• Post category:Articles
  • Post published:18.6.2025

Revolutionizing Real-Time AI at the Edge: NinjaLabo

NinjaLabo is developing lightweight AI that runs directly on satellites, drones, and edge devices — enabling real-time decisions without cloud delays. Supported by the Location Innovation Hub, the company is a great example of how collaboration can help innovative SMEs scale and connect with new partners in the geospatial domain.

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CEO Hiroshi Doyu from Ninjalabo.

NinjaLabo is a deep-tech company pushing the boundaries of real-time AI processing in space and edge environments. It operates as a Software-as-a-Service (SaaS) platform with a subscription-based model. Their advanced AI compression platform enables machine learning models to run directly on satellites, drones, and embedded devices. This provides rapid, real-time decision-making without dependence on cloud-based infrastructure.

Today’s AI applications are often limited to cloud environments that require heavy GPUs and high bandwidth. In mission-critical sectors like disaster response or environmental monitoring, that dependency causes delays as satellite imagery can take over 30 minutes to return to Earth for analysis.

“In time-sensitive scenarios, that lag can hinder response efforts. NinjaLabo is solving this by making AI lighter, faster, and deployable at the edge”, explains CEO Hiroshi Doyu from Ninjalabo.

The Solution: Real-Time AI at the Edge

NinjaLabo’s platform compresses and optimizes AI models so they can run on satellites, drones, and other edge devices. This results in up to 75% reductions in model size, bandwidth needs, and memory usage. These improvements unlock AI applications in space, remote terrains, and autonomous platforms.

“Our software-first model supports rapid deployment across multiple sectors, including Earth observation, robotics, and other edge AI applications”, says Doyu.

Looking Ahead

NinjaLabo at the Polar Bear Pitching event in Oulu. The company is looking to expand its network of customers who could use its technology to develop new innovations.

NinjaLabo’s focus on lightweight, deployable AI aligns well with Location Innovation Hub’s mission to promote innovation in the location intelligence domain. Use cases such as onboard satellite analytics, drone-based crop monitoring, and smart city surveillance all require efficient AI models that can process data on-device; a need that NinjaLabo directly addresses.

“Ninjalabo is a great example of an SME that we have supported on its journey. Through collaboration, LIH can help unlock new partnerships”, customer manager Joonas Jokela from LIH says.

The Location Innovation Hub’s collaboration with NinjaLabo provided support to find investments and customers. The company has received Business Finland Tempo funding and a grant from The European Space Agency (ESA). The collaboration will also continue through the Location Innovation programme, which aims to encourage the public sector to adopt innovative solutions and to promote access to public procurement for SMEs and start-ups.

Interested in working with NinjaLabo?

NinjaLabo is searching for networks and customers that could use their technology in making new innovations, particularly those working with satellite systems, Earth observation, robotics, IoT devices, or edge AI.

Their solutions are ideal for satellite manufacturers, AI developers seeking model compression, and industries leveraging geospatial data for smarter decision-making.

“Whether you’re a startup or a large organization, NinjaLabo provides a competitive edge that can solve critical challenges and unlock new business opportunities. If you are interested to hear more about our solutions, let us know!” Hiroshi Doyu encourages.