From certifiable ML systems for aviation to computer vision for industrial automation — we deliver production-grade AI solutions engineered for the physical world.
Deep technical expertise applied where it matters most — at the intersection of software, hardware, and intelligence.
End-to-end software for autonomous vehicles, drones, and robotic platforms. From perception pipelines and sensor fusion to path planning and real-time control — built for safety-critical environments.
Production-grade ML systems for detection, tracking, classification, and visual understanding. Optimized for edge deployment, tested for reliability, and engineered for certification where required.
High-fidelity simulation environments for testing autonomous systems before deployment. Configurable rendering pipelines, synthetic data generation, and hardware-in-the-loop validation frameworks.
Technical guidance for organizations adopting AI. We evaluate feasibility, architect solutions, select vendors, and build proof-of-concepts — grounded in real production engineering experience, not slide decks.
Flexible collaboration tailored to your project needs — from short-term consulting to embedded team integration.
Focused assessments, architecture reviews, and AI readiness evaluations. Ideal for organizations exploring technical feasibility or selecting the right approach.
Scoped deliverables with clear milestones. From PoC to production-ready modules — we own the engineering from design through delivery.
Embedded as senior engineers within your team. We adapt to your workflows, tools, and sprint cycles while contributing deep domain expertise.
Ongoing technical advisory for strategic decisions, code reviews, architecture guidance, and mentoring — a fractional CTO for your AI initiatives.
Every capability is backed by hands-on engineering in aviation, defense, and industrial systems — not just research papers.
ML-based detection systems designed to meet aerospace certification standards (EASA / FAA). Deep understanding of DO-178C software lifecycle and safety assurance processes.
Wide-angle environmental awareness using stereo cameras for depth estimation, obstacle detection, and real-time 3D scene reconstruction in airborne environments.
gRPC-based rendering systems that expose simulation engine parameters through APIs, enabling dynamic scene generation for testing and validation at scale.
Reinforcement learning-based exploration and mapping for autonomous aerial vehicles operating in unknown spaces without external positioning systems.
Rust, C++, Python — clean architecture with emphasis on computational efficiency, maintainable codebases, and real-time performance guarantees.
Our solutions operate in domains where reliability, performance, and safety are non-negotiable.
Whether you need a full autonomous system, a targeted ML solution, or strategic AI guidance — let's engineer it together.
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