D4C Industries · Advanced engineering

Engineering risk clarity
before expensive prototypes.

Uncertainty quantification, sensitivity analysis, and design of experiments for advanced energy, process safety, and defense-adjacent hardware programs. We identify the assumptions that control feasibility — and the next experiment worth running.

UQ
Uncertainty quantification
SA
Sensitivity analysis
DOE
Design of experiments
Memo
Decision-ready output
D4C Industries — The Next Standard

The Next Standard.

Method

From assumptions to a defensible engineering decision.

01Assumptions02Model03Uncertainty04Sensitivity05Experiment06Decisioniterate · update priors · refine modelINPUTSANALYSISOUTPUT

  1. 01

    Assumptions

    Surface and document every load-bearing assumption.

  2. 02

    Model

    First-pass engineering model of the system.

  3. 03

    Uncertainty

    Propagate sparse inputs through the model.

  4. 04

    Sensitivity

    Rank variables that actually control the outcome.

  5. 05

    Experiment

    Recommend the test that resolves the most risk.

  6. 06

    Decision

    Memo with thresholds, trade-offs, and a go/no-go.

Core engagement

Technical Risk Sprint

A focused ten-business-day engagement that identifies the assumptions controlling feasibility, quantifies the uncertainty that matters, and recommends the next experiment worth running. Built for teams that need a defensible engineering position before committing capital, hardware, or a Phase I work plan.

Duration
10 business days
Scope
One system · one model · one memo
Format
Remote, NDA on request
Audience
Founders, PIs, program managers, reviewers

Deliverables

  • 01System assumptions map
  • 02First-pass engineering model
  • 03Literature and data extraction
  • 04Uncertainty quantification
  • 05Sensitivity ranking
  • 06Technical risk register
  • 07Design of experiments recommendation
  • 08Go / no-go thresholds
  • 092–5 page decision memo

Supports

SBIR / STTR Phase I framing · DOE, NSF, DoD, NASA, ARPA-E technical narratives · prime-contractor and lab technical due diligence · internal go/no-go reviews.

Capability Statement

D4C Industries

Core Offer

Technical Risk Sprints for advanced energy, process safety, and defense-adjacent hardware teams.

Differentiator

D4C converts sparse data and uncertain assumptions into ranked technical risks, first-pass models, experiment recommendations, and decision memos.

Download capability statement

Core Capabilities

  • Computational engineering
  • Uncertainty quantification
  • Sensitivity analysis
  • Design of experiments
  • Literature-to-model extraction
  • Process safety screening
  • SBIR/STTR technical support

Initial Domains

Advanced energyMolten saltsThermal systemsProcess safetyElectrochemistryIndustrial AIDefense-adjacent hardware

Capabilities

What we do.

C.01

Uncertainty quantification

Propagate sparse or noisy inputs through engineering models; report calibrated confidence intervals.

C.02

Sensitivity analysis

Identify the variables that actually drive feasibility, cost, performance, and safety margins.

C.03

Design of experiments

Recommend the minimum experiment that resolves the most decision-critical uncertainty.

C.04

Literature-to-model extraction

Convert papers, reports, and datasheets into usable correlations, priors, and model inputs.

C.05

Process safety screening

Support early hazard identification, relief logic, and PHA preparation for novel chemistries.

C.06

Technical due diligence

Independent review of engineering claims, models, and risk for investors, primes, and labs.

Focus

Initial technical domains.

Advanced energyMolten saltsThermal systemsElectrochemistryProcess safetyDefense-adjacent hardwarePrototype risk reviewSBIR / STTR technical framingLab and prime due diligence

Artifacts

Technical demonstrations.

Demo

In development

Molten salt property UQ

Fitting sparse thermophysical property data, propagating uncertainty through a heat-transfer model, and identifying the highest-value next measurement.

Available on request

Demo

In development

Process safety screening

Extracting hazard scenarios from heterogeneous sources, ranking technical risk, and producing early decision memos for novel process systems.

Available on request

Contact

Need to know what to test next?

If your team is making a technical decision with incomplete data, D4C can identify the assumptions that matter and the experiment that should happen next. Inquiries from founders, PIs, national labs, and prime contractors are welcome.