Belgian AI Specialist

The decisions your
experts spend hours on.
Handled by AI.

Nemo Labs builds AI reasoning systems for Belgian companies — systems that don't just retrieve data, but think through it: weighing evidence, applying domain rules, and producing judgements your team can trust and audit.

The same level of reasoning used by
— built for Belgian scale.

Every engagement is
tailored to your situation.

No fixed packages. You choose how involved Nemo Labs is — from sitting alongside your team to owning the full solution end-to-end. Mix and match as your needs evolve.

🤝 Assistance

We work alongside your team

You have engineers, analysts or domain experts — we embed as AI reasoning specialists. We design the architecture, review your prompts, validate outputs and transfer knowledge so your team grows in capability.

  • AI architecture & reasoning design
  • Prompt engineering & evaluation
  • Output validation frameworks
  • Team knowledge transfer
  • Ongoing advisory retainer
🎯 One-stop Project

We own it from problem to production

You bring the problem. We handle everything: discovery with your domain experts, system design, build, testing against real cases, deployment and handover. Fixed scope, clear milestones, no AI knowledge required on your side.

  • Discovery & problem scoping
  • Domain expert interviews
  • Full system design & build
  • Validation against real cases
  • Deployment & handover
☁️ Hosted Service

We build it and run it for you

We deploy and operate your AI reasoning system on Nemo Labs infrastructure. You call an API or use our interface. No cloud contracts, no model maintenance, no infrastructure overhead — just results.

  • EU-based, GDPR-compliant infrastructure
  • 99.9% uptime SLA
  • Model updates & monitoring included
  • Usage-based pricing
  • No vendor lock-in

This isn't theoretical.
It's already happening.

Global companies are deploying AI reasoning systems to handle decisions that previously required hours of expert time. These are the reference points. Nemo Labs brings the same capability to Belgian companies.

Finance — AML FIS + Anthropic, May 2026

Anti-money laundering investigations compressed from days to minutes

An AML investigator receives an alert. They must gather transaction records, cross-reference counterparties, evaluate against known laundering typologies, and write a Suspicious Activity Report — a process spanning multiple systems and taking hours per case.
The AI agent assembles the full evidence package across the bank's core systems, evaluates patterns against typologies, and produces a structured SAR narrative. BMO and Amalgamated Bank are deploying this now.
Finance — Credit Analysis Kepler Finance, 2025

Complex capital structure analysis with verifiable, auditable reasoning

A financial analyst needs to calculate enterprise value across a capital structure involving preferred shares, convertibles, warrants and minority interests — then reconcile segment revenues across reporting period changes. Dense filings, zero tolerance for error.
The AI reads filings in plain English, executes deterministic calculations through a verified layer, and returns answers with a full reasoning trace. Every figure is traceable to its source.
Manufacturing — Supply Chain BASF + Google Cloud, 2026

Supply chain reasoning across 180 production sites — where deterministic models failed

BASF's agricultural supply chain spans 180 sites with 2-year production cycles. Local decisions cascade globally. Traditional deterministic models repeatedly failed to capture the complexity. Planners were flying blind.
AlphaEvolve discovered human-readable rules that explain how the network actually operates — including the tacit human decisions embedded in daily operations. Now used for scenario forecasting and inventory optimisation across the entire network.
Finance — Decision Support Bosch + GoML, 2025

Strategic financial scenario modelling in natural language, 60% faster

Bosch's leadership needed to model financial impact of price changes, cost shifts and market scenarios — but analysts had to manually pull data from multiple systems, run calculations and reformat for decision-makers. By the time the answer arrived, the context had changed.
A conversational AI copilot integrates all data sources and runs "what-if" scenarios in real time. 60% improvement in decision-making efficiency. 35% more scenario-based insights available to leadership.
Legal — Belgium Wolters Kluwer Libra, Feb 2026

AI-native legal reasoning with authoritative Belgian legal content

A legal team reviews contracts and regulatory filings daily. Each document requires cross-referencing Belgian legislation, jurisprudence and expert commentary — spread across dozens of separate sources and databases.
Libra's AI workspace launched in Belgium in February 2026, combining reasoning with curated Belgian legal content. Contract review, clause analysis and regulatory research handled in a single environment, with source citations at every step.
Healthcare — Diagnostics DxDirector, Nature Comms, Apr 2026

Full-process clinical diagnosis driven by AI reasoning — not just a second opinion

Clinical diagnosis begins with ambiguous patient complaints and requires iterative reasoning: ordering tests, synthesising results, ruling out differentials, and arriving at a hypothesis — a process spanning hours and multiple specialists.
DxDirector autonomously drives the full diagnostic workflow, requesting physician input only for necessary clinical operations. In pulmonology and gastroenterology, it substitutes for a medical specialist in 60–75% of cases, while maintaining a full accountability trace.

From problem to production.
Weeks, not quarters.

We follow a tight, evidence-driven process. Every engagement starts with one high-value reasoning problem — we prove it works before expanding.

1

Identify the right problem

We run a structured discovery with your domain experts to find the reasoning bottleneck with the highest business impact — where expert time is being spent on decisions that should be systematisable.

2

Map the reasoning chain

We document how your experts actually reason through the problem — the rules, edge cases, evidence sources and judgement calls. This becomes the blueprint for the AI system.

3

Build & validate against real cases

We build the reasoning system and test it against real cases from your domain — not benchmarks. Your domain experts validate every output until accuracy meets the bar.

4

Deploy & iterate

We deploy via API or directly into your existing tools. We monitor outputs, handle model updates and run feedback loops. You get a system that improves over time.

🇪🇺

Built for EU AI Act compliance from day one

High-risk AI systems in finance, insurance and healthcare will be fully regulated under the EU AI Act by August 2026. Every reasoning system we build includes explainability, human oversight mechanisms, data governance documentation and audit trails — the requirements aren't an afterthought, they're part of the architecture.

We do one thing.
We do it very well.

Reasoning, not retrieval

We don't build chatbots or search tools. We build systems that weigh evidence, apply domain rules and produce structured judgements — the same cognitive work your experts do, at scale.

Every output is explainable

Every decision comes with a reasoning trace. Not "the model says so" — but a step-by-step account of why the system reached its conclusion, traceable to the source evidence.

Belgian, by design

We're based in Belgium. We understand bilingual operations, local regulatory context (FSMA, BIPT, NBB) and the Belgian business culture that values directness and results over pitch decks.

Your data never leaves your environment

Strict data governance is non-negotiable. Your business data is never used to train shared models. We deploy in your infrastructure or our dedicated hosted environment — your choice.

Proven at the largest scale

The reasoning architectures we use are the same ones deployed by FIS, BASF, PwC and Freshfields. We bring that capability to Belgian companies without the enterprise price tag.

Outcome-based engagement

We align fees with delivery milestones — not hourly rates. If the system doesn't reach the accuracy bar your domain experts set, we keep working until it does.

Tell us about your
reasoning problem.

Every engagement starts with a 30-minute discovery call. No sales deck, no pitch — just a direct conversation about the problem you're trying to solve and whether we can help.

📍
Belgium Serving Belgian companies across all regions and languages.
⏱️
Response within 1 business day We read every message ourselves.
🔒
Everything is confidential We treat your problem description as commercially sensitive from the first message.