Zaneffi

Zaneffi builds sovereign AI applications that run entirely on a customer's infrastructure—EU cloud, private cloud, or fully air-gapped. The company positions itself around a core constraint: organizations in critical infrastructure, manufacturing, and regulated industries need AI systems that never leak proprietary data off-site. Rather than wrapping third-party APIs, Zaneffi deploys its own multi-agent architecture with open-source and internally trained models, each optimized for a specific task. The result works offline and requires no external connectivity.

The company serves three distinct product verticals: critical infrastructure maintenance (aerospace, energy, rail, defence, maritime, utilities), industrial operations at scale (automotive, manufacturing, field service, mining), and custom enterprise AI applications. A typical engagement runs from executive briefing through full deployment in 3–6 months, with a production trial phase lasting 8–12 weeks.

Services and capabilities

Zaneffi's core offering is an AI knowledge platform that ingests operational documentation, field notes, and domain expertise, then surfaces answers to technicians in real time. The system captures "tribal knowledge"—the unwritten procedures and troubleshooting steps that live in a senior engineer's head—and makes it searchable and structured.

For critical infrastructure, the company emphasizes reduced downtime, preserved expertise before retirement, compliance auditability, and operational visibility. For industrial maintenance at scale, it focuses on first-time fix rates, multi-site consistency, and reduced mean time to repair. Both apply the same architecture: deployment on customer infrastructure, full data sovereignty, cross-lingual search (40+ languages), voice interfaces for hands-busy environments, and a continuous feedback loop where every resolved issue enriches the knowledge base.

The company also offers system integrations to embed AI capabilities into existing tools rather than replacing them. Custom solutions appear in the enterprise product line—examples cited include healthcare robotics, logistics optimization, and process automation. Zaneffi claims production-ready deployments in weeks for bespoke work, not quarters.

Notable work

Zaneffi's website names eight projects with enough specificity to verify:

Stellantis (automotive): "Unifying Stellantis' global automotive brands for real-time connected car telemetry analytics." The description adds a concrete metric: "processing 30TB monthly from 15M connected vehicles across Stellantis brands."

Capmo (construction): "AI powered data retrieval and reporting tasks for construction project management." The company notes "Intelligent data management for construction projects using AI to unify site information, optimizing search and incident management times."

Industrial Group (manufacturing & field service): A multi-lingual AI solution for "field root cause resolution in minutes."

Vegetoil (biofuel operations): "Blending sustainability with operational efficiency in biofuel production."

FH Upper Austria (education): A multi-lingual voice agent to orient students across facilities and courses.

Deep Tech Lab (R&D): Automating research operations with generative AI.

Assorea (insurtech): Empowering insurance sales teams and accelerating onboarding with communication solutions.

Hublo (healthcare): Improving care coordination and response times for medical staff and EMTs.

Most case studies are named but lack detailed metrics. The Stellantis example is the strongest—a real scale indicator (30TB/month, 15M vehicles) and a recognizable multinational customer.

How they work

Zaneffi follows a standardized engagement rhythm: 2-hour executive briefing, 2–3 day operations assessment, 8–12 week production trial, and 3–6 month full deployment. The company emphasizes that most teams are "up and running within two weeks," though timelines depend on infrastructure requirements and data source integration. Deployment happens on customer infrastructure only—no SaaS, no shared tenants, no external APIs. The platform runs offline, works on any browser-enabled device (with voice search optional), and requires no application installation or specialized hardware.