Data · Cloud · AI for regulated industries
Data. Analytics. AI.
We Make It Happen.
STELLAR AI Lab is a technology company born at the intersection of data, cloud, and artificial intelligence. We help fintech, banking and logistics companies unlock the full value of their data through intelligent, scalable and secure solutions.
We build, deploy and manage custom platforms on the modern data stack for businesses across the Americas, Europe and Asia.
Industries we serve
Deep experience where data is regulated, high-volume and mission critical.
Fintech
Fraud, credit risk and real-time decisions
Digital lenders and payment companies need to decide in milliseconds with data that arrives from dozens of sources, while regulators ask for explainability.
Learn moreBanking
Regulated data, governance and AI you can audit
Banks sit on decades of data locked in core systems, with strict rules on residency, lineage and model risk. Modernizing without breaking compliance is the challenge.
Learn moreLogistics
Forecasting, routing and visibility across the chain
Fleet telemetry, WMS, TMS and marketplace orders live in different systems. Without a unified data layer, planning stays reactive and margins leak.
Learn more
How we work
A clear path from raw data to decisions in production.
- 01
Discovery
We map your data sources, regulatory constraints and the business decisions that matter most.
- 02
Architecture
A target platform design on the modern data stack, with security and governance built in.
- 03
Build
Iterative delivery of pipelines, models and applications, with your team involved from day one.
- 04
Operate
Managed services, monitoring and continuous improvement so the platform keeps paying off.
Case studies
What we built, and what it changed.
Digital lender, LATAM · Fintech
Real-time fraud detection for a digital lender
A streaming feature store and an explainable scoring model replaced a rules engine that blocked too many good customers.
-38%
fraud losses (example figure)
-62%
manual reviews (example figure)
Regional bank · Banking
Governed cloud data platform for a regional bank
Migration from an on-premise warehouse to Google Cloud with lineage, access controls and audit trails accepted by the internal audit team.
11h → 40min
daily load time (example figure)
100%
lineage coverage on regulatory reports
Last-mile operator · Logistics
Demand forecasting and ETA prediction for a last-mile operator
Unified order, fleet and weather data feed forecasting and ETA models used by planners and customers every day.
+14%
on-time deliveries (example figure)
-9%
kilometers per delivery (example figure)
Products
Ready-to-deploy platforms that shorten time to value.
Stellar Data Platform
A governed modern data stack, deployed in weeks
Opinionated reference architecture with ingestion, transformation, governance and observability preconfigured for regulated companies.
Learn moreStellar Risk AI
Explainable fraud and credit decisioning
Real-time scoring service with a feature store, model monitoring and explanations for every decision.
Learn moreStellar Control Tower
Forecasting and visibility for supply chain operations
Demand forecasting, ETA prediction and a near-real-time operations view on top of your WMS, TMS and fleet data.
Learn more
Trusted by
Top Companies
Our Partners
We partner with the best technologies to provide the best services.
Fivetran
Integrations to have your company connected
Snowflake
Cloud Data Warehouse for AI and scalability
dbt
Automation of data transformation processes
Google Cloud
Cloud platform for scalability and flexibility
Sigma
Data visualization powered by AI
Nullafi
Data security with real-time filtering and obfuscation
Certifications and practices
- Snowflake partner
- Google Cloud partner
- Fivetran & dbt practice
- Regulatory alignment
- Model risk documentation
- Security by design
- Data stays in your cloud
Insights
View all
August 18, 2026 · 6 min read
Explainable AI in banking: what regulators actually ask for
Model risk teams do not need a lecture on SHAP values. They need reason codes, stable documentation and monitoring that proves the model still behaves as validated.
Read more
July 2, 2026 · 5 min read
Before the AI roadmap: data contracts
Most failed AI initiatives we have seen died upstream, in a schema change nobody announced. Data contracts are the cheapest insurance you can buy.
Read more
May 20, 2026 · 5 min read
Demand forecasting for last-mile logistics: three lessons
Forecast accuracy is not the goal. Better capacity decisions are. Here is what changed the outcome in our logistics engagements.
Read more
Ready to put your data to work?
Tell us about your challenge. We will come back with a concrete first step within two business days.
Get in touch