DEEP TECHNICAL ARCHITECTURE

87,938 lines of
deterministic intelligence.

Not a wrapper around an LLM. A complete intelligence infrastructure with 8 governance engines, graph-constrained decoding, self-expanding knowledge, and sovereign delivery.

Architecture Layers

Four layers of computational sovereignty.

Layer 1

Collection Layer

SearXNG-powered isolated search across 50+ independent sources. Each source immediately scored by Signal Physics before proceeding.

SearXNGSignal PhysicsSource RegistryAPI CollectorsRSS Monitors
Layer 2

Validation Layer

Multi-engine forensic validation. Falsarium gate, source credibility, manipulation detection, temporal verification, contradiction scanning.

FalsariumForensic EngineCredibility RegistryContradiction CascadeTemporal Decay
Layer 3

Intelligence Layer

Bayesian convergence, graph-constrained decoding, neuro-symbolic bridge, knowledge graph operations, gap detection and auto-filling.

Convergence EngineLogits ProcessorEntity TrieGap EngineKnowledge Graph
Layer 4

Governance Layer

Human-in-the-loop approval, continuous validation sweeps, provenance certificates, audit trail, compliance enforcement.

HITL RouterContinuous ValidationProvenance CertsCerebral RouterEU AI Act

Infrastructure by the Numbers

2,197
Librarian Router
Master governance switchboard
963
Falsarium
Inverse falsehood encyclopaedia
906
Gap Engine
Self-expanding intelligence
673
Cerebral Router
Epistemic throttle bridge
674
Neuro-Symbolic Bridge
3-layer deterministic output
653
Continuous Validation
10 sweep types
506
Signal Physics
5-dimension analysis
498
Convergence Engine
Bayesian truth probability
496
Logits Processor
Graph-constrained decoding
981
Four-Tier Intel
Computational sovereignty
692
Source Credibility
Registry + debunking
777
Universal Library
Cross-tenant knowledge

8 Governance Engines

Every intelligence claim passes through these before reaching the vault.

1
Librarian Router
9 routing decisions across 5 validation phases
2
Falsarium Gate
6 scanners, 20 corruption mechanisms, tri-gate logic
3
Signal Physics
Velocity, entropy, decay, saturation, chaos scoring
4
Convergence Engine
Bayesian updating with source independence assessment
5
Cerebral Router
8 sensor dimensions, self-diagnosing throttle
6
Forensic Engine
Source bias, manipulation, metadata forensics
7
Gap Engine
8 gap types, autonomous research + HITL submission
8
Continuous Validation
10 sweep types keeping the graph alive
Core Intelligence Systems

Verified intelligence.
36.7 million checks per second.

Not a wrapper around an LLM. A purpose-built verification engine that cross-references claims against multiple independent sources, detects contradictions in real time, and mathematically eliminates misinformation before it reaches your decision.

Verification Engine

Multi-Source Truth Convergence

Every claim is checked against multiple independent sources simultaneously. Agreement from unrelated sources builds trust. Contradictions trigger immediate investigation. The more sources align independently, the higher the confidence score.

36.7M verifications/sMulti-source cross-refReal-time scoringSigned certificates
Defense Layer

Misinformation Elimination

Active defense against coordinated misinformation, propaganda, and AI-generated false narratives. 523,255 false claims caught and eliminated under adversarial testing. Organized manipulation campaigns are detected and neutralized before they can influence results.

523K lies eliminated0 false positives1M attack queries survivedReal-time detection
Proof System

Cryptographic Audit Trail

Every answer comes with a signed proof certificate showing exactly how it was derived, which sources contributed, and why the conclusion is trustworthy. Full SHA-256 provenance chain. If regulators ask "why did you trust this?" — you have the receipt.

SHA-256 signedFull derivation chainExportable (PDF/JSON)Regulator-ready
Governance

Human-in-the-Loop Control

Nothing enters your knowledge base without human approval. Intelligence blocks until a qualified person reviews and accepts. Weekly security rotation ensures no stale access. Every decision is logged, auditable, and irreversible.

Mandatory human approvalWeekly token rotationFull audit DVRRole-based access
Compliance

EU AI Act Native Architecture

Not retrofitted compliance — built from day one to exceed High-Risk AI requirements. Full transparency, derivation chains, human oversight, accuracy guarantees. Articles 13, 14, 15, 17, 50, 52, 86 satisfied by architecture, not policy documents.

12/12 articles compliantExceeds High-Risk tierArchitecture-levelAudit-ready
Security

5,250 Attack Vectors — Zero Breaches

Penetration tested across 12 categories including SQL injection, auth bypass, prompt injection, supply chain, and AI-specific attacks. Five rounds recorded on camera. Zero successful breaches. Zero data exfiltrated. Defense-in-depth with 4+ layers.

5,250 vectors tested12 attack categories5 recorded pentests0 breaches
How It Works

From raw data to
proven intelligence.

Every claim starts unverified and must earn trust through independent corroboration, time, and human approval. Under clean conditions, roughly 40% of claims earn “proven” status. Under adversarial attack, zero false claims get through.

🌐
Collect from 50+ SourcesMulti-Source

Automated collection across news, academic papers, government filings, regulatory databases, corporate disclosures, and real-time feeds. Each source independently scored for reliability and credibility.

🛡
Screen for MisinformationDefense Layer

Before any claim accumulates trust, it is checked against known contradictions and active disinformation campaigns. If it conflicts with established verified facts, it is eliminated immediately.

🔍
Cross-Reference & VerifyConvergence

Independent sources that agree on the same claim build trust. The key word is independent — echo chambers and copied content are detected and discounted. Only genuinely separate confirmation counts.

📊
Score ConfidenceTrust Score

Every claim receives a continuously updated trust score based on source quality, independent corroboration, recency, and consistency with established knowledge. Scores are transparent and auditable.

👁
Human Reviews & ApprovesHuman-in-the-Loop

Intelligence blocks until a qualified human reviews and accepts. This is not optional. The system will not proceed without human authorization. Every approval is logged permanently.

Continuous Re-VerificationNever Stale

Trust decays over time. Old claims must be re-verified with fresh evidence or they fade. Knowledge never goes stale undetected — the system actively flags aging information for review.

Deliver with Proof CertificateVerified Output

Only claims that pass all checks are delivered. Each comes with a signed proof certificate showing sources, derivation chain, confidence level, and timestamp. Exportable for compliance or audit.

Proven at Scale

1 billion queries processed in 28.4 seconds. Zero performance degradation under sustained load. Zero false positives under adversarial attack. Same results on any hardware — fully deterministic output to 15 decimal places.

Active Defense

A living database
of known lies.

DeeCi doesn't just know what's true — it actively catalogues what's false. Known misinformation is permanently flagged and any new claim attempting to reintroduce it is caught and eliminated instantly. 523,255 false claims killed under adversarial testing. The system gets stronger with every attack it survives.

Known Falsehood Matching

Checks every claim against a comprehensive database of known false statements and their variants. Catches exact matches and rephrased versions.

AI Hallucination Detection

Identifies AI-generated misinformation: hedging language, fabricated citations, statistically improbable claims, and confidence without evidence.

Manipulation Detection

Catches emotional exploitation, outrage bait, tribal signaling, and fake authority claims designed to bypass rational evaluation.

Source Reputation Tracking

Cross-references against known misinformation sources. Tracks credibility over time and flags sources with declining reliability.

Variant Detection

Identifies mutated versions of known falsehoods that attempt to evade detection through paraphrasing or recontextualization.

Viral Pattern Analysis

Analyzes how claims spread. Genuine information propagates differently than manufactured narratives — the pattern reveals the intent.

Every Claim Gets One of Three Verdicts
PASS

No red flags detected. Claim proceeds to verification pipeline.

BLOCK

Known falsehood or variant detected. Eliminated with forensic report.

INVESTIGATE

Uncertain — triggers additional source collection for resolution.

20 Misinformation Tactics Detected
MisquotationDecontextualizationFabricationStatistical ManipulationCherry PickingFalse EquivalenceStraw ManAppeal to AuthorityAI HallucinationTranslation ErrorSatire MisreadOutdated TruthOversimplificationCorrelation as CausationSurvivorship BiasSelection BiasAnecdotal GeneralizationDeepfakeManipulated MediaQuote Mining
Knowledge Expansion Pipeline
1
Gap Detected
Question reveals missing knowledge or graph inconsistency
AUTO
2
Research Dispatched
Automated probes sent to 50+ verified sources
ACTIVE
3
Answer Drafted
Candidate entry generated with full source attribution
STAGED
4
Human Review
Awaiting human approval before integration
REVIEW
5
Approved
Human validated — now part of the verified knowledge base
PASS
6
Live & Verified
Available for all queries with full provenance chain
LIVE
Domains Covered
Finance & MarketsEconomicsRisk ManagementCompliance & RegulationLegalGeopoliticsCorporate StrategyDue DiligenceCommoditiesMathematicsOperationsForensicsSupply ChainCybersecurityESG & Sustainability
Self-Expanding Knowledge

DeeCi knows
what it doesn't know.

When you ask a question that reveals a gap in knowledge, the system doesn't guess — it actively goes and finds the answer from 50+ sources, verifies it, and adds it to the knowledge base for next time. Every question makes the system smarter. Nothing is added without human approval.

Missing Knowledge— A question was asked that has no verified answer yet
Contradicting Sources— Two sources disagree and need resolution
Outdated Information— Knowledge past its freshness threshold
Incomplete Coverage— Domain below minimum knowledge depth
Broken References— An answer cites something with no backing evidence
User-Flagged— A human explicitly marked something for investigation
Voice Intelligence

“Hey DeeCi.”
Ask questions. Get verified answers.

Voice-native intelligence with zero ambient recording and sub-2-second response time. Ask a question, get a verified answer with proof — all processed on our infrastructure, never routed through third-party services. Your conversations stay sovereign.

🛡
Zero Ambient Recording
Audio lives only in a volatile 3-second rolling buffer. Purged the instant your request is processed. No background listening. Ever.
🧠
Processed On Our Infrastructure
Speech-to-text runs entirely on our servers. Zero third-party API calls. Your voice data never leaves our secure environment.
Sub-2-Second Verified Answers
Questions matched against the verified knowledge base first. Proven intelligence with high confidence spoken back immediately.
📋
Full Compliance
Audio disclosure on every connection. AI nature disclosed in every session. Proof certificates maintained even in voice mode.
🔄
Gets Smarter Over Time
Every interaction drives continuous improvement. Accepted and adjusted responses inform future accuracy. The system learns from use.
5 Privacy States — Always Visible
IDLELISTENINGPROCESSINGREDACTEDAUDIT
ON-PREMISES
< 2 SEC RESPONSE
ZERO RETENTION

37 Intelligence API Endpoints

Full programmatic access to the intelligence infrastructure.

Intelligence Core
/v1/intelligence/chat
/v1/intelligence/chat-stream
/v1/intelligence/query
/v1/intelligence/research
Knowledge Graph
/v1/intelligence/graph
/v1/intelligence/graph/seed
/v1/intelligence/gaps
/v1/intelligence/contribute
Governance
/v1/intelligence/governance-review
/v1/intelligence/hitl-approve
/v1/intelligence/provenance
/v1/intelligence/provenance/chain
Forensics
/v1/intelligence/cross-document
/v1/intelligence/signature-analysis
/v1/intelligence/fraud-detection
/v1/intelligence/device-fingerprint
OSINT
/v1/intelligence/osint/query
/v1/intelligence/osint/collect
/v1/intelligence/osint/unified
/v1/intelligence/osint/ingest
Operations
/v1/intelligence/sweeps
/v1/intelligence/credits
/v1/intelligence/tier
/v1/intelligence/inference-control
RESEARCH FOUNDATION

Published Position Papers

The theoretical foundations behind DeeCi are published, peer-reviewable, and independently reproducible.

T1 — Position Paper
The Physics of Reasoning
Conservation laws, phase quantization, and Hamiltonian dynamics applied to epistemic verification. The mathematical basis for why DeeCi can guarantee convergence.
DOI: 10.5281/zenodo.21913310
T2 — Position Paper
Deterministic Zero-Trust
Trust as a computable, decaying, revocable, cryptographically-bounded physical quantity. The security model that makes sovereign intelligence possible.
DOI: 10.5281/zenodo.21913322