Architectures, algorithms, reference designs, methodologies.
Applied R&D projects
- Industry challenges with clear NDA and IP terms. Measurable results.
,
Value proposition
In SEIUM, we deliver applied R&D to solve concrete challenges in vehicles, systems, energy, and data across land, sea, air, and space. We operate under international standards (UNECE/ISO/IEC/SAE, DO-178C/254/160, EN 17025, EN 9100, IAEA/IMO/EASA, etc.), data governance, and robust intellectual property frameworks. We deliver evidence, not just presentations: test plans, instrumented data, models/simulation, code, prototypes, and compliance dossiers.
Applied research & solution design
Architectures, algorithms, reference designs, methodologies.
Experimental development & prototyping
Rigs, hardware-in-the-loop, mock-ups, proof of concept (TRL 3–6)
Validation and pre-normative testing
Test plans linked to standards; preparation for audits and accreditable labs.
Digital twins & simulation:
CFD/FEA/HPC, multiphysics co-simulation, FMI/FMU, synthetic data.
Data/AI & industrial MLOps
Time series, predictive maintenance, 3D vision, pipelines, and model governance.
Safety, RAMS & compliance-by-design
Safety cases, SOTIF/ISO 26262, ISO/SAE 21434/OTA, IEC 62443/OT, AI Act.
Energy & networks
BESS/grid-forming, HVDC/FACTS, ADMS, energy communities, H₂/PtX.
Materials & manufacturing
What we offer (areas of work)
What we offer (workstreams)
rigs, hardware-in-the-loop, maquetas, proof-of-concept (TRL 3–6).
Standards-linked test plans; preparation for audits and accreditable laboratories.
CFD/FEA/HPC, multiphysics co-simulation, FMI/FMU, synthetic data.
Time series, predictive maintenance, 3D vision, pipelines, and model governance.
Safety cases, SOTIF/ISO 26262, ISO/SAE 21434/OTA, IEC 62443/OT, and the AI Act.
Cobots, AMR/SLAM, vission 3D, PLC/DCS/SCADA, MPC, TSN/IIoT.
Composites, additive manufacturing, metrology/GD&T, tolerances, and quality.
.
.
Laboratory capabilities (selected)
- CFD/HPC (RANS/LES/DDES; aerodynamic/hydrodynamic and thermal analysis).
- Wind tunnel (scale models, instrumentation).
- 7-post test rig and suspension/damper rigs.
- Dynamometers and powertrain test benches (ICE/internal combustion, E
- EMC/EMI pre-compliance (CISPR/ISO/DO-160).
- HIL/SIL/Vehicle-HIL (AUTOSAR, ROS 2/DDS, ADAS/AD).
- Batteries (characterisation, thermal management, operational safety).
- Composites and materials (testing, repair).
- Metrology/GD&T (CMM, tomography, surface metrology).
Note: We publish the scope of certifications and audit status in “Transparency & Good Governance.”
Collaboration models
- When: high confidentiality; 8–24 weeks.
- Pricing: fixed price per deliverable, or time & materials (T&M) with a cap.
- IP: options (see below).
- When: TRL 4–7; demo sites; interoperability; pre-normative work.
- Governance: grant agreement; foreground and exploitation plan.
- When: quick wins, de-risking, technical due diligence.
- Deliverables: functional demo + decision memo (go/no-go).
- When: a 2–3 year roadmap; talent pipeline + applied R&D.
Typical deliverables (auditable).
SOW
signed, risk register, data contract.
Architecture/SysM
Digital thread in PLM.
Code/models.
Version-controlled repositories, CI/CD, tests.
Test plan.
Reports (traceable to standards).
Prototype.
Rig / proof of concept (PoC) (with BOM and manual).
Compliance dossier
work products: p. ej., ISO 26262/DO-178C/IEC 62443, etc.).
Executive memo.
Decisions, trade-offs, and next steps.
TRL/MRL certificate.
Criteria and evidence.
,
Workflow and SLAs.
Form or meeting: problem, metrics, timelines, constraints (ethics/export), data, success criteria.
Output: Project One-Pager + NDA (if applicable).
Technical discovery, risks, data contract, RACI, ethics/export screening.
Output: SOW (objectives, deliverables, schedule, acceptance criteria) + commercial proposal.
Detailed plan; QA plan; safety plan; data plan; tools (PLM/MBSE, Git, trackers).
Development, experimentation, design reviews, hazard logs, ethics checkpoints (if applicable).
Test plan, correlation (simulation ↔ rig ↔ track/water/flight), compliance evidence.
Handover (code, models, documentation), training, runbook, lessons learned.
SOW and budget within ≤10 business days after scoping.
Team shortlist SLA (if profile CVs are required): ≤7 days.
