DFM Platform
DFM Funding Monitor

First fast and automated (<5 min) AI-based inspection to increase operational safety of large critical infrastructure, e.g., bridges, dams, and oil & gas platforms and refineriesbroad

Twinspect · Horizon Europe grant · 2023-12-01–2025-11-30

EC contribution

€2,497,425

Total cost

€3,567,750

Beneficiaries

1
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2023-ACCELERATOR-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2023-ACCELERATOROPEN-01. CORDIS record →

Objective

The global inspection, repair, and maintenance market (TAM) is valued at €42.2B. Demand is driven by increasing urbanisation. In Europe, most of the infrastructure is now reaching its 50-100 years lifespan as it was built in the 50s and 60s following the Marshall plan. The drone inspection and monitoring market (SAM) is growing rapidly and is currently valued at €11.1B. Drone inspections enable OPEX & CAPEX savings and keep inspectors safe on the ground. This is driving the demand for data management solutions (one bridge inspection generates >30GB of data), and provides a unique opportunity for intelligence service providers, like us, to enter the market with innovative AI-based solutions that simplify and automate infrastructure inspection. Twinspect is the first photogrammetry solution to enable the inspection of photorealistic 3D models of the infrastructure directly, rather than having to inspect and annotate (often multiple times) defects in large (>2k) photo libraries manually.

Beneficiaries (1)

OrganisationCountryRoleEC contributionSME
TWINSITY GMBH DE coordinator €2,497,425 Yes

Get the DFM funding briefing — free

New EU defence calls, tenders and awards in your inbox.

Countries
Sectors
Sources

We store your email only to send the DFM briefing/alerts and to add you to DFM Analysis. Unsubscribe anytime.

Defence Finance Monitor is an analytical and informational product. Grant data is official CORDIS; payment and subscription happen on DFM Analysis.