Define the physical problem — We state the engineering question, loads, materials and what would count as a usable, reviewable output.
COMPUTATIONAL ENGINEERING & RESEARCH
Engineering complex physical systems through simulation, computation and research.
Vectoris Technologies develops computational engineering workflows, simulation systems and research tools for technically demanding physical problems.
Based in Switzerland. Applied engineering and independent research laboratories.
ENGINEERING SYSTEMS
Applied computational engineering for real technical problems.
Different physical domains. One computational engineering approach.
01
Technical AI Systems
Private technical-AI systems for engineering and R&D workflows: document structure, literature monitoring, simulation orchestration and review gates. AI is an enabling layer, not the company identity.
02
Structural & Mechanical Simulation
Computational support for structural and mechanical calculations, dynamics, vibration, feasibility screening and documented assumption logs.
03
Energy Systems Simulation
Physics-based battery and energy-storage modelling for degradation, thermal behaviour, parameter studies and reviewable simulation documentation.
04
Computational Photonics
Python-based FDTD and inverse-design workflows for optical structures and photonic concepts, with explicit numerical limitations.
FEATURED RESEARCH LAB
Vectoris LUNA
Lunar Construction Engineering
Research into the engineering knowledge, models, evidence and computational workflows required for structures and infrastructure on the Moon.
CURRENT LAB STATUS
Research infrastructure
Counts of public LUNA registry records. These are not NASA, ESA, TRL or certification metrics.
- Public models
- 11
- Evidence packages
- 1
- Validation programs
- 1
- Research domains
- 5
Process
From technical question to reviewable computational workflow.
Structure models and assumptions — Data, parameters and limitations are written so later verification remains possible.
Implement the computational workflow — Screening kernels, simulation pipelines or technical software are built with explicit scope.
Evaluate against real tasks — Outputs are tested with expert review. Implementation is not treated as validation.
Handover with provenance — Documentation, assumptions and remaining gaps travel with the work.
Contact
Let's discuss a technical challenge.
Send a short description of an engineering project, simulation study or research collaboration. Vectoris works on computational engineering workflows and independent research documentation — not generic software or AI-agency retainers.

Vladyslav Novokhatko
Founder & CEO
Vectoris Technologies

Frankline Akaseng Amin
COO · Structural Engineer, MSc
Vectoris Technologies