Advanced AI Solutions

Intelligencebuilt aroundYour Business

From your first conversation to a working AI system. Tailored to your industry, compliant by design, ready to scale.

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What We Do

We help European companies adopt AI without losing the people who built them.

Three pillars: build the tools, stay compliant, grow your people.

Build

Custom AI agents, applications, and automations

From a single agent to a full vertical AI platform — we design, build, and ship. Production-grade systems, not pilots.

  • AI agents and automations for your existing processes (HR, ops, document review, customer support)
  • Full custom AI applications from scratch — including vertical RAG platforms for regulated and domain-specific industries
  • Flexible deployment: SaaS, private cloud, or on-premise — wherever your data is allowed to live

Compliance

GDPR & AI Act readiness — engineered, not advised

We translate European regulation into architecture, documentation, and process. So when the auditor or your DPO asks, you have answers in code, not in slides.

  • AI Act technical conformity assessment for your current and planned AI systems
  • GDPR audit of data flows, retention, and vendor exposure
  • Governance kit: DPIA templates, audit trails, vendor risk register

We work alongside your legal and DPO — we don't replace them.

Training

AI Training that grows your people

Tailored programs designed for the roles your people actually do, not generic AI theory. Built around your industry, your tools, and your team's level.

  • Custom training programs designed on your processes, tools, and team profile
  • Hands-on prompt engineering for managers and operational teams
  • Train-the-trainer: your internal L&D and HR become autonomous on AI

Ready to start? Let's talk.

Get in Touch

Right-sized AI. From Small SoC to hyperscaler.

We pick the smallest tool that solves your problem.

Edge & embedded

When a chip is enough.

Details

Custom backends

Built to your domain — not to a template.

Details

AI integration

The right model — not just the biggest one.

Details

Cloud & on-prem orchestration

Where it runs — and why that matters.

Details

Most AI agencies start with their answer — "our platform", "our partner cloud" — and bend your problem to fit it. We start with your problem.

We're full-stack: embedded firmware on microcontrollers, custom backends in Rust and Python, integration with vendor LLMs through APIs, multi-cloud orchestration on Azure, OCI, AWS, GCP. We've shipped all of it across regulated industries. So when you bring us a problem, the conversation is: what's the smallest, most maintainable system that solves it?

Sometimes that's a €60 Small SoC running a custom unikernel. Sometimes that's a multi-region cloud deployment integrating frontier models. Often it's a mix.

You get the right tool. Not the tool we want to sell you.

Solutions

Products we are building to push the boundaries of AI-driven infrastructure.

Open Core · In Development

Nexa-OS

The execution layer for autonomous AI infrastructure

How Nexa-OS works

A control plane that turns AI intent into machine lifecycle operations.

Nexa-OS
Rust Unikernel · ARM SoC
AI Agents
Operator Dashboard
REST API
mTLS Security
Reconciler Loop
PXE / iPXE
Ubuntu + k3s
NVMe Storage
AI Agents

AI agents can interact with Nexa-OS through controlled interfaces to drive infrastructure lifecycle operations.

AI systems are increasingly capable of planning and reasoning — but execution still depends on human operators or cloud APIs to act in the real world. Nexa-OS closes that gap. It allows AI agents to manage infrastructure, coordinate machine fleets, provision environments, and support operational workflows with local control and reduced dependency on external API providers.

Agora defines how AI agents coordinate. Nexa-OS defines where and how they run.

  • AI-driven infrastructure orchestration
  • Bare-metal server provisioning
  • Local control of machine fleets
  • Reduced dependency on external API providers
  • Secure execution through a minimal Rust-based architecture
  • Human and AI access through API and dashboard interfaces
RustUnikernelBare-metalAI OrchestrationOpen Core

Nexa-OS is a pure-Rust unikernel running on Raspberry Pi 5, designed as a control plane for AI-agent-driven bare-metal fleet orchestration. It boots target machines over the network using PXE/iPXE, installs Ubuntu 24.04 Server, and manages the full k3s cluster lifecycle — node join, drain, and teardown — through a declarative state model with a continuous reconciliation loop. Operators and AI agents interact through a local REST + JSON API and a built-in dashboard. All communication is secured with mTLS. No cloud dependency. No external control plane.

RustUnikernelRaspberry Pi 5PXE/iPXEk3sUbuntu 24.04mTLSREST API
Follow development on GitHub
Open Source · Free

Nexa Thinking Framework

Transparent AI experimentation lab.

LLM Laboratory

Nexa Thinking makes AI workflows visible, testable, and reproducible.

Three workspaces. One transparent pipeline. Every step inspectable.

User Prompt
streamed live
Instruments
Final Output
MarkdownJSONReport
FastAPIWebSocket streamingQdrantDuckDuckGoOpenAI-compatible (LM Studio · Ollama · vLLM)Optional Tauri desktop

Nexa Thinking Framework is an open-source workspace for testing reasoning workflows, multi-agent orchestration, and RAG pipelines.

It helps teams, engineers, researchers, and AI builders understand how AI systems produce results by making prompts, retrieved context, token usage, model settings, and agent workflows visible at every step.

Instead of treating AI as a black box, Nexa Thinking lets users inspect, compare, version, and export AI experiments.

Agora orchestrates agents.

Nexa-OS executes infrastructure.

Nexa Thinking makes AI workflows visible, testable, and reproducible.

ReactTypeScriptFastAPIQdrantOpenAI-compatibleLocal-firstOpen Source
  • Structured Chain of Thought workflows
  • Multi-agent project canvas
  • Research pipelines with web search and RAG
  • Prompt and context inspection
  • A/B comparison across configurations
  • Prompt history and versioning
  • Qdrant RAG chunk exploration
  • Markdown and JSON experiment reports
  • Local-first execution with OpenAI-compatible servers
View on GitHub

Built for Real

From regulated industries to smart infrastructure — production-grade AI, already deployed. Our customers.

Live in production

Construction & Permitting

Planning and permitting law spans multiple overlapping regulatory layers — codes at different institutional levels that can conflict, override each other, or apply only to specific territories. Navigating this manually at scale is not viable.

We built a RAG platform that lets permit consultants and construction firms ask plain-language questions and receive cited, sourced answers drawn from the exact applicable regulation — filtered by jurisdiction and ranked by legal hierarchy. Answers are auditable, traceable to source, and update as law changes.

PythonFastAPIPostgreSQLQdrantAzure

Custom DAG pipeline engine

Working in construction, real estate, or regulated permitting? → Let's talk
Live in production

Energy & Infrastructure

We helped a client operating in the oil & gas and renewables sector automate what had always been expert-only work: cost estimation and Bill of Quantity generation for large infrastructure projects.

We built an AI platform that generates BOQ documents from project descriptions and uploaded specs, grounded in structured cost databases with anti-hallucination enforcement. Engineers query it conversationally via LLM function-calling agents; the platform writes the BOQ.

PythonFastAPIPostgreSQLQdrantLLM function-calling agentsAzure
Working in energy, renewables, or infrastructure? → Let's talk
Live in production

Smart Mobility & IoT

Parking operators need real-time occupancy intelligence but traditional fixed infrastructure is expensive and slow to deploy.

We built the full software stack for a cellular IoT solution: embedded firmware in C running on a microcontroller, a custom binary telemetry protocol optimised for low-power NB-IoT/LTE-M transmission, and a cloud backend on GCP Cloud Run that ingests, decodes and serves real-time occupancy data. From device to dashboard, entirely software-defined.

CSTM32 HALNB-IoT/LTE-Mcustom binary protocolGCP Cloud RunHTTPS/TLS
Working in smart city, mobility, or IoT infrastructure? → Let's talk

Who We Are

Nexa Ethos was not born in a startup incubator. It was born after decades of working inside some of the largest technology companies in the world — watching AI reshape enterprise operations from the inside out.

We are Valentina and Max. One of us spent those years managing people through change. The other spent them building the infrastructure that made change possible. Together, we built the studio we wished had existed when we needed it.

Enterprise AIEU AI Act ComplianceAI TrainingGDPR

What We Believe

Amplify, don't replace.

AI should take repetitive work off your team, not seats. The companies we want to work with are the ones whose people come out stronger from the project, not smaller.

Compliance is a feature, not a tax.

GDPR and the AI Act aren't paperwork to survive. They're the reason European AI will be trusted globally — and the moat your company can build right now, while others still treat it as friction.

Production over pitch decks.

We measure ourselves by what runs in your environment, not by what we showed in a meeting. A pilot that never ships is a failure, no matter how good the slides looked.

The team you have is the team that wins.

We don't sell AI as a way to outsource your thinking. We build tools and training so that your people understand the systems they use — and own them after we leave.