BACENIK IMOLE™ IQClarity Before Commitment™

Do not upload or enter controlled vehicle, propulsion, defense, CUI, ITAR, EAR, export-controlled, or restricted technical data into this pilot environment.

IMOLE IQ provides governed engineering decision infrastructure — decision support with stated limitations, not mission authority, qualification, or procurement endorsement.

How IMOLE works

Guided decision workflow for engineering review environments

IMOLE IQ produces deterministic, hash-backed engineering readouts and Decision Pack artifacts for human review. Outputs support comparative screening under stated proxies; they do not substitute for NASA, OEM, or program authority.

Request controlled pilot View deployment tiers

IMOLE structures engineering judgment into a workflow leadership can audit before resources are committed to test articles or simulant paths.

Traceability pipeline from evidence through scoring to decision pack and audit ledger

Define engineering problem
Frame the test objective, target environment, and fidelity questions before any scoring run.
Engineering value · Reduces scope drift before evidence collection.
Collect evidence
Attach catalog references, fingerprints, and provenance-backed evidence blocks to the workspace.
Engineering value · Links every later score to traceable inputs.
Configure assessment
Select simulant candidates, weighting posture, and classification boundaries for the program.
Engineering value · Makes trade-study assumptions explicit.
Run deterministic evaluation
Execute governed scoring with hash-backed output and manifest snapshot.
Engineering value · Same inputs → same outputs — reproducible for review.
Review assumptions
Inspect assumption register, sensitivity posture, and frozen readout fields before commitment.
Engineering value · Surfaces hidden judgment before sign-off.
Generate Decision Pack
Materialize review-ready artifacts with integrity fields and governance language.
Engineering value · Board-ready traceability without re-interpretation.
Engineering review
Human reviewers validate scope, limitations, and program fit — IMOLE does not auto-approve.
Engineering value · Preserves accountability in aerospace workflows.
Decision traceability
Audit events, hashes, and pack lineage tie the decision to evidence of record.
Engineering value · Institutional memory survives personnel change.
Future replay
Re-run or compare against the same baseline when evidence or catalog posture updates.
Engineering value · Supports configuration-controlled re-evaluation.

Differentiators

Auditable by design — not black-box AI

IMOLE IQ separates numeric scoring truth from informational catalog context. Every run carries hash-backed integrity fields suitable for configuration management and engineering review boards.

Hash-verified

Deterministic reproducibility

Same declared inputs yield the same DRI, ranking, and controlled readout — verifiable via output hash and manifest.

Model v0.1

Governed language

Recommendations use dictionary-controlled vocabulary; prohibited certification claims are structurally excluded from pilot packs.

Manifest-backed

Evidence-of-record lineage

Assumption register with source references, catalog citations, and classification-aware export posture.

Catalog v0.2

Scoring vs. catalog separation

Simulant registry metadata and external resource links are informational only — excluded from numeric scoring.

Integrity surface (per scoring run)

Output hash: SHA-256 over canonical scoring fingerprint (excludes display-only catalog guidance).
Input snapshot: Frozen assessment, candidate set, evidence catalog versions, classification posture.
Run manifest: Hash-backed envelope: model version, weights version, registry checksum, assumption register ID.
Audit stream: Append-only events tying human actions to runs, packs, and exports.

Trust model

Defensible under engineering review

Trust derives from transparent limits, deterministic computation, hash-backed artifacts, and visible human authority — aligned to aerospace configuration management practice.

Clarity before commitment

Each workflow gate states purpose, frozen inputs, integrity fields, and recommended next evidence before a team commits.

Human accountability

Named reviewers retain program judgment. IMOLE informs comparative screening; it does not certify hardware or authorize flight.

Replayable reasoning

Deterministic runs, hash-backed manifests, output hashes, and append-only audit lineage support configuration-controlled re-evaluation.

Declared boundaries

Explicit limitations language and catalog guidance separation reduce unsafe inference during executive briefings.

Technical foundation

Built for configuration-managed rigor

IMOLE IQ combines deterministic computation with governed presentation — depth for engineering interrogation, clarity for leadership briefings, integrity fields for audit.

Deterministic scoring contract

Reproducible DRI, ranking, and controlled readout from declared inputs — verified via output hash and frozen manifest envelope.

Governance & audit trail

Append-only audit events associate human actions with runs, Decision Packs, and exports without implying external certification.

Decision Pack artifacts

Review-oriented JSON/PDF with assumption register, integrity fields, explicit limitations, and catalog guidance disclaimer key.

Evidence pedigree

Catalog-backed references, classification posture, and source version pinning — not undocumented spreadsheet judgment.

Human accountability

Materialization, review, and program commitment remain human-governed; IMOLE does not auto-approve hardware or flight paths.

Progressive disclosure

Executive summary through engineering detail — suitable for review boards without hiding model assumptions.

Laboratory photograph of lunar regolith simulant with precision measurement instruments

Decision Pack v1

Review artifact — not a black box

IMOLE packages engineering rationale into hash-backed artifacts executives can scan and engineers can interrogate under configuration management.

Decision Pack

Simulant candidate comparative screening

Pending human review

Executive summary

Controlled recommendation vocabulary, confidence band, validation tier, and explicit scope limitations for leadership review.

Evidence ledger

Catalog references, evidence source versions, classification posture, and provenance-backed blocks frozen at run time.

Assumption register

Deterministic assumption rows with source references — environment proxy, phenomena scope, evidence catalog, hardware use case, and simulant catalog posture.

Integrity trace

Output fingerprint, input snapshot, catalog checksum, audit record, and frozen manifest version for replay.

Traceability pipeline infographic: evidence, deterministic scoring, decision pack, and audit ledger

Architecture overview

Decision intelligence layer

IMOLE sits between evidence preparation and program authority — comparative screening and traceability, not replacement for qualification or mission sign-off.

Program objectives & review board

Evidence catalog & provenance

★ IMOLE IQ — deterministic screening & Decision Packs ★

Lab execution & qualification systems

Mission authority & flight certification

What IMOLE is not

Explicit non-claims for audit defensibility

Aerospace-adjacent programs require explicit non-claims. IMOLE is comparative decision support under human review — nothing more without a separate program of record.

Not mission authority, flight qualification, or human-rating adjudication
Not export-control (ITAR/EAR) classification or jurisdiction determination
Not autonomous engineering sign-off or AI-generated certification language
Not NASA-STD-7009B conformity attestation or standards compliance claim
Not procurement recommendation — external resource links are informational only
Not a substitute for your program review board or configuration control board

How IMOLE works

Guided decision workflow for engineering review environments

Request controlled pilot View deployment tiers

IMOLE structures engineering judgment into a workflow leadership can audit before resources are committed to test articles or simulant paths.

Define engineering problem
Frame the test objective, target environment, and fidelity questions before any scoring run.
Engineering value · Reduces scope drift before evidence collection.
Collect evidence
Attach catalog references, fingerprints, and provenance-backed evidence blocks to the workspace.
Engineering value · Links every later score to traceable inputs.
Configure assessment
Select simulant candidates, weighting posture, and classification boundaries for the program.
Engineering value · Makes trade-study assumptions explicit.
Run deterministic evaluation
Execute governed scoring with hash-backed output and manifest snapshot.
Engineering value · Same inputs → same outputs — reproducible for review.
Review assumptions
Inspect assumption register, sensitivity posture, and frozen readout fields before commitment.
Engineering value · Surfaces hidden judgment before sign-off.
Generate Decision Pack
Materialize review-ready artifacts with integrity fields and governance language.
Engineering value · Board-ready traceability without re-interpretation.
Engineering review
Human reviewers validate scope, limitations, and program fit — IMOLE does not auto-approve.
Engineering value · Preserves accountability in aerospace workflows.
Decision traceability
Audit events, hashes, and pack lineage tie the decision to evidence of record.
Engineering value · Institutional memory survives personnel change.
Future replay
Re-run or compare against the same baseline when evidence or catalog posture updates.
Engineering value · Supports configuration-controlled re-evaluation.

Differentiators

Auditable by design — not black-box AI

IMOLE IQ separates numeric scoring truth from informational catalog context. Every run carries hash-backed integrity fields suitable for configuration management and engineering review boards.

Hash-verified

Deterministic reproducibility

Same declared inputs yield the same DRI, ranking, and controlled readout — verifiable via output hash and manifest.

Model v0.1

Governed language

Recommendations use dictionary-controlled vocabulary; prohibited certification claims are structurally excluded from pilot packs.

Manifest-backed

Evidence-of-record lineage

Assumption register with source references, catalog citations, and classification-aware export posture.

Catalog v0.2

Scoring vs. catalog separation

Simulant registry metadata and external resource links are informational only — excluded from numeric scoring.

Integrity surface (per scoring run)

Output hash: SHA-256 over canonical scoring fingerprint (excludes display-only catalog guidance).
Input snapshot: Frozen assessment, candidate set, evidence catalog versions, classification posture.
Run manifest: Hash-backed envelope: model version, weights version, registry checksum, assumption register ID.
Audit stream: Append-only events tying human actions to runs, packs, and exports.

Trust model

Defensible under engineering review

Trust derives from transparent limits, deterministic computation, hash-backed artifacts, and visible human authority — aligned to aerospace configuration management practice.

Clarity before commitment

Each workflow gate states purpose, frozen inputs, integrity fields, and recommended next evidence before a team commits.

Human accountability

Named reviewers retain program judgment. IMOLE informs comparative screening; it does not certify hardware or authorize flight.

Replayable reasoning

Deterministic runs, hash-backed manifests, output hashes, and append-only audit lineage support configuration-controlled re-evaluation.

Declared boundaries

Explicit limitations language and catalog guidance separation reduce unsafe inference during executive briefings.

Technical foundation

Built for configuration-managed rigor

IMOLE IQ combines deterministic computation with governed presentation — depth for engineering interrogation, clarity for leadership briefings, integrity fields for audit.

Deterministic scoring contract

Reproducible DRI, ranking, and controlled readout from declared inputs — verified via output hash and frozen manifest envelope.

Governance & audit trail

Append-only audit events associate human actions with runs, Decision Packs, and exports without implying external certification.

Decision Pack artifacts

Review-oriented JSON/PDF with assumption register, integrity fields, explicit limitations, and catalog guidance disclaimer key.

Evidence pedigree

Catalog-backed references, classification posture, and source version pinning — not undocumented spreadsheet judgment.

Human accountability

Materialization, review, and program commitment remain human-governed; IMOLE does not auto-approve hardware or flight paths.

Progressive disclosure

Executive summary through engineering detail — suitable for review boards without hiding model assumptions.

Decision Pack v1

Review artifact — not a black box

IMOLE packages engineering rationale into hash-backed artifacts executives can scan and engineers can interrogate under configuration management.

Decision Pack

Simulant candidate comparative screening

Pending human review

Executive summary

Controlled recommendation vocabulary, confidence band, validation tier, and explicit scope limitations for leadership review.

Evidence ledger

Catalog references, evidence source versions, classification posture, and provenance-backed blocks frozen at run time.

Assumption register

Deterministic assumption rows with source references — environment proxy, phenomena scope, evidence catalog, hardware use case, and simulant catalog posture.

Integrity trace

Output fingerprint, input snapshot, catalog checksum, audit record, and frozen manifest version for replay.

Architecture overview

Decision intelligence layer

IMOLE sits between evidence preparation and program authority — comparative screening and traceability, not replacement for qualification or mission sign-off.

Program objectives & review board

Evidence catalog & provenance

★ IMOLE IQ — deterministic screening & Decision Packs ★

Lab execution & qualification systems

Mission authority & flight certification

What IMOLE is not

Explicit non-claims for audit defensibility

Aerospace-adjacent programs require explicit non-claims. IMOLE is comparative decision support under human review — nothing more without a separate program of record.

Not mission authority, flight qualification, or human-rating adjudication
Not export-control (ITAR/EAR) classification or jurisdiction determination
Not autonomous engineering sign-off or AI-generated certification language
Not NASA-STD-7009B conformity attestation or standards compliance claim
Not procurement recommendation — external resource links are informational only
Not a substitute for your program review board or configuration control board

Guided decision workflow for engineering review environments

Define engineering problem

Collect evidence

Configure assessment

Run deterministic evaluation

Review assumptions

Generate Decision Pack

Engineering review

Decision traceability

Future replay

Auditable by design — not black-box AI

Deterministic reproducibility

Governed language

Evidence-of-record lineage

Scoring vs. catalog separation

Defensible under engineering review

Clarity before commitment

Human accountability

Replayable reasoning

Declared boundaries

Built for configuration-managed rigor

Deterministic scoring contract

Governance & audit trail

Decision Pack artifacts

Evidence pedigree

Human accountability

Progressive disclosure

Review artifact — not a black box

Simulant candidate comparative screening

Executive summary

Evidence ledger

Assumption register

Integrity trace

Decision intelligence layer

Explicit non-claims for audit defensibility

Guided decision workflow for engineering review environments

Define engineering problem

Collect evidence

Configure assessment

Run deterministic evaluation

Review assumptions

Generate Decision Pack

Engineering review

Decision traceability

Future replay

Auditable by design — not black-box AI

Deterministic reproducibility

Governed language

Evidence-of-record lineage

Scoring vs. catalog separation

Defensible under engineering review

Clarity before commitment

Human accountability

Replayable reasoning

Declared boundaries

Built for configuration-managed rigor

Deterministic scoring contract

Governance & audit trail

Decision Pack artifacts

Evidence pedigree

Human accountability

Progressive disclosure

Review artifact — not a black box

Simulant candidate comparative screening

Executive summary

Evidence ledger

Assumption register

Integrity trace

Decision intelligence layer

Explicit non-claims for audit defensibility