Bring the unsupported, slow, numerically wrong, or difficult-to-audit system.
We investigate concrete CPU AI, Linux, embedded-control, simulation, and evidence problems. The engagement begins with a reproducible question and ends with findings, artifacts, measurements, and explicit limitations.
We do not sell an undefined transformation programme or promise distributed performance before measuring the hardware.
Specific problems, inspectable outcomes
Each engagement is qualified against available hardware, source access, reference behavior, budget, and the evidence required to call it complete.
Feasibility and runtime investigation
Model architecture, memory footprint, quantization, kernel coverage, CPU topology, expected bottlenecks, reference setup, and a measured deployment path.
Parity and first divergence
Reproduce the mismatch, pin the oracle, compare intermediate tensors, locate the first wrong operation, and preserve the regression test.
C and Linux optimization
Profiling, kernel shapes, packing, threading, cache behavior, NUMA, compiler effects, ISA routing, and before/after evidence.
Simulation and embedded systems
Mathematical contracts, deterministic simulation, estimator or controller prototypes, embedded constraints, and a staged validation plan.
Technical architecture and reproducibility
Turn an undocumented implementation into a circuit map, experiment record, benchmark method, risk register, and engineering explanation.
Evidence-gated boundaries
Production autonomous flight, safety certification, and proven multi-node CKE scaling are not offered as established capabilities today.
What a bounded investigation produces
Question
A falsifiable technical question, scope, reference, hardware, and acceptance criteria.
Reproduction
Commands, pinned inputs, environment record, baseline measurements, and known failure.
Investigation
Source-level tracing, experiments, profiler evidence, numerical comparison, and constraint analysis.
Handoff
Patch or prototype, report, reproducible tests, measured result, risks, and next decision.
Antshiv Robotics builds intelligent systems we can understand all the way down, from mathematical kernels and CPU runtimes to simulation, flight control, and autonomous machines.