Do more locally.
Benchmark perception and inference on available accelerators before committing to a custom design. Keep field power and thermal limits central.


AI acceleration, sensor processing and compute modules. A silicon roadmap built around the workloads our machines need to run.
Our first step is to characterize real workloads: perception, sensor fusion, compact models and agent orchestration. Power, memory, latency and reliability set the architecture.
The objective is Tectivum-designed silicon and modules that can move across edge devices and Capacitas compute nodes, with a software toolchain that makes the hardware usable.
Benchmark perception and inference on available accelerators before committing to a custom design. Keep field power and thermal limits central.
Develop carrier boards, memory and I/O integration, secure boot and thermal solutions that turn a processor into a deployable subsystem.
Identify the workloads where specialized logic can justify the engineering effort. Progress through FPGA validation, foundry evaluation and prototype silicon.
Our roadmap starts with an instrumented reference system, advances to Tectivum boards and modules, and then evaluates a custom ASIC or chiplet. Wafer fabrication, package assembly and system manufacturing are separate workstreams.
A dedicated wafer fab is a distinct long-term investment decision. The initial manufacturing focus is product integration, test and repeatable assembly.