Tensor R&D builds high-performance software at the frontier of algorithmic finance and autonomous defence — where precision engineering meets mission-critical reliability.
We operate across two high-stakes verticals, each demanding deterministic performance and rigorous mathematical foundations.
We design and operate high-frequency trading engines and algorithmic market-making programs that exploit microsecond-level inefficiencies. Our models are grounded in stochastic calculus, statistical arbitrage, and real-time orderbook dynamics.
We develop autonomous software control systems for unmanned aerial vehicles and robotics platforms. Our research spans real-time path planning, computer vision, swarm coordination, and mission-critical embedded systems.
Every system is grounded in formal research, validated under adversarial conditions, and designed for zero-fault operation.
Ultra-low-latency execution engines at microsecond resolution. Custom order routing and hardware-level optimisations.
Continuous liquidity provisioning using dynamic inventory management and real-time spread optimisation.
Complex mathematical models built on stochastic processes and Bayesian inference for alpha generation.
Embedded flight control software with real-time operating constraints for GPS-denied and contested environments.
Full-stack autonomous robotics from sensor fusion and perception to actuation in unstructured environments.
Distributed coordination for multi-UAV systems. Decentralised task allocation and adversarial resilience.
Two-body gravitational dipole interaction models, multipole expansions, and orbital stability under RK4 integration.
Comparing parametric Monte Carlo vs. non-parametric ML for calibrated probability estimation in prediction market microstructures.
Causal rolling Fourier filters that isolate high-frequency bid-ask bouncing without introducing SMA phase lag.
Interactive study of laminar viscous pipe flow, temperature-dependent viscosity, and parabolic velocity distributions.
Evolutionary neural network simulation built in Rust, featuring real-time brain topology and food foraging dynamics.
High-performance 3D spatial partitioning for planetary and stellar interactions using Barnes-Hut octree algorithms.
Exploring matrix kernel transformations, vector orthogonal complements, and interactive null space projections.
Interested in our high-frequency market making architecture or autonomous robotics research? Contact our team.