Define the mission
Choose one workload and one buyer problem. Fix the sensing inputs, models, latency, memory, power, environment and unit-cost targets before selecting hardware.Gate: a reviewed requirements baseline and a reproducible benchmark.
BUILD WITH PURPOSE.
ADVANCE WITH PROOF.
A practical route from today’s components to Tectivum-designed silicon, manufactured systems and orbital capability.
Build the reference system
Use available processors, complete sensor kits and standard interfaces. Capture full-system power, thermal behavior, performance, accuracy and reliability.Gate: a repeatable demonstration and documented performance under the intended conditions.
Engineer Tectivum modules
Develop boards, enclosures, power delivery, cooling, firmware and secure boot around the measured workload. Establish traceable BOMs and production tests.Gate: verified interfaces, serviceability and a small reproducible pilot build.
Prove the silicon advantage
Profile the bottleneck, evaluate FPGA or other configurable logic, and compare with an equally optimized commercial baseline. Choose ASIC or chiplet development only where the benefit justifies it.Gate: independently reviewed design, compiler/software readiness, foundry and packaging plan, and a funded tape-out case.
Qualify and manufacture
Use an appropriate prototype wafer route, characterize silicon, validate packaging and qualify the complete module. Grow owned assembly and test capacity as yield and demand support it.Gate: measured silicon behavior, acceptable production yield, unit economics and customer acceptance.
Extend into space
Carry qualified subsystems into payload and ground-system demonstrations. Treat space environmental qualification and launch-system development as separate programs.Gate: mission-specific reviews and test evidence before each orbital or flight milestone.
This is a proposed sequence, not a committed delivery schedule. Program dates and budgets follow requirements, engineering estimates and supplier quotations.
AI-chip landscape / September 2026CHOOSE THE PATH
CHOOSE THE PATH
THAT SERVES THE WORK.
The initial opportunity is differentiated edge systems and compute modules. Benchmark established platforms while developing the evidence for custom silicon.
| Path | What it contributes | Tectivum’s proposed use |
|---|---|---|
| Embedded CPU + GPU + NPU | AMD Ryzen AI Embedded combines general-purpose compute, graphics and neural processing in embedded SoCs. | Compare consolidated x86 compute for Capacitas nodes and industrial systems, including software portability and sustained memory performance. |
| Dedicated edge accelerators | Hailo offers vision processors and AI accelerators, including plug-in modules. | Evaluate compact perception and inference offload where the supported model set and integration effort fit the device. |
| Commercial edge compute | NVIDIA’s Jetson platform supplies processors, developer hardware and a robotics software ecosystem. | Establish a working performance and software baseline. Module choice depends on the actual power and memory envelope. |
| Emerging specialized silicon | Lola Vision Systems advertises an edge SDK and an LVS-250 silicon roadmap, with volume production targeted for 2027. | Evaluate Lola Vision Systems for sensor integration and future chip collaboration. Treat roadmap specifications as vendor targets until validated. |
| Foundry and design ecosystem | TSMC’s Open Innovation Platform connects design enablement and manufacturing; advanced packaging supports system integration. | Assess process, IP, EDA, packaging, supply access and cost together. No supplier relationship is implied. |
| Prototype wafer programs | GlobalFoundries GlobalShuttle and SkyWater MPW services support shared-wafer prototype routes. | Evaluate suitable prototype access for the chosen design. Mature-node prototyping is not a substitute for advanced-node AI performance. |
| Owned production capacity | System assembly, calibration and test form a different industrial layer from wafer fabrication. | Begin with repeatable hardware builds; evaluate advanced packaging, cell production and a wafer fab as separate investments. |
Our recommendation is an engineering inference from the sources below. Advertised TOPS and FLOPS are not directly comparable across numerical precision, sparsity, models and power conditions. Supplier references are research inputs, not partnership announcements.
First work packageONE BENCHMARK.
ONE BENCHMARK.
ONE PLATFORM. ONE BUILD.
Establish the baseline.
Select representative perception and small-model workloads. Log accuracy, sustained latency, memory use and full-system power with an exact software configuration.
Deliver a reference kit.
Use the common USB sensing architecture for drone, rover and fixed-site prototypes. Confirm mechanical fit, bandwidth, power distribution and startup behavior.
Plan a repeatable build.
Prepare the controlled BOM, assembly instructions, inspection checks and supplier RFQs. Compare building in-house with qualified contract assembly.
THE RESEARCH
BEHIND THE ROADMAP.
AMD Ryzen AI Embedded ↗Embedded CPU, GPU and NPU platforms.Hailo AI Products ↗Vision processors, edge accelerators and modules.NVIDIA Jetson Thor ↗Commercial edge-AI platform and published specifications.Lola Vision Systems ↗Vendor-reported SDK capabilities and 2027 silicon production target.TSMC Open Innovation Platform ↗Design enablement and semiconductor ecosystem.TSMC Advanced Packaging ↗Packaging and test capabilities.GlobalFoundries GlobalShuttle ↗Multi-project wafer prototype program.SkyWater MPW Programs ↗Shared-wafer prototyping and process access.
Reviewed September 16, 2026. Manufacturer statements remain subject to supplier verification, availability and engineering qualification.