Engineering capabilities.

Machinia resolves physical and computational systems as a single architecture, from geometry and circuits to software, intelligence, and deployment.

Current engineering scope.

Near-term work is centered on design, architecture, integration, analysis, and implementation-ready technical records.

01

Mechanical engineering and CAD

Parametric parts, assemblies, production drawings, tolerance strategy, interface definition, thermal and structural packaging, and build-ready engineering documentation.

  • 3D CAD and STEP
  • Assemblies and BOMs
  • Drawings and tolerances
  • Design reviews
02

Hardware and software interfaces

System architecture that resolves power, thermal, data, sensing, control, serviceability, and software behavior at the physical boundary.

  • Interface control documents
  • Integration architectures
  • Failure boundaries
  • Deployment plans
03

Electronics and embedded systems

Schematics, PCB architecture, component selection, ESP32 systems, embedded control, sensing, power distribution, and hardware validation planning.

  • Schematics
  • PCB architecture
  • Embedded firmware
  • Test plans
04

AI hardware and computational systems

Blueprints for local AI workstations, compute clusters, inference systems, power and thermal envelopes, model runtime integration, and portable or resilient AI infrastructure.

  • Workstation blueprints
  • Compute architecture
  • Thermal and power budgets
  • Runtime integration
05

Advanced software architecture

Native applications, local AI runtimes, orchestration frameworks, hardware-aware software, deterministic validation layers, and production deployment architecture.

  • Native software
  • Architecture frameworks
  • AI orchestration
  • Deployment systems
06

Engineering research and consulting

Focused technical investigation, feasibility analysis, benchmark design, architecture review, and cross-domain problem solving for difficult physical and computational systems.

  • Feasibility studies
  • Technical benchmarks
  • Architecture reviews
  • Engineering dossiers

Capability expansion.

Each layer adds controlled physical or computational capacity to the same engineering system.

Late 2026 to early 2027

Physical production and materials

Additive manufacturing, composite systems, materials engineering, functional-part development, and controlled prototype production.

Mid 2027 to early 2028

Efficient AI model development

Machinia-built models, benchmark design and testing, distribution bundles, physical-system implementation, and maximum useful capability at minimum compute and energy cost.

Beyond 2028

Facilities and capacity

Laboratory, fabrication, materials, testing, energy, and deployment infrastructure expands where demonstrated programs require deeper control of the engineering chain.

Public work remains inspectable.

Published records expose the revision, engineering stage, evidence, deliverables, and exact commercial boundary before acquisition.

Review selected engineering records through the investor and commercial portfolio surface, or use the public feeds to follow new releases.

Review published work