Pilogic Inc. is a fast-growing innovator in the field of artificial intelligence and has raised $4 million in seed rounds to expand its “precise AI” technology – a dedicated building model for high-risk environments such as aerospace, defense, and space technology. The round is led by Scout Ventures and Seraphim Space, with additional involvement from Sovereign’s Capital, Flex Capital, FN Fund and Superangel Gokul Rajaram.
Unlike generative AI models that use large data sets to generate reasonable responses to open tips, Pilogic focuses on precision, efficiency, and reliability, which is essential in aerospace and defense. Its proprietary reasoning engine allows decisions to be made at the edge of satellites, aircraft and other remote systems without high computational costs or ambiguous output burden.
“We don’t do what LLMS does.” explain Mark Chavirafounder and chief technology officer of Pilogic and former director of Google AI. “Our model is domain-specific, built for speed and provides mathematically accurate answers. They are perfect for around the right critical use cases. ”
New aerospace AI
Pilogic’s platform integrates probabilistic inference, logical reasoning, machine learning, and search algorithms into faster and more accurate models than general purpose LLMS – no high-powered GPU or large-scale training datasets are required.
In aerospace and defense, sensor fusion and diagnosis can mean the difference between mission success and failure, which is a game-changer.
Key applications already in flight:
- Radar tracking model: Orbit and distinguish between flying objects in 3D space (e.g., drones and aircraft), even at close distances or across paths. It extends to Sonar, Lidar and GPS use cases to provide precise object classification for autonomous systems and defense platforms.
- Satellite power diagnosis: Predict failures and use onboard sensor data to provide real-time remediation advice for satellite electrical systems. Through NASA validation, the model can operate directly on satellites without laziness or dependence on Earth-based systems.
- Sensor Fusion: Combining readings from multiple sensor modes solves inconsistencies to produce a unified high confidence output in dynamic environments such as battlefield intelligence or track tracking.
Built for advantages, trusted by experts
Unlike pilogic, its ability to operate on remote or constrained hardware such as satellites or drones does not offload it to the cloud. This is possible because its model is very lightweight, optimized mathematically and based on first engineering principles.
The breakthrough in efficiency stems from its novel use of problem structures, which allows AI to bypass brute force computing in favor of intelligent, structured inference, an approach that has been independently verified as the fastest known technology in probability inference.
This architectural positioning of pilogic can replace traditional rules-based systems and eliminate the need for ongoing human supervision in a context where secondary, highly accurate decision-making is critical.
“We believe that many key applications, especially in defense and space, cannot be reliably solved by generated AI at all.” explain Johannes WaldersteinCEO of Pilogic. “Our exact AI bridges with math rigorous, expert domain input and scalable deployments.”
Elite teams power precise vision
Pilogic’s founding team brings world-class AI, Avionics and Startup Execution experience:
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CTO Mark Chavira spent 12 years working on designing aviation systems for Thor Design Systems, earned her PhD in probabilistic reasoning, worked with NASA, and later led a 125 AI/ML team at Google.
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Johannes Waldstein, CEO, is a serial entrepreneur who previously founded Fan.ai, an AI-powered ADTECH platform used by major brands such as Coke and Pepsi.
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CRO’s Geoff Bough served as No. 8 employee at Fanduel and helped expand the company before Flutter, Caesars and Triller took executive roles.
Looking to the future
As Pilogic strives to expand its operations, its focus remains fixed on the domain of life that depends on the correct answer, rather than very likely.
Whether it is enabling autonomous flights, predicting satellite failures before failure, or converging sensor data in real time for threat detection, Pilogic’s target AI platform is uniquely built for the future of mission-critical aerospace and defense.
Investors stay consistent behind Pilogic’s differentiated AI approach:
Brad HarrisonFounder of Scout Ventures: “Pilogic’s lightweight, efficient and precise reasoning engine will help map new lessons for AI in industries such as aerospace and defense. Their teams and technologies are ineffective tasks.”
Andre RonsoehrSeraphim Space partners: “The space industry is still burdened by rules-based systems and human inefficiency. Pilogic offers the most viable alternative I’ve ever seen, and it’s not only different, but better.”
