SERVICES / APPLIED COMPUTATIONAL R&D
From question to evidence package
Fieldmind Lab translates a non-standard engineering or physical hypothesis into a testable model and returns a result checked within the agreed scope with controls, negative findings, and an explicit validity region.
01 / ENTRY CONDITION
A project does not begin with a promised outcome
The first step is model suitability: whether variables and constraints are known, a falsifiable criterion exists, and the data required for controls can be identified.
Claim-admission method →02 / SERVICE FAMILIES
Four problem classes, nine engagement formats
The format follows technical review; one problem may move through several classes in sequence.
Numerical Proof-of-Concept
A structured test of whether a proposed physical principle, construction, material, or operating mode is viable under explicit assumptions.
DELIVERABLES- Formal problem statement
- Numerical model with agreed access terms
- Experiment series and controls
- Works / fails / works within a bounded regime
- Technical report with limitations and next steps
Independent Verification and Reproduction
Independent reproduction and numerical audit for startups, laboratories, engineering teams, and technical due diligence.
DELIVERABLES- Reproduction attempt
- Assumption audit
- Numerical-stability and discretisation checks
- Grid and input-data dependence
- Independent technical conclusion
Custom Computational Modelling
Mathematical formalisation and a purpose-built computational prototype for problems that do not fit routine engineering software.
DELIVERABLES- Mathematical formulation
- Numerical-method selection
- Computational prototype in the agreed form
- Custom metrics and diagnostics
- Result visualisation
Simulation Campaigns
Parameter sweeps, controls, repeated initial conditions, and transition maps used to identify stable and unstable regimes.
DELIVERABLES- Parameter sweeps
- Comparative and negative controls
- Repeated seeds or initial states
- Transition and operating-region maps
- Consolidated experiment ledger
Computational Optimisation
Optimisation of a declared objective inside the accepted model—not a promise of automatic improvement in a physical product.
DELIVERABLES- Objective and constraint definition
- Parameter or geometry search
- Trade-off analysis
- Robust candidate regimes
- Experimental checks required before real-world use
Stability, Sensitivity and Failure Analysis
Stress testing against parameter drift, noise, defects, damage, delays, and resource limits.
DELIVERABLES- Sensitivity analysis
- Noise and perturbation studies
- Critical thresholds
- Failure scenarios and time-to-failure
- Bounded operating ranges
Experimental Validation Planning
Fieldmind Lab prepares the computational validation plan; physical testing is performed by the client or an external laboratory.
DELIVERABLES- Measurands and controls
- Sample and parameter requirements
- Confirmation and falsification criteria
- Required measurement accuracy
- Test-series and handoff package
Technical Research Report
A structured document combining the problem, method, assumptions, results, negative findings, limitations, conclusions, and recommended next phase.
DELIVERABLES- Full technical report
- Figures and diagnostics
- Negative results and claim boundary
- Optional publication version
- Public record and supplementary material by separate agreement
Long-Term R&D Partnership
A sequence of model revisions, experiment campaigns, intermediate decisions, and laboratory handoff stages under one research programme.
DELIVERABLES- Staged research roadmap
- Success/failure gates
- Successive model versions
- Periodic evidence reviews
- Laboratory and engineering handoff support
DELIVERY / ACCESS
Project deliverables and access terms
A project delivers an agreed technical report, conclusions on the tested hypothesis, and the materials needed for the next stage. Any transfer of models, data, or tools, along with access and usage rights, is defined separately. Publication and transfer of the computational core are not included by default.
03 / SCOPE BOUNDARY
Outside the scope
Fieldmind Lab does not replace a physical laboratory, certification body, or routine software contractor.
- Standard website or corporate-software development
- Routine programming outsourcing
- Certificates of conformity or regulatory certification
- Replacing physical testing with simulation alone
- A guaranteed favourable result before research begins
- Weapons or autonomous lethal systems
- Projects without sufficient inputs that require a predetermined “correct” conclusion
04 / BEFORE THE PROJECT
Before scope is fixed
Confidential material is exchanged only after the transfer regime and, where needed, an NDA are agreed.
Is a numerical PoC the same as laboratory validation?
No. It establishes model-level behaviour under stated assumptions. Independent physical testing is a separate phase.
What inputs are needed?
The hypothesis, intended outcome, known constraints, available geometry/data, and any measurements or reference cases. Feasibility is assessed before scope is fixed.
Can the work remain confidential?
Yes. NDA, IP, publication, and data-transfer terms are agreed before confidential materials are exchanged.
What if the hypothesis fails?
A negative result is retained and reported. The purpose is to identify the actual validity region—not to manufacture a favourable conclusion.
05 / INITIAL REVIEW
Is the question suitable for modelling?
Send a non-confidential outline. We respond within 3 working days; scope, timing, and cost follow technical review.
