Florentis develops secure, enterprise-grade AI architectures, automations, and zero-touch data pipelines for logistics, legal, consulting, healthcare, insurance companies, and environmental organizations.
The Concept: Turning isolated, unstructured data silos into active, searchable intelligence.
The Concept: Replacing disjointed dashboards with AI agents capable of executing multi-platform tasks.
The Concept: High-velocity, invisible infrastructure eliminating manual data entry bottlenecks.
The Concept: Custom, mobile-first software where Large Language Models act as the core interactive engine.
The Concept: AI requires perfect data. We structure the foundation before deploying the logic.
The Concept: Bridging physical-world sensors with real-time digital analytics.
How we work
Four phases. Each one closes with a tangible artifact: a brief, a diagram, a working system, or an operations runbook.
A focused review of your data topology, regulatory constraints, and operational bottlenecks, delivered as a written architecture brief.
We design the system end-to-end: model selection, vector layer, orchestration, and the hosting posture that fits your compliance profile.
Implementation by a senior engineering team. Agents, pipelines, and interfaces wired into your existing stack with full code ownership.
Versioned releases, observability, and model evaluation. We hand over a system your internal team can extend, not a black box.
We work with companies that have data, processes, and existing systems — and want to turn them into efficient, measurable, and easier-to-operate technology tools.
Dispatch copilots that speak natural language to fleet routing software, auto-notify clients on freight events, and orchestrate multi-carrier operations without manual handoffs.
Employee onboarding systems, automated account provisioning, document management, interview summarization, reminders, and workflows that take the load off your HR team.
Automated due diligence across large data rooms, contract review pipelines, and compliance flagging against specific legal frameworks with full citation traceability.
Internal knowledge engines over proposals, decks, and engagement archives. AI-enriched outbound research and generative reporting on top of client data rooms.
Air-gapped, sovereign deployments that keep clinical knowledge and patient data fully offline, with PII anonymization built into every ingestion pipeline.
Claims triage agents, vision-based extraction from forms and billing documents, and structured routing of risk signals to underwriting and fraud teams.
Document, contract, permit, and timeline management. Automations for coordinating between contractors, suppliers, and clients, with real-time status tracking.
Personalized learning platforms, content summarization, training material generation, student progress tracking, and tools that streamline instructor workflows.
Any business built on data, documents, manual processes, or disconnected systems can automate a significant portion of its operations into a streamlined, intelligent workflow.
Schedule a technical architecture review. We will identify systemic data bottlenecks and provide a clear blueprint for intelligent automation.