, potentially backed by ADB or development bank funding

Expansion to additional Indian ports following JNPA reference deployment, leveraging India's Sagarmala port modernization program

New funding round (later-stage VC event flagged for September 2025) that would validate valuation and provide scaling capital

Launch of productized data analytics offerings (waste characterization dashboards, hotspot mapping) that could improve margins and create software-like recurring revenue

Regulatory acceptance or certification of autonomous surface vessel operations in any target market, reducing adoption friction industry-wide

Irreplaceability 4
Market Weight
Tech Differentiation
Operational Deployment
Strategic Momentum
Ecosystem Influence
Coverage Necessity
Fin. Valuation
Fin. Revenue
TypeQuick Research
Published2026-03-10
Length2,265 words · 10 min read
Sources12 sources cited

Generated by automated research. Cross-reference with primary sources before investment decisions.

Alligator USV · FIELDED
└─ Autonomous electric surface vessel specialized for heavy aquatic vegetation removal and hyacinth control in waterways. Deployed in a highlighted vegetation removal project where 260 tons of hyacinth were collected over two weeks; 3,000 sqm of thick vegetation cleaned in 2 weeks in an India-based project.
Fetch USV · FIELDED
└─ Small autonomous electric surface vessel for retrieval, logistics support, and light-duty operations in confined waterways.
Class 3 USV · FIELDED
└─ Autonomous electric surface vessel designed for high-capacity cleanup and multi-role waterway management tasks including trash recovery, vegetation removal, and surveys. Supports multiple mission roles including high-capacity trash recovery, vegetation removal, bathymetric survey, draft survey, and under-platform infrastructure surveillance with 1080p live video streaming and archived recordings accessible remotely.
Class 2 USV · FIELDED
└─ Compact autonomous electric surface vessel for cleanup and survey operations in confined waterways and ports. Deployed at Jawaharlal Nehru Port Authority (JNPA), Mumbai, India for trash removal over a 5,000 sqm area; approximately 3,000 kg of waste removed in that project scope. Also deployed for under-platform surveillance work with Hong Kong Highway Department over a 5,000 sqm area using 1080p live video feed and recordings.
Samyuktha Sriram Head of
Utkarsh Goel Co-Founder
Sidhant Gupta CEO
Clearbot Contact
Computer vision L3 · AI / Analytics
Load carrying L3 · Logistics
Patrol & Surveillance L1
Camera-based identification L3 · Visual Detection
Seabed survey L3 · Subsea Inspection
Perimeter Patrol L2 · Patrol & Surveillance
Navigation L2 · Autonomy & Software
Pipeline & Utility L2 · Inspection
Autonomous route following L3 · Perimeter Patrol
Visual Detection L2 · Detection
Mission planning L3 · C2 / Fleet Management
Command and control L3 · C2 / Fleet Management
C2 / Fleet Management L2 · Autonomy & Software
Obstacle avoidance L3 · Navigation
Combat Support L1
Autonomy & Software L1
Subsea Inspection L2 · Inspection
Detection L1
AI / Analytics L2 · Autonomy & Software
Solar panel L3 · Pipeline & Utility
Logistics L2 · Combat Support
Inspection L1