The Evolution Towards a Cognitive and Semantic Architecture
A major shift towards dynamic ontologies, AI state management, and asynchronous orchestration.
Made in Morocco 26 Patent Claims
Sovereign Decision Intelligence
The first 100% on-premise AI platform designed for enterprises and governments who refuse to compromise on data sovereignty. 99.9% precision via Certified Augmented Generation — your data never leaves your premises. In a world where 85% of AI projects never reach production, ArcaQ provides the missing layer: a live operational ontology that makes every AI use case deployable, governed, and compounding.
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THE INDUSTRIAL AI REALITY 2025/2026
The Models Work. The Infrastructure Is Missing.
Global enterprises are spending hundreds of billions on AI and getting very little back. The failure is not in the models — it is in the absence of codified operational structure that makes AI contextual, governed, and scalable.
85%
of AI initiatives
fail to meet expected outcomes
Gartner / McKinsey 2025
95%
of GenAI deployments
show zero measurable P&L return
MIT Project NANDA 2025
42%
of companies
abandoned most AI initiatives in 2025
ISG Enterprise AI Report 2025
5%
of organisations
generate real, documented P&L impact all built operational structure first
MIT NANDA 2025
THE PoC GRAVEYARD
Fragmented data, inconsistent and ungoverned
Context lost — AI has no model of how you work
Authority undefined — AI decisions trusted too much or not at all
Each use case built from scratch at $1M+ a time
WITH ARCAQ + ArcaX
Live operational ontology — a single connected model of how you operate
Context preserved — every AI agent knows your processes, decisions, authority
Governance by design — authority boundaries embedded from day one
Compounding value — use case 10 costs a fraction of use case 1
The wedge that breaks open industrial AI adoption is not a better model. It is codified operational structure. — ISG / McKinsey / MIT, 2025–2026
17+ AI Agents
Enterprise AI Without Compromise
A constellation of specialized AI agents — including OLM and OOC as first-class agents — working in orchestration to deliver secure, explainable, and sovereign artificial intelligence.
Brain Agent
Knowledge graph and semantic search engine. Organize and query your enterprise knowledge with RDF/SPARQL.
- Knowledge graph (Jena TDB2)
- Semantic search & RAG
- RDF/SPARQL queries
- Vector embeddings
Brain-Ingestion Agent
Intelligent knowledge extraction from any source. Transform documents into structured knowledge automatically.
- PDF, Excel, Word extraction
- LLM-powered RDF generation
- MCP & API connectors
- Provenance tracking
Shield Agent
Real-time compliance and security validation. Every AI interaction is checked against your policies.
- PII detection (Presidio)
- GDPR/CNDP compliance
- Prompt injection defense
- Data classification
Vault Agent
Access control and encryption management. Zanzibar-style authorization with cryptographic security.
- ReBAC (OpenFGA)
- End-to-end encryption
- Immutable audit logs
- Key management
Refinery Agent
Quality validation and expert review. Ensure AI outputs meet your organization's standards.
- Output validation
- Expert review workflows
- Quality scoring
- Feedback loops
ArcaX
Connect Agent — powered by ArcaX
Unified agentic MCP gateway. ArcaX is the structural scaffold that connects every AI agent to your operational ontology, data sources, and external systems — governed, auditable, sovereign.
- MCP server (stdio/SSE/HTTP) — 43 tools
- Source registry: every connector is a governed use case
- REST/GraphQL/SPARQL APIs with authority boundaries
- Real-time SSE streaming, zero cloud dependency
Semantic Builder Agent
Automated Schema.org and structured data generation. Enhance SEO and AI discoverability with semantic markup.
- Schema.org JSON-LD generation
- Rich snippets optimization
- Knowledge graph integration
- AI-ready structured data
Catalog Agent
Automated metadata catalog synchronization. Sync expert profiles, business domains, and data lineage with OpenMetadata 100% on-premise.
- OpenMetadata integration
- Expert profile management
- Domain & subdomain mapping
- Audit event logging
Second Brain Agent
Personal knowledge graph and company-wide Living Encyclopedia. Two-level knowledge management for individuals and the enterprise.
- Personal knowledge graph
- Company Living Encyclopedia
- LLM-powered auto-linking
- Bi-temporal graph evolution
W3C OWL
RDF
SPARQL
Self-Healing
Ontology Builder Agent
Autonomous ontology construction, Agent Auction dispatch bus, and self-healing of orphan nodes and temporal overlaps.
- Autonomous ontology construction
- Agent Auction bid/dispatch bus
- Ontology self-healing ≥90% confidence
- 360° multi-facet aggregator
First-class Agent
Event Bus
OLM Agent
Ontology Lifecycle Management as a first-class agent. Drives DRAFT → APPROVED → ARCHIVED transitions and emits enrichment events to the correlation pipeline.
- First-class agent in the ArcaQ constellation
- OLM Enrichment Dashboard with live state
- Correlation with HGT, GNN, causal & SCAG
- PROV-O lineage on every transition
First-class Agent
SHACL/OWL
OOC Agent
Operational Ontology Contract enforcement as a first-class agent. Compiles multilingual YAML into OWL + SHACL and validates every write to the knowledge graph.
- First-class agent in the ArcaQ constellation
- YAML → OWL T-Box + SHACL A-Box compiler
- Runtime validation on every graph write
- Feeds the correlation pipeline
Rule Agent
Governance policy enforcement embedded in the API layer. Validates every query against declarative business rules before execution.
- Declarative governance rules
- Pre-execution policy validation
- Jurisdiction-aware compliance
- Audit trail on every decision
Federated GNN Agent
Graph Neural Network training with FedAvg weight delta exchange across cluster nodes. Raw data never leaves the tenant boundary.
- FedAvg federated learning
- Differential privacy (DP noise)
- Zero raw data sharing
- RLHF graph amplification
Unified Data Governance Hub
ArcaQ recommends OpenMetadata as the unified data governance platform. Seamlessly integrate metadata management, data discovery, and lineage tracking with sovereign AI capabilities.
Talentys, ArcaQ's parent company, is an OpenMetadata Center of Excellence and a reference in its integration.
1.0 ✓
1.1 ✓
1.2 ✓
1.3 ✓
1.4 ✓
1.5 ✓
1.6 ✓
1.7 ✓
1.8 ✓
1.9 ✓
1.10 ✓
1.11 ✓
1.12 ✓
1.13 ✓ latest
Metadata Management
Data Discovery
Lineage Tracking
Quality Monitoring
Ontology (W3C OWL)
AI Stack Transparency
Agent Control PlaneArcaQ does NOT develop proprietary LLM models. Every LLM call is routed through the Agent Control Plane to an external enterprise LLM (Kimi K3) that can be operated in-house or by a sovereign provider. The LLM only formats certified Knowledge Graph facts — it never generates answers from raw source data.
What We Use
- Agent Control Plane - External enterprise LLM mediation (Kimi K3)
- Kimi K3 - Sovereign/in-house hosted reasoning & formatting
- CPU-only - Intel AMX / AMD AVX-512 optimized (no GPU required)
- Apache Jena - Knowledge Graph (RDF/SPARQL/OWL)
- OpenMetadata - Data governance and catalog
What We DON'T Do
- No proprietary LLM - We don't train or develop our own models
- No direct source access - The LLM never reads connectors or raw data directly
- No creative generation - LLM only formats certified Knowledge Graph data
- Not a ChatGPT competitor - Complementary, decision-focused platform
CAG Architecture: How Responses Are Generated
Knowledge Graph
Apache Jena TDB2
SPARQL Query
Certified facts retrieval
Verified Data
Pre-certified results
Agent Control Plane
Kimi K3 formatting
Human Response
0.1% hallucination
The LLM cannot invent facts. If SPARQL returns empty "Information not available"
New in Enterprise V1
Autonomous Agents Studio
Create profile-safe async agents for daily analysis, compliance reporting and decision support. Every run is isolated, auditable, and orchestrated on-premise with KubernetesExecutor.
Create Once
Define the role, prompt, tools and output format once. Reuse the same agent across recurring tasks.
Run Async, Stay Fluid
No resource lock in UI. Runs are queued asynchronously and executed in isolated pods with full traceability.
Deliver Any Format
Return free-form output as text, JSON, D3 graph, PDF, Excel or HTML depending on user needs.
New — v1.0.4
Correlation Quarantine
4-eyes SME validation for AI-suggested ontology correlations — before they reach the production knowledge graph.
AI-Detected Correlations
The Brain agent auto-detects semantic correlation candidates and places them in quarantine with a confidence score before any knowledge graph write.
4-Eyes Mandatory Approval
Every candidate requires two independent SME approvals. A single rejection blocks the entire batch, preventing false correlations from entering production.
Atomic SPARQL Promotion
Validated correlations are atomically promoted to the production knowledge graph via SPARQL UPDATE — with full provenance, version, and diff tracking.
Immutable Audit Trail
Every decision — approval, rejection, reviewer identity, timestamp, and reason — is permanently recorded and accessible from the governance dashboard.
Patented Architecture Claims 1-4
Certified Augmented Generation
The industry evolved from RAG to Context Augmented Generation. ArcaQ goes further our Certified Augmented Generation adds a governance & provability layer where every fact is mathematically traceable to its source.
Industry Standard
RAG
15-20% HallucinationRetrieval Augmented Generation
1
User query
2
Vector search (approximate)
3
LLM interprets & generates
4
Response (may hallucinate)
- Approximate vector similarity search
- LLM invents facts beyond context
- No auditability or data lineage
Industry Trend 2024
CAG Context
5-10% HallucinationContext Augmented Generation
1
User query
2
Full corpus in long context
3
LLM still interprets freely
4
Better but still hallucinates
- No vector DB simpler architecture
- LLM still interprets can still fabricate
- Limited by context window (2M tokens max)
ArcaQ
ArcaQ ? Patented
CAG Certified Patented
0.1% HallucinationCertified Augmented Generation
1
User query
2
SPARQL on Knowledge Graph
3
LLM formats only never invents
4
Certified & auditable response
- Formal verification every fact traceable
- LLM formats certified facts 0% fabrication
- SCAG: 4 Semantic Control & Governance Layers
99.9%
Semantic Precision
vs 80-85% for standard RAG
0%
Fact Fabrication
LLM cannot invent only format
100%
Auditable Responses
Full lineage from source to output
4
SCAG Filter Layers
Legal Hierarchical Cultural Intangible
While the industry adopts Context Augmented Generation, ArcaQ's Certified Augmented Generation protected by Patent Claims 1-4 (OMPIC, USPTO, PCT, EPO) is the only architecture that mathematically proves every fact.
See CAG in Action
Why Sovereignty Matters
Your Data. Your Rules. Your Infrastructure.
In an era where AI requires massive data processing, the question isn't just "What can AI do?" but "Where does my data go?"
Zero Cloud Dependency
No data ever leaves your data center. Full air-gap deployment available.
Jurisdictional Control
Your data stays under your legal jurisdiction. No foreign government access.
You Own Everything
Models, data, outputs - complete ownership with no vendor lock-in.
Regulatory Compliance
Meet GDPR, HIPAA, local banking regulations, and government security requirements.
Cloud AI
Data sent to external servers
Subject to foreign laws
Vendor controls your AI
Internet required
ArcaQ Sovereign AI
Data stays on-premise
Your jurisdiction only
Complete ownership
Air-gap capable
Intellectual Property & Compliance
26 Patent Claims 63 Jurisdictions
ArcaQ's technology is protected by international patents filed under PCT (Patent Cooperation Treaty) covering 157 countries. Our compliance engine automatically handles 63 data protection regulations across 5 continents.
26
Patent Claims
63
Compliance Jurisdictions
5
Continents
Europe
18 countries
Africa
12 countries
Asia-Pacific
14 countries
Middle East
8 countries
Americas
10 countries
Patent Filings
OMPIC Morocco
PCT International
USPTO
EPO Europe
Global Coverage
New — Phase 13
Cognitive OS — The Thinking Enterprise
Dual-graph personal+collective knowledge, 360° organisational context, real-time expert notifications, federated GNN, and autonomous ontology self-healing.
Dual-Graph Knowledge Engine
Every user builds a personal knowledge graph that continuously feeds the collective bi-temporal ontology (OLM).
Personal graph
Collective OLM
Precision Notification System
Experts and users receive targeted real-time alerts via Server-Sent Events. Zero noise, maximum accuracy.
SSE Real-time
Expert-targeted
User-targeted
OLM Bi-Temporal Time Travel
Travel back in time across your ontology. Every triplet carries valid-time and transaction-time windows. Patent Claim 25.
BFS Wave Propagation
Visualise how knowledge spreads. The BFS wave animation reveals hidden connection chains — level by level, in real time.
Agent Auction Bus
Multiple AI agents bid in real time to handle tasks. The most confident and cost-efficient agent wins. Fully auditable.
Ontology Self-Healing Tribunal
Orphan nodes, temporal overlaps — detected and auto-healed above 90% confidence. Below threshold, escalated to human experts.
Federated GNN
Graph Neural Network training distributed across tenants without sharing raw data. Differential privacy (Gaussian noise) protects each participant.
360° Organisational Context
One query, all facets. ArcaQ aggregates your entire organisational knowledge graph and returns a structured 360° view with per-facet coverage scores.
Sovereign Backbone
Connect, Orchestrate, Observe — All On-Premise
ArcaQ ships with its own integration layer, agent auction bus, SOC constellation and observability stack. No sibling product required.
Sources
⟶
Connect
+
Agent Control Plane
+
SOC
+
OTEL
⟶
ArcaQ KG
⚡
ArcaQ Connect
MCP + CDC Integration Hub
Ingest databases, APIs and documents via MCP, Kafka/Debezium CDC, REST and GraphQL.
- ›MCP servers (stdio/SSE/HTTP)
- ›PostgreSQL WAL + MySQL binlog CDC
- ›Real-time Knowledge Graph update
- ›Public-source demo connectors
🛠️
Agent Control Plane
External Enterprise LLM Mediation
Every LLM call routes through the ACP to Kimi K3 or any sovereign/hosted model — source data never leaves.
- ›Token budget + circuit breaker
- ›Formatting-only over certified KG facts
- ›ReBAC authorization per call
- ›PROV-O trace per reasoning step
🛡️
Sovereign SOC
5-Pod Security Operations Constellation
Collector, analyzer, responder, forensics and dashboard work together to detect, contain and audit platform events.
- ›Real-time Kafka event ingestion
- ›Automated containment with RBAC
- ›Immutable evidence + chain of custody
- ›WebSocket operator dashboard
📊
Observability
Full-Stack AI Observability
Every agent action, scale event and enrichment trace is captured on-premise via OpenTelemetry.
- ›Distributed traces per agent + query
- ›Grafana dashboards — latency, errors, throughput
- ›Prometheus + KEDA metrics
- ›Zero external telemetry
Enterprise V1
ArcaQ Enterprise V1 — v1.1.13 in Production
v1.1.13 · August 2026
What is New in v1.1.13
Stage 3 — Swarm & Sovereign SOC
Stateless swarm orchestrator, 5-pod SOC constellation, Kafka/KEDA runtime, and Agent Control Plane for external enterprise LLM mediation.
OLM & OOC as first-class agents
Ontology Lifecycle Management and Operational Ontology Contracts are now full members of the ArcaQ agent constellation with their own event buses.
OLM Enrichment Dashboard
Real-time view of the Qdrant → LLM → SHACL → Jena enrichment pipeline with causal workflow states, HGT consensus tiers and PROV-O lineage per event.
Correlation pipeline
End-to-end correlation across SME causality, OLM, OOC, HGT, GNN and SCAG — tested and traced through the knowledge graph.
MCP public-source demo
Connectors load public knowledge through MCP and standard APIs, then feed auto-linking, auto-discovery of causality and KG enrichment.
Multi-role Keycloak auth
Enterprise-ready RBAC/ReBAC with profiles for every persona — operator, SME, architect, auditor, admin — mapped to named-graph permissions.
Kimi K3 via Agent Control Plane
External enterprise LLM mediation through the Agent Control Plane. Kimi K3 is hosted in-house or by a sovereign provider — no source data reaches untrusted endpoints.
OOM safeguards & PostgreSQL backups
Memory limits and scheduled database backups keep the cluster stable under load, including image-heavy repositories and bursting pods.
What is Coming Next
- → v1.2 - SCAG v2 with temporal jurisdiction arbitration and adaptive policy engine
- → v1.3 - Federated multi-tenant Knowledge Graph with cross-tenant provenance
- → v2.0 - ArcaQ Enterprise V2 - Cognitive Operating System
- → ArcaQ MCP Marketplace - certified connectors and community tools
Must Read
Key insights into Sovereign AI architecture
Knowledge Graphs & RDF: Transforming Enterprise Data
Learn how knowledge graphs using RDF and SPARQL can transform unstructured enterprise data into actionable intelligence. Practical examples and use cases included.
Overseas AI Visibility Playbook for US, KSA, EAU, North Africa and France
A practical market-by-market SEO plan for sovereign AI visibility, on-prem deployment, Arabic AI, and governed enterprise search.
ArcaQ Enterprise V1 · April 2026
ArcaQ Enterprise V1 — The Genetic Memory of your Organization
April 2026 · Enterprise V1 — Now Live in Production
ArcaQ Enterprise V1 is live: Living Encyclopedia of your organization, Enterprise & Personal Second Brain, and multi-model AI (gemma3:27b + qwen2.5:14b) — 100% on-premise, zero cloud dependencies.
Encyclopedia
Genetic Memory
Second Brain
Enterprise
Second Brain
Personal / User
gemma3:27b
+ qwen2.5:14b
100%
On-Premise
26
Patent Claims
SCAG
4-Layer Filter
Understanding ArcaQ How is ArcaQ Different?
Clarifying our position in the modern data & AI stack
ArcaQ vs DataOS: What's the difference?
DataOS
Focus: Data orchestration & governance
Purpose: Unify data silos, create data mesh/fabric
Core: Data engineering, cataloging, ETL/ELT pipelines
Output: Accessible, governed data products
ArcaQ
Focus: AI agent orchestration for intelligent decisions
Purpose: Transform data into actionable decisions via sovereign AI
Core: 9 specialized AI agents (Brain, Connect, Shield, Vault, Refinery, Ingestion, Semantic Builder)
Output: Automated insights, recommendations, actions
Complementary positioning: DataOS prepares & governs your data ? ArcaQ exploits that data via sovereign AI to drive decisions.
Read the full comparisonArcaQ vs Palantir: What's the difference?
Palantir
Focus: Defense & government data fusion
Deployment: Cloud-first, US-based infrastructure
Cost: $10M+ annual contracts, vendor lock-in
ArcaQ
Focus: Enterprise decision intelligence for all sectors
Deployment: 100% on-premise, absolute data sovereignty
Cost: Transparent pricing, no vendor lock-in
Key difference: ArcaQ offers true data sovereignty with 100% on-premise deployment, while Palantir requires cloud infrastructure and US oversight.
Read the full comparisonWhat makes ArcaQ unique?
- Agentic AI: Autonomous agents that reason and act independently
- Agent Control Plane: External enterprise LLM mediation (Kimi K3) — sovereign, interchangeable, no raw-source access
- 26 Patent Claims: Unique IP on decision intelligence & sovereignty
- 100% On-Premise: Absolute sovereignty - your data never leaves (vs cloud alternatives)
- OpenMetadata Integration: Talentys (ArcaQ's parent) is a Center of Excellence
Where does ArcaQ fit in my data stack?
1
Data Infrastructure
Databases, data lakes, warehouses
2
Data Governance
OpenMetadata, Collate, DataOS
3
Decision Intelligence (ArcaQ)
AI agents analyzing, reasoning, recommending
4
Business Applications
Dashboards, apps, automated workflows
Real-world scenario: Multi-department decision making?
Scenario: Strategic M&A Decision in 48 hours
A CFO needs to evaluate an acquisition target. Traditionally, this takes 2-3 weeks. With ArcaQ's sovereign decision intelligence:
T+0h
Query Launch
CFO asks: "What's the strategic value of acquiring Company X?" ArcaQ Brain Agent orchestrates 9 specialized agents.
T+2h
Multi-Department Data Collection
- Finance: Historical P&L, cash flow projections (via Connect Agent ? ERP/SAP)
- HR: Talent overlap, culture fit analysis (via Knowledge Agent ? HRIS)
- Operations: Supply chain synergies, warehouse capacity (via Engineer Agent ? MES/WMS)
- IT: Tech stack compatibility, security posture (via Shield Agent ? CMDB)
- Legal: Regulatory compliance, IP portfolio (via Meta Agent ? DMS)
T+24h
Collective Knowledge Synthesis
Brain Agent synthesizes 127 data sources into a unified knowledge graph. Identifies 23 strategic synergies, 8 integration risks, 4 regulatory blockers.
T+48h
Actionable Decision Package
CFO receives: valuation range (18-24M), integration roadmap (12 months), risk mitigation plan, board presentation deck. Decision made in 48h vs 3 weeks traditionally.
18 days
Time saved
127
Data sources unified
100%
Cross-dept. completeness
On-Premise
100% Sovereign
What LLM does ArcaQ use? Do you have your own AI model?
Reality
NO, ArcaQ does NOT develop its own LLM. Every LLM call is routed through the Agent Control Plane to an external enterprise LLM (Kimi K3) operated in-house or by a sovereign provider. The LLM only formats certified Knowledge Graph facts.
Why this matters: Our innovation is NOT in the LLM itself, but in the CAG (Certified Augmented Generation) architecture that eliminates hallucinations. The LLM only formats pre-verified facts from the Knowledge Graph - it cannot invent information.
- 100% sovereign mediation - Agent Control Plane keeps source data on-premise, LLM hosted in-house or by a sovereign provider
- CPU-only supported - Intel AMX / AMD AVX-512 optimized, no expensive GPU required
- Model agnostic - Any enterprise LLM can be wired through the Agent Control Plane
- No direct source access - The LLM never reads connectors or raw data; it only formats certified Knowledge Graph facts
Is ArcaQ a ChatGPT competitor? What's the difference?
ChatGPT / Claude
Purpose: General-purpose conversational AI
Generation: Probabilistic text generation (can hallucinate)
Data: Trained on public internet data, cloud-based
Best for: Creative writing, brainstorming, general Q&A
ArcaQ
Purpose: Enterprise decision intelligence on YOUR data
Generation: Certified facts from Knowledge Graph (0.1% hallucination)
Data: Your internal data only, 100% on-premise
Best for: Critical business decisions, compliance, auditable AI
Key insight: ArcaQ and ChatGPT are complementary, not competing. ChatGPT excels at creative tasks. ArcaQ excels at decision-making with certified internal data.
Why do 85% of AI projects fail — and what does ArcaQ do differently?
Global research (Gartner, MIT, McKinsey) converges on a single finding: AI failure is not a model problem. It is a structural problem. Organisations deploy AI into operations they have not codified — no shared model of how work gets done, how decisions are made, or where authority sits.
THE STRUCTURAL CAUSES
THE ARCAQ ANSWER
- ✓ Live operational ontology → AI knows how you work
- ✓ Explicit authority layers → AI operates within defined boundaries
- ✓ AI-ready data by design → use-case aligned, continuously governed
- ✓ Governance embedded at design → not retrofitted
- ✓ ArcaX MCP gateway → use case 10 costs a fraction of use case 1
The compounding advantage: Once ArcaQ's operational ontology is live, every new AI use case is deployed into a pre-existing governed structure. The marginal cost of each additional use case approaches zero. This is the structural shift that makes industrial AI a commodity inside your organisation.
Does ArcaQ require expensive GPUs?
No. ArcaQ is optimized for CPU-only deployment using Intel AMX (Advanced Matrix Extensions) and AMD AVX-512 instructions. This enables air-gapped deployment without GPU vendor dependencies.
- CPU-only mode: Works on standard enterprise servers (Intel Xeon, AMD EPYC)
- GPU acceleration (optional): NVIDIA T4/A10 for 3-5x faster embedding generation
- Cost savings: No expensive GPU infrastructure required for production
- Air-gap friendly: No cloud GPU dependencies for isolated environments
How does the Semantic Builder work?
INPUT: Multi-Source Ingestion
Documents (PDF, Word, Excel), Databases (SQL, NoSQL), APIs (REST, GraphQL, MCP)
PROCESS: AI-Powered Semantic Construction
- Ontology Construction: Automatically builds domain-specific schemas with classes, properties, and relationships (OWL/RDFS)
- Semantic Extraction: LLM-powered Named Entity Recognition and Natural Language Processing to identify entities, concepts, and contextual relationships
- RDF/OWL Mapping: Converts extracted knowledge into RDF triples with automated reasoning and inference using Jena TDB2 engine
OUTPUT: Actionable Intelligence
- Knowledge Graph: Sovereign triple store (Jena TDB2) with full ontology and instance data
- SPARQL Endpoint: Real-time query interface with reasoning capabilities for the 17 AI agents
- AI Agent Integration: Direct access for Brain, Connect, Shield, Refinery, Vault, Ingestion, and Semantic Builder agents
Why Semantic Builder matters:
- 100% On-Premise: Your knowledge graph never leaves your infrastructure
- Automated Reasoning: Infers new knowledge from existing relationships
- Multi-Modal: Handles structured, semi-structured, and unstructured data
- Real-time Updates: Continuous ingestion and knowledge graph evolution
Leadership
Meet the Team Behind ArcaQ
Built in Morocco, designed for global impact
CEO
Nabila El Hadi
Strategic Data Governance Leader
Driving data reliability, compliance and enterprise governance across EMEA.
15+
Years
EMEA
Region
CIO
Mustapha Fonsau
Senior Data Architect | ArcaQ Inventor
OpenMetadata SME | Data Strategy, AI Governance & Platforms | Sovereign Decision Intelligence
18+
Years
26
Patents
Join Us
Shape the Future of Sovereign AI
We're building the next generation of decision intelligence. Join us in Rabat, Paris, or remotely.
GTM Specialist - Sovereign Decision Intelligence
The Vision: Arcaq & Sovereign Decision Intelligence
In an era of AI and global data dependency, Sovereign Decision Intelligence (SDI) is the new frontier. Arcaq is more than a data tool; it is a platform designed to give organizations full control over their data assets and decision-making processes.
By integrating with the OpenMetadata and Collate ecosystem, Arcaq bridges the gap between technical metadata and strategic sovereignty. We are looking for a GTM Specialist who understands that data is the ultimate instrument of power and autonomy for modern enterprises.
Your Mission: Evangelist, Strategist & Connector
- Community Leadership: Drive ArcaQ's presence within the OpenMetadata global community. Engage with contributors and users to show how SDI completes the modern data stack.
- Thought Leadership: Create and publish high-level insights on why Sovereignty in data is critical for the next generation of CEOs and CDOs.
- Ecosystem Growth: Identify and build partnerships with stakeholders in Europe and Africa interested in Collate and SDI solutions.
- Market Intelligence: Analyze the competitive landscape and identify "sovereignty gaps" in existing solutions that ArcaQ can fill.
- Lead Generation: Convert digital influence and community interactions into high-value Proof of Concepts (POCs).
Determinant Factor: Personal Branding & LinkedIn Presence
For this role, your digital footprint is your resume. We are looking for a "Voice" in the tech space.
- LinkedIn Mastery: Your profile must be professional, active, and reflect a genuine interest in Tech, Data, or Business Strategy.
- Self-Branding: You have a demonstrated ability to curate content, share opinions, and build an audience.
- Advocacy: You are comfortable being the "face" of a solution and engaging in public-facing digital discussions.
Candidate Profile
- Background: Final year at a Top-tier Business or Engineering School (Bac+5).
- Languages: Fluent English is a must (C1/C2 level) for international community engagement. Perfect French is required.
- Mindset: A "Consultant" mindset able to understand complex technical architectures and translate them into business value.
- Remote Ready: You are disciplined, proactive, and thrive in a 100% remote environment.
- MDM Spirit: We highly value the global perspective of the Moroccan Diaspora and their ability to bridge international markets.
Why ArcaQ?
- Pioneer the SDI Movement: Work on one of the most strategic topics in tech today.
- Direct Path to CDI: Successful interns will be fast-tracked into GTM Manager or Partnership Lead roles.
- Full Remote: Work from Paris or Rabat with total flexibility and a result-oriented culture.
Ready to define the future of Sovereign Tech?
Apply Now - jobs@talentys.eu
Mandatory:
Include your LinkedIn profile URL.
Subject line: GTM ArcaQ SDI - [Rabat/Paris] - [Your Name]
Applications without a LinkedIn profile link will not be considered.
Get Started
Request Your Private Demo
See how ArcaQ can bring sovereign AI to your organization. Our team will prepare a customized demonstration for your industry and use case.
Email
contact@talentys.eu
Location
Morocco Serving the World
Join the Sovereign AI Revolution
Partner with ArcaQ to bring sovereign decision intelligence to Africa and beyond.
Rabat, Morocco
ArcaQ Enterprise V1 is live — Living Encyclopedia · Enterprise Second Brain · User Second Brain · Multi-Model AI — Request a demo · contact@arcaq.com