ContactBook a demo →

AI-native engineering execution

Build faster.
Stay evidence-ready.

Generate reviewable engineering work products, maintain end-to-end traceability, and keep evidence continuously ready across your existing toolchain.

See how it works ↗

AI prepares·Engineers review and approve·Every change is traceable

KlugSpice intelligence core connecting requirements, architecture, change requests, tests and evidence through engineer approval to industry assurance packs and evidence-ready outputs
Industry standards
AutomotiveAutomotive SPICE · ISO 26262 · ISO/SAE 21434Medical devicesIEC 62304 · ISO 13485Physical AIRobotics · Autonomy · SafetyAerospaceDO-178C · ARP4754ARailEN 50126 · EN 50128 · EN 50129IndustrialIEC 61508 · IEC 62443
Development approaches
V-ModelAgileSAFe®HybridOEM-specific

Continuous readiness in practice

Turn engineering activity into review-ready outcomes.

01Always assessment-readySee missing work products, reviews, trace links and evidence before an assessor does.02AI-generated reportsStop rebuilding status packs. Generate source-linked coverage and evidence reports on demand.03AI-generated work productsPrepare requirements, architecture and verification artifacts from approved project context.04Impact and change analysisKnow which artifacts, owners, tests and evidence a proposed change may affect.05Continuous traceabilityReplace stale trace matrices with reviewed lifecycle links, coverage and rationale.06Intelligent defect centerTurn isolated defect tickets into connected requirements, changes, tests, risks and decisions.

Inside KlugSpice

Turn every readiness gap into the next approved action.

The Project Readiness Command Center converts live work-product, traceability and evidence status into a prioritized decision queue for engineering and quality leaders.

  • Live readinessSee coverage and gaps across connected work products.
  • Prioritized decisionsFocus teams on actions with the greatest readiness impact.
  • Human authorityReview every proposed change before acceptance.
Explore continuous assessment readiness →
Project Readiness Command CenterAI monitoring active
KlugSpice Project Readiness Command Center showing programme and baseline context, Automotive SPICE readiness, evidence coverage, decision queue, engineering gaps, traceability health, reviews, audit history and a governed decision inspector

Integration ecosystem

Keep the tools your teams already use.

KlugSpice connects governed engineering context across lifecycle and implementation systems. Connected repositories remain authoritative, and reviewed outcomes return through controlled writeback.

KlugSpice · Human review workspaceControlled workflow
KlugSpice integration ecosystem connecting Polarion, IBM DOORS Next, Codebeamer, Jira and Teamcenter with GitHub, Copilot, Cursor, Claude Code, Visual Studio Code, JetBrains and Visual Studio
Requirements, ALM and PLM systemsGoverned KlugSpice executionCode, IDE and AI coding environments
Explore integrations and connector governance →
KlugSpice · Evidence workspaceSources connected
KlugSpice Engineer Inbox showing the governed engineering work queue, AI-proposed brake-control changes, affected artifacts, acceptance criteria and approval controls

Human-controlled agent execution

Put agents to work. Keep engineers in control.

  • AI-prepared action queueTurn detected gaps into assigned, reviewable engineering work.
  • Acceptance stays visibleTrack progress, blockers and readiness without chasing status.
  • Engineers retain authorityNudge, reassign or escalate work through explicit controls.
Explore governed agent execution →

Assurance and authority

Trace every recommendation to evidence.

Inspect the requirements, standards and citations behind an AI recommendation before accepting it as engineering evidence.

Source-linked evidenceEvery output retains its authoritative inputs and provenance.
Confidence stays visibleReview citation strength and expose weak or missing support.
Evidence gaps become actionsTurn missing or stale evidence into specific next steps.
KlugSpice Evidence Explorer showing an ASPICE evidence tree, exact source excerpts, trace coverage, provenance, review ownership and evidence gaps
Every recommendation remains connected to reviewable sources.

Built for the people responsible

One readiness view. Different decisions.

Engineering, quality and platform teams work from the same evidence while retaining their own responsibilities.

Engineering teams

Prepare and review connected work

Generate requirements, verification artifacts, reports and impact packages from approved context.

Explore engineering workflows →Quality and ASPICE leaders

See readiness before the assessment

Monitor work-product coverage, trace gaps, review status, baselines and objective evidence.

Explore assessment readiness →Tool and platform owners

Control integration, data and models

Define repository scope, permissions, deployment boundaries and authorized synchronization.

Explore platform controls →

How data remains controlled

Your infrastructure. Your model. Your engineering data.

Run KlugSpice where programme policy requires—using approved models, identities and repositories without weakening the review workflow.

ManagedCustomer VPCOn-premiseAir-gapped
Review deployment architecture →

How to start

Prove value on one controlled workflow.

Use real project context, named reviewers and measurable acceptance criteria before broader rollout.

  1. Connect systemsAuthorize the minimum repositories and scope.
  2. Build contextConfigure project structure, rules and standards.
  3. Prepare outcomesRun one bounded specialist-agent workflow.
  4. Review resultsCompare accepted quality, effort, coverage and control.
Measure what engineers acceptQuality · effort · coverage · control
Book a demo →Schedule technical workshop