Objective
ADAM (AI-Driven Air Monitoring) is a Ukrainian deep-tech startup that transforms urban air quality management through mobile, AI- powered environmental monitoring. Our innovation combines QAL1-certified optical gas and particulate sensors with machine learning algorithms, installed on public transport and commercial vehicle fleets. This approach turns existing urban mobility infrastructure into a dynamic, real-time air monitoring network - offering an additional level for existing software approaches and existing stationary systems.
Unlike traditional monitoring stations, our platform enables high-resolution data collection on PM2.5 PM10, CO, CO2, NOx, SO2, temperature, and humidity across entire cities. It uses existing stationary systems for validation and system maintenance detection.
Our system integrates AI for data validation, anomaly detection, and pollution hotspot prediction. This not only improves air quality transparency for city planners and regulators, but also enables new services for healthcare, real estate, insurance, and logistics sectors.
ADAM's product architecture is modular, portable, and vehicle-agnostic. The project leverages certified European sensors and has demonstrated feasibility under laboratory conditions, with further refinement ongoing in sensor optimization, thermal management, and AI model training.
ADAM’s business model is still in development and focused on hardware sales or leasing (Hardware-as-a-Service), SaaS/API-based data subscriptions, and strategic B2B/B2G integrations (e.g. mobility, insurance). Target clients include municipalities, environmental agencies, logistics operators, and mapping platforms.
With an experienced founding team, a defined go-to-market strategy, and demand validated through pilot LOIs and competitions, ADAM aims to scale across the EU. The project seeds funding for product certification, market and business model development to establish itself as a key player in Europe's are quality monitoring.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences economics and business business and management business models
- engineering and technology environmental engineering air pollution engineering
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- social sciences social geography transport public transport
- natural sciences computer and information sciences artificial intelligence machine learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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HORIZON.3.1.3 - Additional EIC activities
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC - HORIZON EIC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2025-UKRAINIANTECH-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
03150 KYIV
Ukraine
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.