Versioned
Policy enforcement
Jurisdiction-aware policies enforced pre- and post-merge with multi-factor approvals
DDIP™ Deep Dive
Deterministic Development Intelligence Platform
DDIP unifies 22 deterministic analyzers and fixers, quantum optimization, and governed remediation workflows so regulated engineering teams can ship provable code and compliance artifacts on demand.
22
Deterministic engines
Analyzer + fixer registry spanning classical, governance, and quantum domains
12 analyzers / 12 fixers
Quantum suites
AST-enhanced remediation and resource intelligence tooling
3
Deployment models
Air-gapped, enterprise managed, and CUI Labs SaaS
Signals & Proof Points
Proof points for deterministic intelligence
Immutable
Audit evidence
Merkle-anchored artifacts and deterministic remediation bundles ready for regulators
Fleet-wide
Telemetry coverage
OpenTelemetry instrumentation across desktop, CLI, and orchestration layers
Architecture Overview
Layered orchestration for deterministic insight-to-action pipelines
Delivery experiences, registry governance, engine execution, and typed foundations stay composable, policy-aware, and fully observable to satisfy regulated enterprises.
Engine Portfolio
Registry-coordinated analyzers and fixers
Engine families span polyglot code analysis, governance intelligence, and quantum optimization—each shipping deterministic routing, policy guardrails, and telemetry hooks.
Code Analysis Engines
Pipeline Adapter-enabled analyzers for polyglot codebases and infrastructure as code.
- Engine: security
- Engine: code
- Engine: codeedit
- Engine: dependency
- Engine: optimization
- Engine: performance
- Engine: refactor
- Engine: workspace
- Engine: policy
- Engine: polyglot
- Static, symbolic, and data-flow analysis across 12+ languages
- Automated patch generation with deterministic diffs
- Dependency graphing, SBOM export, and license compliance
- Performance heuristics with cost units and deterministic telemetry
Governance & Intelligence Engines
Domain-specific engines delivering compliance assurance, migration planning, and AI orchestration.
- Engine: compliance
- Engine: migration
- Engine: decision
- Engine: fixstrategy
- Engine: simulation
- Engine: knowledge
- Engine: intelligence
- Engine: agent
- Engine: learning
- Engine: reasoning
- Regulatory model attestation and policy templating
- Framework and runtime migration planning with deterministic scoring
- Decision analytics and remediation prioritization
- Closed-loop simulation for incident drills and treasury-grade governance
Quantum Engine
Kernel-pure quantum workflows spanning validation, optimization, and governed remediation for hybrid stacks.
- Engine: quantum
- Circuit normalization across OpenQASM 2/3, XIR, Qiskit, Cirq, Braket, Quil
- Analyzer suite A1–A5 with AST-enhanced variants (A1e–A5e) for resource counting, complexity pressure, optimization heuristics, validation, and target readiness
- Extended analyzer suite A6–A12 with AST-enhanced variants (A6e–A12e) covering noise modeling, error channels, topology stress, drift, logical vs physical gaps, hybrid feedback, and post-run stability
- Fixer suite F1–F5 with AST-enhanced variants (F1e–F5e) for optimization, simplification, basis change, security hardening, and resource optimization
- Advanced fixer suite F6–F12 with AST-enhanced variants (F6e–F12e) addressing noise-aware rewriting, crosstalk mitigation, calibration-aware scheduling, hybrid latency, backend migration, pruning, and error-correcting code selection
- Shared calibration, routing, and fidelity utilities for drift scoring, coupling graph heatmaps, and Monte Carlo error estimation with governed telemetry export
Delivery Surfaces
Meet engineers where deterministic workflows run
Desktop, automation, APIs, and integration packs share typed SDKs and governed session control so teams can orchestrate remediation from any surface.
Desktop IDE
Explorer, Engine, Run & Debug, and Source Control panels tied to deterministic kernels
- Explorer, Engine, Run & Debug, and Source Control panels tied to deterministic kernels
- Real-time triage with findings drill-down, remediation preview, and audit artifact export
- Workspace-scoped policies and tenant aware profiles
Enterprise CLI
Command suites for analysis, remediation, quantum validation, batch execution, and policy enforcement
- Command suites for analysis, remediation, quantum validation, batch execution, and policy enforcement
- Deterministic exit codes with structured JSON output for CI/CD
- Long-running jobs routed via engine registry with cancellation hooks
SDKs & APIs
Typed TypeScript SDK (`getGateway`, `gateway.call`) with AbortSignal timeouts
- Typed TypeScript SDK (`getGateway`, `gateway.call`) with AbortSignal timeouts
- REST and GraphQL endpoints instrumented with OpenTelemetry
- Plugin host and SDK for partner-developed analyzers and fixers
Integrations
CI/CD connectors (GitHub, GitLab, Jenkins, Azure DevOps)
- CI/CD connectors (GitHub, GitLab, Jenkins, Azure DevOps)
- Ticketing and workflow integrations (Jira, ServiceNow) with audit trails
- Observability exports to Prometheus, OpenTelemetry, and SIEM pipelines
Governance & Telemetry
Evidence-grade controls and quantum telemetry
DDIP ships zero-drift governance, immutable audit stores, and quantum telemetry so every remediation cycle is regulator-ready and reproducible.
Telemetry & Security
Analyzer Suite A1–A5 (A1e–A5e)
Resource counting, complexity pressure, target heuristics, optimization analysis, and validation analysis with AST-enhanced variants for structural introspection.
Analyzer Suite A6–A12 (A6e–A12e)
Noise and decoherence modeling, error-channel diagnosis, topology stress, gate-set drift, logical-versus-physical resource gaps, hybrid feedback complexity, and post-run stability analytics.
Fixer Suite F1–F5 (F1e–F5e)
Optimization, simplification, basis change, security hardening, and resource optimization with AST-enhanced remediation plans and deterministic rollback markers.
Fixer Suite F6–F12 (F6e–F12e)
Noise-aware rewriting, crosstalk mitigation, calibration-aware scheduling, hybrid latency reduction, backend migration, circuit pruning, and inline error-correcting code application.
Governance Pillars
Policy Enforcement
- Versioned, jurisdiction-aware policies enforced pre- and post-merge
- Principal-based authorization with multi-factor approvals
- Deterministic signing of remediation bundles and evidence artifacts
Evidence & Audit
- Structured finding schema with severity, remediation plan, and trace IDs
- Evidence truncation plus secret stripping to protect sensitive data
- Immutable audit store with Merkle anchors and attestation export
Isolation & Compliance
- Workspace isolation and namespace-scoped analyzers
- Data retention controls with default ephemerality
- SOC2, ISO27001, and PQC-aligned posture with governed remediation
Deployment Models
Air-gapped labs, enterprise clusters, or governed SaaS
Choose local, enterprise-managed, or CUI Labs-operated footprints—each inherits deterministic kernels, policy packs, and telemetry governance.
Local & Air-Gapped
Desktop-first workflows with optional offline registries for secure labs and defense workloads.
Deployment focus
- Deterministic kernels run locally with zero data egress
- CLI operates against local registry mirror with policy packs
- Supports disconnected updates via signed package bundles
Enterprise Managed
Kubernetes orchestration with HA registries, OpenTelemetry observability, and policy automation.
Deployment focus
- Multi-tenant isolation with namespace-scoped analyzers and fixers
- Federated registry for regional compliance and data residency
- Integration with enterprise identity, secrets, and ticketing systems
Managed SaaS
CUI Labs-operated QTUM cloud with governed remediation-as-a-service and turnkey compliance.
Deployment focus
- Continuous delivery of analyzer/fixer updates with deterministic certification
- Fleet telemetry dashboards for compliance and engineering leadership
- Hybrid connectivity for on-prem policy enforcement with cloud orchestration
Roadmap
Quantum-aware releases aligned to enterprise milestones
Roadmap phases advance telemetry, predictive orchestration, and ecosystem expansion toward hybrid classical-quantum operations.
Deterministic remediation lifecycle
From analyzer selection to governed rollout, every step is policy-enforced and auditable.
- Select engine family via registry and policy packs
- Run analyzers + fixers with deterministic routing
- Publish remediation bundles with evidence artifacts
Quantum optimization pipeline
Normalize circuits, score targets, and apply governed fixers before deployment.
- Normalize circuits with analyzer suite
- Score backends for fidelity and cost
- Apply AST-enhanced fixers and export telemetry
Engage
Bring deterministic intelligence to your engineering organization
Schedule a briefing, explore partnership opportunities, or request the full technical dossier to evaluate DDIP for regulated engineering teams.