Artificial intelligence with scientific rigor
We help large enterprises turn data into reliable decisions and products — choosing the right approach for each problem, from machine learning to generative AI.
Why ARTIFATO AI
We find where AI makes money
Before any technology, we identify where the company loses time, money, customers or efficiency. The focus is uncovering real opportunities for gains, cost reduction and revenue growth.
We prioritize the highest return
We turn the diagnosis into an objective plan, separating what's urgent, what's strategic and what has the greatest return on investment. The company doesn't invest in AI as a trend, but for measurable impact.
We implement solutions that scale
We build dashboards, automations, AI assistants, predictive models and intelligent workflows that improve decisions, reduce operational dependency and let the company grow without raising costs at the same pace.
We reduce risk and increase valuation
We make sure solutions are reliable, auditable and responsible. That makes the company more efficient, more predictable, readier to scale — and therefore more valuable to investors, partners and the market.
Services
From custom consulting to enabling your team.
Consulting & custom projects
- Data & AI Readiness Audit — diagnosis and prioritized roadmap
- Predictive machine learning — churn, risk, demand, anomalies
- Decision dashboards and analytics
- RAG and knowledge assistants in production
- Agents and multi-agent workflows
- Model evaluation and reliability (ML and generative AI)
- Responsible AI: bias and governance
Training & education
- Executive workshops: "Data and AI for leaders"
- Technical bootcamps: data science, ML and generative AI
- Ongoing in-company programs
Data & AI Readiness Audit
In 2–4 weeks, an X-ray of your company's data and AI potential — before you invest in any technology.
- Map of use cases with real ROI potential
- Assessment of data maturity and risks
- Roadmap prioritized by impact and feasibility
- An honest recommendation of the right approach for each case — classic ML, dashboards or generative AI
Executive workshop: Data and AI for leaders
Half a day with your leadership to align what AI can (and cannot) do for the business — and leave with clear decision criteria. Also a low-risk entry point.
How we work
Diagnosis
We map use cases with real ROI, data maturity and risks — and recommend the right approach for each.
Evaluated solution
We build the solution in production with continuous evaluation, metrics and observability — proof that it works.
Enabled team
We train your team to operate and evolve the solution autonomously.
Francielle Marques
"A scientist who builds. An engineer who proves. A teacher who transfers."
A real expert behind every project
PhD (Sobresaliente cum laude) with a thesis on bias and reliability in AI, and an MSc in Computer Science. Hands-on experience in generative AI (RAG, agents, model evaluation) and in classic machine learning and data science. Three years as a university lecturer. Trilingual, based in Barcelona, working globally.
What we're often asked
We tried AI and it never left the pilot stage. What do you do differently?
The bottleneck is rarely the prototype — it's reliability. We deliver continuous evaluation, metrics and observability along with the solution, so it reaches production and keeps working. Proof, not promise.
Do we really need generative AI?
Not always. Many problems are solved better — and cheaper — with classic machine learning, statistics or a good dashboard. Our commitment is to the outcome: we recommend the right approach for each case, even when it's the simplest one.
How long does a project take?
The Data & AI Readiness Audit takes 2 to 4 weeks. Implementation projects range from 4 to 16 weeks depending on scope — always with deliverables defined before we start.
How does 100% remote work?
We work in Portuguese, English and Spanish, with clear rituals: weekly updates, demos and documentation. Remote delivery cuts cost and works across any timezone.
How is the investment defined?
Fixed scope, not open-ended hours: you know the price and deliverables before we start. The first conversation is free.
Let's turn your data into reliable decisions?
Tell me about your challenge. I'll reply personally.
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