Atrium Intelia: Intelligent Systems in Business and Finance

About

From uncertainty to profitable decisions with quantitative systems

Vision

To lead the modernization of company and financial-market infrastructure through intelligent systems that elevate decision quality and generate sustainable value.

Mission

Design and implement quantitative systems for companies and financial markets, integrating mathematical modeling, data science, and software engineering to turn uncertainty into profitable and measurable decisions

Our lines

AMI Lines

AMI Build

Software & AI Engineering

Engineering that ships: from data to production.

Custom Software (APIs, apps, microservices)
Data Engineering (ELT, warehouses, quality)
ML & Analytics (demand, churn, pricing, NLP/CV)
MLOps (feature stores, CI/CD, monitoring)
Automation & BI (RPA, dashboards)

AMI Quant

Financial Engineering & Capital Analytics

From models to money decisions.

Risk & Credit (scoring PyME, early-warning)
ESG Scoring & reporting
Factoring/Working-capital analytics & pricing
Portfolio Optimization (BL, factors) & backtests
Commodities (elasticities, SVAR/VECM, scenarios)

AMI Labs

Research-to-Impact

From papers to production.

Literature Sprints (2–4 weeks)
Reproducible prototypes
Tech Transfer → hardening & MLOps
Executive workshops & applied whitepapers

What we do

Services

AMI Build: Product & Apps

Custom software and automation to deliver user-facing value.

Web apps, APIs, internal tools (microservices/serverless)
Process automation & integrations (ERP/CRM, APIs, bots)
Dashboards & BI (executive KPIs, semantic models)
CI/CD & engineering best practices

AMI Build: Data, ML & MLOps Platform

Data pipelines, models and reliable operations in production.

Data Engineering (ELT, lakes/warehouses, Airflow/dbt, data quality)
Analytics & ML (demand, churn, pricing, NLP/CV, time series)
MLOps & Observability (versioning, feature stores, monitoring)
Cloud deployments (AWS/GCP/Azure)

AMI Quant: Market Modelling & Analytics

Quantitative modelling for risk, portfolios and pricing in financial markets.

Credit & risk quant models (SME scoring, early-warning, limits, PD/LGD/EAD)
Working-capital analytics (origination, pricing, rotation, concentration, stress)
Portfolio optimization (Black-Litterman, factor models, auditable backtests)
Commodities modelling (elasticities, SVAR/VECM, supply-demand scenarios, hedging)

AMI provides quantitative research & development; financing and investment decisions are made by the client or its regulated partners.

AMI Labs: Research-to-Impact

From papers to production with reproducible prototypes.

Literature Sprints (2–4 weeks): maps + actionable hypotheses
Reproducible prototypes (notebooks/containers on your data)
Tech transfer → hardening, MLOps and monitoring
Executive workshops & applied whitepapers

Ready to turn research & AI into results?

Let’s identify quick wins and a scalable roadmap across Build, Finance, and Labs.

Get in touch

Let’s talk

Contact

Tell us briefly about your challenge and we’ll schedule a conversation.

Email: gcampos@atriumintelia.com

LinkedIn: /company/atriumintelia

Response time: 24–48h.

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