10× faster network design, validation, and security through on-premise AI
vExpertAI deploys a council of specialized AI agents that work alongside network engineers to eliminate configuration errors, reduce downtime by 80%, and accelerate network design cycles by 250%—all while maintaining complete data sovereignty through on-premise deployment.
Enterprise networks are the backbone of digital operations, yet they remain vulnerable, slow to deploy, and expensive to maintain
Modern networks are complex, mission-critical, and expensive to maintain
What sets vExpertAI apart in the enterprise AI infrastructure market
Zero cloud dependency. Models run entirely on customer infrastructure, ensuring data sovereignty and meeting GDPR, HIPAA, and NIS2 requirements. No vendor lock-in.
Multi-agent architecture where each agent is powered by specialized fine-tuned LLMs (Llama, Mistral, Qwen, GPT-OSS). Multi-layer memory system combines short-term context with persistent knowledge across PostgreSQL (structured data), vector databases (semantic search), and graph databases (network topology relationships) for context-aware decision-making.
Engineers maintain control with approval workflows. AI accelerates routine tasks while humans make final decisions on critical changes.
Founded by Eduard Dulharu, senior network architect with 20 years in Fortune 500 infrastructures. CCIE-level expertise built into every feature.
Works across Cisco, Juniper, Arista, Palo Alto, and other major vendors. Eliminates dependency on proprietary vendor consultants.
Continuous security posture monitoring against CVEs, threat intelligence, and compliance frameworks. AI agents automatically assess configurations against latest vulnerabilities and regulatory requirements.
Enterprise-grade AI infrastructure designed for reliability, scalability, and data sovereignty
Each agent in the council runs a fine-tuned LLM optimized for its domain: Llama for configuration generation, Mistral for security analysis, Qwen for troubleshooting, GPT-OSS for documentation and compliance. No generic chat models—every agent is purpose-built.
Short-term: Context window management for active sessions
Structured: PostgreSQL for configuration history and audit trails
Semantic: Vector databases for similarity search across past incidents
Relational: Graph databases for network topology and dependency mapping
Retrieval-Augmented Generation combines multiple data sources to ground AI responses in actual network state. Graph DB understands device relationships, vector DB retrieves relevant past solutions, PostgreSQL ensures audit compliance—all queried in real-time per request.
Complete stack runs on customer infrastructure. Fine-tuned models are deployed locally, all databases remain behind the firewall, and zero telemetry is sent to external services. Full air-gap capability for high-security environments.
Continuous CVE monitoring ingests NIST, CISA, and vendor security advisories. Graph database maps vulnerabilities to actual deployed devices. AI agents automatically generate remediation configs and priority rankings based on network topology and business criticality.
Council coordinator routes queries to appropriate specialist agents, aggregates responses, detects conflicts, and surfaces recommendations with confidence scores. Human engineers approve final actions, maintaining safety while achieving speed.
Early-stage venture with growing enterprise engagement
Active development of AI-powered security compliance solution with real-time CVE monitoring and threat assessment. Platform built on 20+ years of enterprise network architecture experience in Fortune 500 environments.
Founder Eduard Dulharu delivered keynote "The Rise of Autonomous Infrastructure: How AI Agents Transform Operations" at AI Agent World Tour Munich, establishing technical credibility in the AI infrastructure community.
Collaborating with network architecture firms and enterprise IT consultancies to expand go-to-market reach. CCIE-certified advisors validate technical approach.
Based in Munich, Germany—Europe's AI and enterprise software hub. Positioned to serve European enterprises requiring GDPR-compliant, on-premise AI solutions. Free AI strategy calls available for qualified enterprises.
Deep technical expertise combined with enterprise network operations experience
MSc Information Security. 20+ years architecting Fortune 500 network infrastructures. Expert in high-availability, multi-vendor environments with proven track record in financial services where network uptime is mission-critical. Led teams managing networks processing billions in daily transactions.
Strategic partnerships and growth initiatives. Expanding enterprise customer base and building investor network. Focus on European markets and GDPR-compliant AI solutions.
CCIE-certified network architects including Tony Kuzman and Aldo Kirschner provide deep technical validation and enterprise customer insights. Currently recruiting AI Engineer to accelerate model development.
vExpertAI is seeking strategic investors who understand the enterprise infrastructure market and the transformative potential of autonomous AI agents in network operations. We're building relationships with Martell Ventures and similar firms focused on B2B SaaS, AI infrastructure, and European enterprise software.