SciTransfer
Organization

OMNIFLOW SA

Portuguese SME behind an omnidirectional hybrid wind-solar system, now expanding into IoT-based urban air quality monitoring platforms.

Technology SMEenergyPTSMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
1
Total EC funding
€209K
Unique partners
4
What they do

Their core work

OMNIFLOW SA is a Portuguese technology SME that designs and commercializes hybrid renewable energy systems built around their proprietary omnidirectional wind turbine combined with solar photovoltaic technology. Their core product targets off-grid power applications — specifically telecommunication base stations and intelligent street lighting — where grid connection is impractical or cost-prohibitive. More recently they have extended their activity into smart city environmental monitoring, contributing IoT platform capabilities and machine learning-based analysis to high-resolution urban air quality mapping. This trajectory suggests a company that began as a hardware energy innovator and is now building toward connected, data-driven urban infrastructure solutions.

Core expertise

What they specialise in

Omnidirectional hybrid wind-solar energy systemsprimary
1 project

The Omniflow project (2015), led by OMNIFLOW as coordinator under SME Instrument Phase 1, developed next-generation hybrid wind and solar power technology around their proprietary omnidirectional wind turbine concept.

Off-grid power for telecommunications and intelligent lightingprimary
1 project

Project keywords from Omniflow explicitly cite off-grid telecommunication base stations and intelligent lighting as the primary target applications for their hybrid energy system.

IoT platforms and smart city data infrastructuresecondary
1 project

In MappingAir (2019–2022), OMNIFLOW contributed IoT and Platform-as-a-Service capabilities to a large-scale urban air quality mapping system across multiple cities.

Urban air quality sensing and environmental monitoringemerging
1 project

MappingAir focused on mapping urban air pollution using electrochemical sensors, particulate matter detection, and gas sensors combined with machine learning — an area OMNIFLOW entered as a participant contributor.

Evolution & trajectory

How they've shifted over time

Early focus
Hybrid wind-solar off-grid power
Recent focus
IoT air quality smart cities

OMNIFLOW's first H2020 engagement in 2015 was squarely in renewable energy hardware: an omnidirectional wind turbine combined with solar PV for off-grid applications, a clear product-development and commercialization play. By 2019, their project involvement had shifted entirely toward digital infrastructure — IoT platforms, machine learning, and electrochemical sensor networks for smart city air quality monitoring. This is a meaningful pivot: from physical energy generation devices toward connected environmental data systems, suggesting either a deliberate product line expansion or a repositioning toward the smart city technology market where their distributed energy expertise provides a differentiated entry point.

OMNIFLOW is moving from renewable energy hardware toward connected smart city IoT platforms, making them a candidate partner for projects that combine distributed energy systems with urban environmental sensing or intelligent infrastructure.

Collaboration profile

How they like to work

Role: specialist_contributorReach: regional2 countries collaborated

OMNIFLOW has led one project (a small SME Phase 1 feasibility study) and joined a larger Innovation Action as a participant, showing comfort in both lead and support roles but a limited consortium-building track record to date. Their network is narrow — just 4 unique partners across 2 countries — which is typical of an early-stage SME still establishing its EU collaboration footprint. A future partner should expect a focused technical contributor with proprietary product assets rather than an experienced consortium organizer for complex multi-partner projects.

OMNIFLOW has worked with only 4 unique partners across 2 countries in their entire H2020 history, reflecting a very early-stage and geographically limited collaboration network. Their partnerships are concentrated in Portugal with limited European reach, indicating they are still building the consortium relationships common among more established research SMEs.

Why partner with them

What sets them apart

OMNIFLOW's proprietary omnidirectional wind turbine concept sets them apart from companies offering conventional small wind or standard solar-only solutions — their hybrid system is designed for reliability in variable wind conditions, which is a real differentiator for off-grid telecom and lighting deployments. Their subsequent move into IoT and machine learning-based environmental sensing suggests they may be working toward integrated smart infrastructure products that combine distributed energy generation with data collection at the same physical node. For consortium builders in smart cities, clean energy access, or connected infrastructure, they offer an unusual combination of energy hardware origination and emerging digital platform competency within a single small Portuguese company.

Notable projects

Highlights from their portfolio

  • Omniflow
    OMNIFLOW's own SME Instrument Phase 1 project as coordinator — a competitive solo-company feasibility grant that formally validated their proprietary omnidirectional hybrid wind-solar product concept at EU level.
  • MappingAir
    Their largest and most recent H2020 engagement (EUR 159,040, 2019–2022), demonstrating a significant pivot into IoT-based urban air quality mapping using electrochemical sensors and machine learning at city scale.
Cross-sector capabilities
Smart cities and urban digital infrastructureEnvironmental monitoring and air quality managementTelecommunications infrastructure (off-grid power supply)IoT and connected environmental sensor networks
Analysis note: Only 2 projects available, one of which was an SME Phase 1 feasibility study (EUR 50,000, 2015) — essentially a proof-of-concept grant. The profile captures a genuine and interesting evolution in focus, but the thin data means expertise depth cannot be confirmed with confidence. The pivot from energy hardware to IoT and smart city sensing is real based on keyword evidence, but may reflect a participation-level contribution in MappingAir rather than deep proprietary expertise in that newer domain.