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PRISM® Engineering Brain

Technical Intelligence That Reasons Across Standards and Systems

Your AI Twin trained on your specifications, your compliance frameworks, your engineering methodology — delivering cross-referenced technical reasoning with full traceability. No hallucination by design.

The Challenge

Why Generic AI Fails in Engineering Environments

Aerospace, manufacturing, construction, automotive, energy — engineering organizations operate under rigorous standards that evolve constantly. ECSS, ISO, industry-specific safety regulations, and internal specifications create a compliance landscape that generic AI tools were never designed to navigate.

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Standards Change Mid-Project

A satellite mission starts under ECSS-E-ST-10-06C and the standard updates mid-development. A manufacturing process certified under ISO 9001:2015 faces new requirements. Generic AI doesn't know which version of a standard applies to your project phase, or what the delta-review implications are.

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Cross-System Dependencies Are Invisible

A design change in one subsystem cascades through interfaces, affecting thermal, structural, and electrical requirements simultaneously. Generic AI treats each query in isolation. Engineering requires reasoning across interconnected systems, not keyword matching within single documents.

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Decades of Expertise Walk Out the Door

When a senior engineer retires, 30 years of design intuition, failure mode knowledge, and "tribal wisdom" about what works in the field disappears overnight. No generic tool captures the hard-won lessons that prevent costly mistakes.

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Compliance Verification Is Manual and Slow

Verifying that a design meets all applicable standards requires engineers to manually cross-reference hundreds of requirements across dozens of documents. It takes weeks. Generic AI can't trace a requirement from standard to specification to test result.

Engineering doesn't need a faster document search.
It needs an AI that reasons like your best systems engineer — trained on your specifications, aware of your compliance obligations, traceable at every step.

How PRISM Solves It

Four Layers of Intelligence, Built for Engineering Precision

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WHO is the Twin?

Identity Layer

Define the engineering discipline, specialization level, applicable standards framework, and communication style. Your Twin becomes a systems engineer, a structural analyst, a safety expert, or a quality manager — with the technical precision your projects demand.

Example configuration: "Senior Systems Engineer, aerospace domain, ECSS standards framework, formal technical documentation style, always cite requirement IDs and verification methods, flag any deviations from baseline specifications."
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WHAT does it know?

Knowledge Layer

Upload your design specifications, standards libraries, interface control documents, test procedures, and lessons learned databases. The Twin knows your project's entire technical baseline — and critically, knows when a question falls outside its verified knowledge.

Example uploads: ECSS standards suite (E-ST-10, E-ST-20, Q-ST-80), project SRD and ICD, subsystem specifications, FMEA/FMECA databases, test reports archive, supplier qualification records, 10 years of non-conformance reports and lessons learned.
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HOW does it write?

Style Layer

The Twin learns your documentation standards — your report templates, your requirement writing conventions, your way of presenting technical analyses. Design reviews, test reports, and technical memos read as if your most experienced engineer wrote them.

Example: The Chief Engineer uploads 40 design review packages. The Twin learns the structure: design overview → requirement compliance matrix → interface analysis → risk assessment → action items. Every generated document matches the organization's technical documentation standards.
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HOW does it think?

Reasoning Layer

This is where PRISM transforms engineering practice. The Twin doesn't just find the relevant specification — it traces requirements through design, analysis, and verification, identifies cross-system impacts of proposed changes, and proactively flags compliance gaps before they become costly findings.

Example: "The proposed thermal design change affects Interface ICD-TH-042, which cascades to the power subsystem thermal dissipation allocation. Cross-referencing with the updated ECSS-E-ST-31C Rev.1, I've identified 3 verification methods that require re-validation. The earliest impact point is the CDR scheduled for Q2 — I recommend initiating delta-review now."

What One Engineering Team Can Do

Single-Tenant Use Cases

Even a single project team, design office, or engineering department benefits from PRISM's technical reasoning. No organization-wide rollout required — just your specifications, your standards, your Twin.

Compliance Verification

The Twin traces requirements from applicable standards through your specifications to verification evidence — identifying gaps, inconsistencies, and missing test coverage before they become audit findings or mission risks.

Scenario: "Cross-referencing ECSS-E-ST-10-03C against your System Requirements Document, I've identified 12 requirements lacking full verification closure. 3 are critical (safety-related), 5 require additional test evidence, and 4 have traceability gaps to lower-level specifications. Compliance matrix updated with recommended actions."
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Design Review Support

Prepare for PDR, CDR, and other milestone reviews with AI that cross-references your design against requirements, interface agreements, and verification plans — surfacing issues before the review board does.

Scenario: "Pre-CDR analysis for Subsystem A complete. I've identified 4 TBDs still open in the design specification, 2 interface mismatches with Subsystem B's latest ICD revision, and 1 mass margin concern (currently 8% vs. your 15% policy at CDR). Recommended resolution actions prioritized by review criticality."
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Equipment & System Expertise

The Twin becomes an expert on your specific equipment, machinery, or systems — trained on manuals, maintenance records, failure histories, and operational procedures. Instant access to deep system knowledge, 24/7.

Scenario: "Based on the vibration signature you've described (12Hz dominant with 3Hz harmonic), cross-referencing with our bearing failure database shows 87% correlation with inner race degradation. Last 3 similar cases on this equipment type required bearing replacement within 200 operating hours. Recommend inspection per Maintenance Procedure MP-VIB-023."
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Safety & Risk Analysis

Support FMEA, FMECA, fault tree analysis, and hazard assessments with AI that reasons about failure modes, propagation paths, and mitigation effectiveness — grounded in your historical failure data and industry lessons learned.

Scenario: "For the proposed redundancy change in the power distribution unit, I've updated the FMECA with 3 new failure modes. Cross-referencing with ESA lessons learned database, similar architectures showed common-cause vulnerability in thermal cycling scenarios. Recommending additional thermal qualification test per your PA plan."
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Knowledge Transfer & Training

Capture decades of engineering expertise — design rationales, failure mode intuitions, "what works in the field" knowledge — and make it accessible to junior engineers, new team members, and future projects.

Scenario: "A junior engineer asks why the thermal interface uses indium foil instead of thermal paste. The Twin responds with the design rationale from 2018 (outgassing requirements), the lessons learned from Project Alpha (paste degradation in vacuum), and Dr. Weber's recommendation memo — preserving 25 years of institutional knowledge."
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Technical Documentation

Generate specifications, test procedures, design justifications, and review packages in your organization's standard formats — technically precise, properly cross-referenced, and ready for review.

Scenario: "Test procedure for EMC qualification generated per your template TP-EMC-001. Includes: test setup derived from ECSS-E-ST-20-07C, pass/fail criteria traced to system EMC requirements, and measurement points cross-referenced with your EMC analysis report. Ready for QA review — estimated time saved: 6 hours."

Enterprise: Cross-Department Reasoning

When Multiple Engineering Twins Work Together

In complex engineering organizations — aerospace, automotive, energy, construction — PRISM connects intelligence across design, manufacturing, quality, and compliance teams. Standards changes propagate automatically, interface conflicts surface immediately, and cross-system impacts are visible before they become problems.

🛰️ Standards Change Impact Analysis

Design Twin Compliance Twin

When an applicable standard updates mid-project, the Compliance Twin doesn't just file the change — it triggers an automatic impact analysis across all affected design documentation, identifying which specifications, analyses, and verification activities require delta-review.

Compliance Twin

ECSS-E-ST-10-06C Rev.1 released — updated debris mitigation requirements for LEO missions

Cross-Reasoning

Design Twin scans project baseline: PMD subsystem sizing, casualty risk assessment, ground track analysis — 3 areas require review

Action Plan

Delta-review schedule generated with earliest impact point (CDR in March), responsible engineers assigned, compliance matrix updated

Impact: Standards update assessed across entire project baseline in hours, not weeks. No requirement slips through. Delta-review initiated proactively — before customer audit discovers the gap. CDR proceeds on schedule with full compliance evidence.

🏭 Manufacturing–Quality Integration

Manufacturing Twin Quality Twin

The Manufacturing Twin optimizes production processes while the Quality Twin monitors compliance with specifications and certifications. Together, they ensure process improvements don't inadvertently violate qualification status or introduce non-conformances.

Manufacturing Twin

Proposes process optimization: reduce curing time from 4h to 3h based on new adhesive supplier data

Cross-Reasoning

Quality Twin flags: original qualification was at 4h cure; 3h requires delta-qualification per your process change procedure PCP-007

Validated Change

Process change request generated with required qualification tests, cost-benefit analysis, and customer notification requirements

Impact: Process improvement proceeds with full qualification traceability. No risk of shipping product outside qualified process envelope. Customer audit evidence prepared automatically. Estimated cost savings validated against re-qualification investment.

🔬 R&D–Procurement Material Validation

R&D Twin Procurement Twin

When R&D selects a new material or component, the Procurement Twin automatically verifies supplier qualification status, certification requirements, and long-term availability — preventing design choices that create supply chain risks downstream.

R&D Twin

New thermal interface material selected for next-gen design: TIM-X from Supplier ABC, 30% better conductivity

Cross-Reasoning

Procurement Twin: Supplier ABC not on approved vendor list; material requires outgassing certification (ECSS-Q-ST-70-02); lead time 16 weeks vs. your 8-week standard

Decision Support

Alternative materials from qualified suppliers identified; supplier qualification timeline for ABC estimated; risk assessment for both paths prepared

Impact: Design selection informed by supply chain reality from day one. No late-stage redesigns due to material unavailability. Supplier qualification initiated early if new material is strategic. Program schedule protected.

Compliance & Governance

Built for Engineering's Most Demanding Standards

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ECSS Standards Framework

Native support for the European Cooperation for Space Standardization framework — system engineering, product assurance, and domain-specific standards. The Twin understands requirement flow-down, verification methodology, and tailoring rationale.

  • ECSS-E (Engineering) standards integration
  • ECSS-Q (Quality/PA) standards tracking
  • ECSS-M (Management) process alignment
  • Standards tailoring documentation support
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ISO Standards Compliance

Full support for ISO 9001 quality management, AS9100 aerospace requirements, IATF 16949 automotive standards, and domain-specific ISO frameworks. The Twin maps your processes to standard clauses and identifies compliance gaps.

  • ISO 9001 / AS9100 process mapping
  • Automotive IATF 16949 requirements
  • ISO 14001 environmental management
  • ISO 45001 occupational safety integration
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Safety & Product Assurance

Support for safety-critical development processes — functional safety (ISO 26262, IEC 61508), software assurance (DO-178C, ECSS-E-ST-40), and product assurance requirements. The Twin traces safety requirements through design and verification.

  • Functional safety lifecycle support
  • FMEA/FMECA analysis assistance
  • Safety requirement traceability
  • Non-conformance and lessons learned integration
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Complete Traceability

Every recommendation traces back to source requirements, standards clauses, and verification evidence. Audit-ready at any time — for customer reviews, certification bodies, or internal quality assessments.

  • Requirement-to-verification traceability
  • Standards clause citation in every output
  • Configuration baseline awareness
  • Exportable compliance matrices and audit packages

In engineering, traceability isn't bureaucracy — it's mission assurance.
PRISM makes compliance an integral part of every technical decision.

ECSS ISO 9001 / AS9100 Functional Safety Self-Hosted

Reasoning in Action

See the Difference Between Retrieval and Engineering Reasoning

Engineering Query

"The ECSS debris mitigation standard was just updated. What's the impact on our current satellite design?"

⚠️ Generic AI Response

RETRIEVAL

"ECSS-E-ST-10-06C addresses space debris mitigation requirements for LEO missions. Key requirements include post-mission disposal within 25 years, casualty risk assessment, and passivation of energy sources."

"You should review your debris mitigation plan against the updated standard and consult with your PA team for compliance assessment."

❌ No knowledge of your specific satellite design

❌ No awareness of which standard version you're currently baselined to

❌ No cross-reference with your project documentation

❌ No identification of specific affected subsystems

❌ Generic textbook answer — doesn't tell you what to actually do

🧠 PRISM Engineering Twin

REASONING

Baseline check: Your project is baselined to ECSS-E-ST-10-06C (2019). The new Rev.1 (2025) introduces updated casualty risk thresholds and ground track analysis methodology.

Source: Project Standards Baseline Register — approved SRR Dec 2024

Delta analysis: Key changes affecting your design: casualty risk threshold tightened from 1:10,000 to 1:15,000; new requirement for ground track uncertainty propagation; updated demisability assessment methodology.

Source: ECSS-E-ST-10-06C Rev.1 delta summary — uploaded Jan 2025

Impact assessment: Cross-referencing your design documentation, I've identified 3 affected areas: (1) PMD subsystem sizing in Section 4.2 of your SRR, (2) casualty risk assessment currently at 1:12,000 — now non-compliant, (3) ground track analysis methodology requires update.

Source: System Requirements Document v2.1, Debris Mitigation Plan v1.0

Schedule impact: Earliest impact point is CDR scheduled for March. Re-analysis of demisability requires updated DRAMA run with new inputs. Estimated effort: 3 engineering weeks.

Source: Project Master Schedule, Analysis Task Database

Recommendation: Initiate delta-review now. Priority actions: (1) Update casualty risk analysis with new threshold, (2) Re-run DRAMA with Rev.1 methodology, (3) Assess PMD sizing margin. Request PA review for tailoring rationale if 1:12,000 can be justified for your mission profile.

Source: ECSS tailoring procedure + lessons learned from Project Artemis

📎 Full Source Traceability

Project Documentation

Standards baseline register, SRD, debris mitigation plan, and master schedule referenced. Document versions and approval dates verified.

Standards Library

ECSS-E-ST-10-06C Rev.1 delta analysis performed against previous baseline version. Specific clause changes identified and mapped to project requirements.

Lessons Learned

Tailoring rationale approach from similar Project Artemis referenced. Historical effort estimates for re-analysis activities provided.

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Ready to Build Your Engineering AI Twin?

See how PRISM's reasoning engine transforms your specifications, standards, and engineering expertise into an AI that thinks like your best systems engineer — deployed on your infrastructure.

Request a Demo
🛰️ ECSS Framework 📋 ISO / AS9100 ⚠️ Functional Safety 🏗️ Self-Hosted
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