WEFLO, a South Korean startup developing AI-powered diagnostic solutions for mobility equipment, has closed a $3.65M (KRW 5.5B) Series A funding round, bringing its total capital raised to $7.84M (KRW 11.8B). The company plans to use the investment to sharpen its diagnostic technology and accelerate expansion into defense, public sector, and international markets.

WEFLO combines fusion sensor-based hardware with AI-driven data analytics software to detect anomalies and predict failures in mobility equipment before they occur. Its solutions span the full lifecycle of mobility operations — from quality inspection on the production line to real-time condition monitoring in the field — enabling data-driven identification of potential issues at every stage.

The technology has already earned its stripes in defense and public sector applications. WEFLO completed a combat experiment program with the Republic of Korea Army Training and Doctrine Command focused on drone maintenance inspection, and received a formal validation assessment. The company was also named to the Defense Acquisition Program Administration’s “Defense Innovation Company 100” list. On the international front, a collaboration with Polish defense firm WB Electronics has laid the groundwork for entry into overseas defense markets. Separately, as part of the Ministry of Land, Infrastructure and Transport’s drone delivery pilot program, WEFLO has deployed 152 delivery points across 19 local governments and 38 nationwide hubs, operating 29 AI inspection pads.

The company’s diagnostic capabilities are embedded in its smart inspection pad product line, branded verti-Pit. Operating without physical contact, the devices perform automated checks on key equipment conditions, simultaneously improving production efficiency and operational uptime. Data accumulated through this process feeds into the continuous development of its predictive maintenance models and the expansion of a big data platform.

The broader mobility industry is shifting rapidly toward software-defined architectures that integrate hardware capabilities with full-lifecycle data. In defense and logistics — sectors that operate large equipment fleets — minimizing unplanned downtime caused by mechanical failure has become a critical priority. WEFLO positions its AI diagnostics as a solution that improves both operational reliability and cost efficiency for these operators.

With the new funding, WEFLO will advance its predictive maintenance AI models and build an integrated data analytics platform capable of aggregating and analyzing diverse mobility datasets in a unified environment.

“The mobility industry is rapidly transforming toward a model where full-lifecycle manufacturing and operational data are unified to maximize product cycle efficiency,” said Euijeong Kim, CEO of WEFLO. “We plan to expand into physical AI-based businesses grounded in diagnostic technology and data, and to build a vertical AI domain purpose-built for the mobility industry.”

Founded in 2022 as an in-house venture within Hanwha Systems, WEFLO commercialized its technology around drone diagnostics before broadening its scope to cover a wider range of mobility sectors.