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Automation & AI for SMEs

AI-Powered Business Management Automation

Nuelltech transforms scattered data and manual processes of SMEs into automated workflows. Save 12 to 15 hours of manual work per week and protect your profit margins with Artificial Intelligence applied to your business.

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Operational Waste

The invisible pain points eroding SME margins

Replace mechanical tasks and blind processes with integrated workflows that work for you 24/7.

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Leak 01 · Manual Processes

Manual errors in invoice entry, profit margins silently degrading due to undetected price increases, and stockouts or losses due to lack of timely alerts.

Impact: Margin & Time
Leak 02 · No Reconciliation

Crucial business decisions continue to be made without cross-referencing independent data sources, resulting in wasted time and resources on repetitive administrative tasks.

Impact: Blind Decision
Leak 03 · Repetitive Labor

Qualified professionals spend hours daily on mechanical "copy-paste" tasks transferring data between emails, Excel spreadsheets, and legacy ERP systems.

Impact: Productivity
Leak 04 · Blind Inventory

Lack of predictive alerts to manage inventory in real-time, resulting in cash capital tied up in excess inventory or supply stockouts of popular items.

Impact: Tied Capital
Interactive Proof of Value

Interactive Proofs of Value

We created these simulations to demonstrate in practice our ability to extract value from data and automate processes. Choose a scenario below to test the accuracy, integration, and operational results that our engineering can bring to your business.

Technology Context · Computer Vision

How does automated invoice data extraction and AI auditing work?

Nuelltech's invoice extraction leverages advanced computer vision and natural language models to automatically capture and audit all fields from any document (Supplier, VAT, line items, quantities, and prices) in seconds. The engine cross-references billed rates against pre-agreed contract catalogs and signed delivery notes, isolating discrepancies on the fly.The same engine that reads a restaurant invoice can read medical supply invoices, gym membership renewals, or pharmacy restocking slips — the process is identical, only the input document changes.

99.7% Extraction Accuracy
Automated Slip & Catalog Matching
This is the same core engineering powering RCM
Simulator Scenarios
Fatura Virtual PDFMacroFrutas Lda
Nº Fatura: FT/2026/0842Date: 03-07-2026
ItemQtdPriceTotal
Maçã de Alcobaça Especial1015.50155.00
Laranja Doce do Algarve252.1052.50
Banana Importada Premium151.8027.00
IBAN: PT50 0033 0000 1234 5678 9012 3
TOTAL:234.50
TERMINAL LOG
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Success Methodology

The Pathway to Efficiency

A streamlined journey from conceptual diagnosis of bottlenecks to full-scale automated operation.

01

Consult

We analyze your existing workflows and identify high-leverage bottlenecks that AI can automate immediately.

02

Sandbox

We build a localized, interactive sandbox module to demonstrate real-world ROI and accuracy with your sector data.

03

Deploy

Seamless integration into your production environment with continuous monitoring and optimization.

SaaS Solutions

SaaS Solutions Designed to Protect Your Business

Restaurant
Applied in: Food & Beverage / Restaurants

RCM · Restaurant Cost Management

Reads supplier invoices via OCR, updates recipe costs in real-time, and alerts when margins drop. Suggests correct selling prices and generates automatic shopping lists.

View RCM Details
Financial
Applied in: Food & Beverage / Restaurants

Auditor Pro

Simulates financial scenarios (increase in structural costs or raw materials, marketing impact) from your real revenue, without requiring complex technical sheets.

View Auditor Pro Simulator
Closed Beta
Applied in: Commercial Teams (Multi-sector)

Voice Sales Simulator

Behavioral sales training by voice with AI. Handles objections, interruptions, and simulates realistic client profiles (automotive, real estate, pharma) with detailed performance grading.

Request Beta Access
Dedicated Engineering

When the problem is specific, we build the solution to measure

We develop dedicated engineering to connect systems, automate flows, and create exclusive tools.

Sector: Health / Pharmacies

BI Pharma (Case Study)

Automatic reconciliation of databases (inventory vs. historical sales) developed for pharmacies, predicting losses and automating seasonal campaigns.

View Case Study
Sector: Food Distribution

Logistics Platform (Case Study)

Multi-user cloud platform for delivery management developed for food distribution, replacing manual spreadsheets with workflows featuring dedicated access levels.

View Case Study
Our Journey

From Performance Marketing to AI Automation

Nuno RogérioFounder of Nuelltech

Nuelltech was built on a strong foundation of performance digital marketing and web engineering. Prior to that, its founder spent over 12 years implementing complex Oracle Retail systems at global chains like Tesco, Morrisons, Sonae, and Ahold. Today, the company applies that same large-scale software engineering discipline to AI and process automation.

Nuelltech began applying this efficiency engine within the restaurant industry and digital campaigns. Today, the company's infrastructure connects front-office marketing and client acquisition to back-office systems (ERP, stock, and OCR invoice processing), fully validated for any SME or multi-unit operation.

Professional Experience Implemented at
TESCOMORRISONSSONAEAHOLD
Demystifying AI

Questions every business asks us

No sales pitch. These are the real questions we hear before any business moves forward — and the direct answers.

No. ChatGPT (or any generic LLM) knows nothing about your business — it doesn't know your prices, your stock, your clients, or your internal rules. What we build is a system that knows your business specifically: your data, processes, and boundaries of what it can and cannot say. Generative AI is just one part of the engine — the value lies in everything that surrounds it and makes it reliable for your context.
This is a legitimate concern and one of the reasons many AI implementations fail — they are "black boxes" that no one in the company understands or controls. We work the other way around: we explain what each part does, deliver clear documentation, and the system is bounded by rules and limits that the business owner understands and can adjust. We do not sell incomprehensible magic.
That is not the goal, nor is it what usually works well. Successful implementations remove repetitive and mechanical tasks (answering the same questions, calculating margins, organizing reservations) to free up team time for what only a human can do — customer service, building relationships, and critical decisions. The ones that fail are typically those that attempt to replace human judgment entirely.
It depends on the complexity of the solution, but we are direct: there is no such thing as "plug and play, and saving money the next day." There is always an adjustment period — testing, refining, and adapting to the real daily routine of the business. We prefer to say this upfront rather than promising immediate results that are not met.
That is why we do not leave the AI "unleashed." We predefine what the system can and cannot answer based on real rules and data from your business — not model assumptions. When a question falls outside those limits, the system knows to say "I don't know" or hand it over to a human, rather than fabricating an answer.
We always work with the goal of keeping your data isolated and protected, with no sharing between different clients, and we clearly explain where and how the information is stored before any implementation begins. If you have specific requirements (e.g. GDPR, regulated sector), we address that as part of the solution design, not as an afterthought.
This is one of the most common situations — and it is usually not a technology problem itself; it is one of three issues: the baseline data was disorganized, the process chosen for automation did not work well manually, or the team was never truly engaged in the adoption. We always start by understanding which of these three is the case before proposing any solution — otherwise, we would just be repeating the mistake with a different tool.

If your question is not here, it is probably the most important question of all.

Talk to Us
FAQ

Frequently Asked Questions

Have questions about applying automation to your specific business model? Speak directly with our intelligent assistant NUELL in the bottom-right corner or book a diagnostic.

Does Nuelltech only work with restaurants?

No. While we have specific SaaS products for restaurants (like RCM and Auditor Pro), our data engineering, invoice OCR, and AI assistants apply to any sector (gyms, pharmacies, clinics, distribution, and retail). The core engine is the same; only the document or database changes.

How long does implementation take?

Our ready-to-use SaaS products can be configured in a few days. For custom engineering projects, the average development and implementation time ranges from 3 to 6 weeks, depending on integration complexity.

Do you do custom projects or only sell ready-made products?

We do both. If your processes don't fit our standard solutions, we create integrations, dashboards, and custom workflows tailored to your operational needs.

How much does implementation cost?

Investment varies based on technical complexity and data volume. For this reason, we always start with a free initial diagnosis, analyzing your current process and presenting a proposal with a clear return on investment (ROI).

Do you work with companies outside Portugal?

Yes. We design solutions with a native multi-language architecture and work remotely with businesses in any geographic market, with a special focus on the European Union.

Don't sell your time to repetitive tasks

Discover how Artificial Intelligence and Automation can protect your profit margins, optimize your stock, and scale your operation.

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