Paid, bounded engineering across three lanes: AI infrastructure on hardware you own, robotics and flight control from equations to firmware, and datasets, technical content, and websites through the Antsand pipeline.
Every engagement begins with one bounded question and ends with code, models, tests, documentation, and explicit limitations.
The same bounded process applies to every lane — contact us, explain the problem and the budget, we scope honestly together, and we deliver evidence.
Model bring-up, numerical-parity investigation, and CPU performance engineering with C-Kernel-Engine on clusters you own — Xeon, EPYC, or ARM.
Flight dynamics, state estimation, control systems, and embedded implementation — the same work published in our open flight-control repositories, from quaternion mathematics to test rigs.
Dataset creation and curriculum design, technical content, and deterministic websites built through the Antsand pipeline.
Four steps: contact us, explain your problem and your budget, we decide honestly whether and how we can help, and we deliver reproducible evidence. The diagram is the contract.
Each engagement is qualified against available hardware, source access, reference behavior, budget, and the evidence required to call it complete.
Rigid-body dynamics, rotor and actuator models, six-degree-of-freedom simulation, coordinate frames, and quaternion mathematics.
IMU processing, complementary and Kalman-family filters, attitude, velocity, and position estimation, and noise, bias, and uncertainty modeling.
PID and cascaded controllers, stability and response analysis, controller tuning, simulation before hardware, and explicit timing and safety boundaries.
C/C++ firmware for Linux and microcontroller targets, sensor and actuator interfaces, deterministic execution, and profiling, memory, and timing investigation.
Numerical reference models, software-in-the-loop, hardware-in-the-loop, thrust stands and physical test rigs, and reproducible reports with evidence boundaries.
Production autonomous flight, safety certification, and proven multi-node CKE scaling are not offered as established capabilities today.
Running AI on owned CPU infrastructure rather than an embedded control problem? That is the Work With Us path.
Begin with one bounded question — a behavior, limitation, model, or platform — with scope, reference, hardware, and acceptance criteria.
Define inputs, outputs, and acceptance tests before work begins, so complete has a measurable meaning.
Research findings, prototypes, and production claims are separated and labeled — never blended into one promise.
Code, models, tests, documentation, and limitations delivered as agreed — reproducible by your team.