PiLogic Secures $4M to Bring Exact AI to Aerospace and Defense
PiLogic, a startup building precision-focused artificial intelligence, has raised $4 million in a seed round to expand its presence in the aerospace and defense sectors. The round was led by Scout Ventures and Seraphim Space, with support from Sovereign’s Capital, Flex Capital, FN Fund, and superangel Gokul Rajaram.
Advancing Mission-Critical AI Without Massive Compute
PiLogic is developing what it calls “exact AI”—an alternative to large language models that prioritizes speed, precision, and efficiency. Unlike traditional GenAI models, PiLogic’s approach doesn’t require massive datasets or high-end GPUs.
The platform uses a hybrid of AI techniques including logical inference, probabilistic reasoning, search algorithms, and machine learning. This enables it to integrate first principles of engineering and domain expertise directly into its models. As a result, PiLogic’s tools can operate in real-time, in resource-constrained environments, and on remote edge devices, including satellites.
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Targeting Critical Aerospace and Defense Use Cases
With the seed funding, PiLogic will scale its team and support early deployments across two domains where accuracy is non-negotiable: aerospace and defense. The company’s models are built to replace or augment legacy rules-based systems with higher precision and broader capabilities.
Its Radar Model can track and differentiate objects in 3D space, helping operators identify aircraft, drones, and other assets. Meanwhile, the Electrical Power System Diagnostics Model supports satellite health monitoring and component diagnostics using onboard sensor data, enabling near real-time fault detection and remediation.
Both models are built to run without relying on external infrastructure, providing an edge computing advantage that’s increasingly critical in space and defense operations.
Building AI That Thinks Like Experts
PiLogic’s inference engine represents a major leap forward in model efficiency and scalability. It is specifically designed to handle complex decision-making tasks that general-purpose models struggle with. This makes the platform particularly suitable for high-stakes environments.
The company plans to use the new funds to further refine its product suite, grow its engineering team, and support mission-driven customers working on some of today’s most pressing defense and aerospace challenges.
