Automation · Data Engineering · Software
We start with how your business actually works, then build the automation, software, and data platforms that fit it, so the repetitive, manual work runs on its own and your team gets back to what matters.
Operating stack
OpenAI · Anthropic Claude · Google Gemini · Azure AI
Databricks · PySpark · Delta Lake · PostgreSQL · Power BI
Python · FastAPI · n8n · RAG · Git
Azure · SAP EWM · CRM · ERP · APIs
What we do
We work across leading AI platforms and technologies (OpenAI, Anthropic Claude, Google Gemini, Azure AI, n8n, Python, APIs, databases, and cloud services) and choose the right stack for the problem instead of forcing every project into one tool.
The result is automation that is reliable, secure, and measurable, not a demo that breaks the moment it meets a real process.
Where we usually start
We look for the work that's manual, slow, error-prone, or scattered across systems, then turn it into something dependable that runs on its own. Recognise any of these?
Information copied between email, spreadsheets, CRMs, and internal tools by hand.
Approvals, follow-ups, reporting, and routing that consume hours every week.
Tools that don't talk to each other, forcing people to be the integration layer.
Invoices, orders, and forms processed one at a time with no structured output.
Knowledge locked in documents that nobody has time to search.
Services
Take the one that fixes your most painful process, or combine them into something end-to-end. Either way, we start from your workflow, not a tool.
AI AGENTS
Your team keeps answering the same questions, and the answers are buried in documents nobody has time to search.
Support agents, internal knowledge assistants, lead qualification, and document Q&A.
Faster response times and fewer repetitive questions reaching your team.
WORKFLOW
Handoffs, approvals, and follow-ups live in inboxes and spreadsheets.
Routing, CRM updates, scheduling, reporting, and notification flows.
Hours recovered every week and fewer dropped handoffs.
WEB EXPERIENCE
A generic template site doesn't build trust or show what you can really do.
Immersive, animated sites and web apps in Next.js: motion, 3D, and interaction that stay fast.
A site that feels like a product and proves capability the moment it loads.
INTEGRATIONS
People become the integration layer between CRM, ERP, and databases.
Reliable connectors with retries, idempotency, and observability.
A single connected flow instead of copy-paste between tools.
CUSTOM
Off-the-shelf tools don't quite match how your process actually runs.
Python services, FastAPI backends, dashboards, and AI-enabled internal tools.
Software shaped to your process, not the other way around.
DOCUMENTS
Invoices, orders, and forms are processed one at a time.
Ingestion, extraction, validation, classification, and analytics-ready datasets.
Documents processed at scale with fewer manual errors.
CLOUD
Your analytics sit on fragile, manual data foundations.
Azure-oriented lakehouses, Bronze/Silver/Gold pipelines, secure intake, BI automation.
A scalable, secure base for analytics and AI.
Interactive AI demos
Live, in-browser demonstrations of the automation systems we build. Each runs on safe sample data so you can see the behavior, not just read about it.
Ask questions and watch the agent retrieve answers from a knowledge base, cite its sources, gauge urgency and sentiment, summarize a ticket, and escalate to a human when it should.
Run the demo →Demo 02Paste a raw inquiry. The agent identifies the company, classifies the need, scores fit and urgency, and produces a structured, CRM-ready record with a recommended next action.
Run the demo →Demo 03Select a sample invoice and watch ingestion, field extraction, validation, anomaly detection, classification, and routing to an approval workflow, with database-ready output.
Run the demo →Selected work
Projects built on production data engineering, analytics, and automation experience.
Data Engineering · Machine Learning · Financial Modeling
A financial decision-support system that evaluates whether a short-term rental property in Portugal is a viable investment. It ingests multi-platform listing data (Airbnb, Booking, Vrbo), models occupancy and nightly price, and simulates revenue, cash flow, and mortgage payback across regions.
Inspect the pipeline →
AI · Revenue Intelligence · Automation
An interactive revenue-operations product on a synthetic-but-coherent commercial dataset: it scores opportunities with an interpretable model, forecasts weighted pipeline, retrieves grounded account intelligence locally, and recommends next-best actions traceable to the data. It runs live on this page.
Data Engineering · Operational AI · Anomaly Detection
An operational control tower over a synthetic warehouse-and-transport event stream. It detects exceptions (late shipments, picking delays, SLA-breach risk, stockouts), scores delivery-delay risk, and ranks what needs attention now with a transparent priority score. It runs live on this page.
How we work
No black boxes. Every engagement follows a structured, measurable sequence.
We map the process, the systems involved, and where time and errors accumulate.
We design the automation and choose the right AI and integration stack for it.
We engineer, integrate, and secure the solution against your real data and tools.
We ship to production with monitoring, then measure the time and cost recovered.
The company
Behind MCC is Mário Carlos Chaves, an AI engineer and data engineer with hands-on experience building Azure data platforms, lakehouse architectures, automated pipelines, BI systems, and predictive models.
Founder-led means strategy, engineering, and delivery stay in the same hands, close to your data and to how the work actually runs.
Start a project
Pick the closest match. We'll take it into the project questionnaire.
