At Crombie, we design AI infrastructures and automated pipelines that integrate critical data from multiple sources. Our data engineering approach combines ETL/ELT, data governance, and MLOps to ensure your AI models are stable, traceable, and production-ready from day one.
The Challenges We Tackle at Crombie
Scattered, outdated, or poor-quality data
Time- and resource-consuming manual reporting processes
Difficulty extracting actionable insights from core systems
Lack of internal capabilities to train and deploy ML models
AI investments with no operational impact
Software Solutions Aligned with Your Industry
Data Lakes and ETL/ELT Pipelines
We build scalable architectures to centralize, organize, and process data from multiple sources in real time. We automate ingestion, cleaning, and preparation to enable advanced analytics and full traceability.
Predictive and Prescriptive Models
We develop Machine Learning and optimization algorithms that anticipate business scenarios, detect anomalies, and recommend specific actions for each area. Models are production-ready, measurable, and aligned with critical KPIs.
Interactive Dashboards and BI
We design customizable visual dashboards that turn complex data into actionable insights. They enable real-time monitoring, exploration of key metrics, and collaborative decision-making throughout your organization.
Generative AI and Internal Assistants
We implement Generative AI solutions that automate report writing, summaries, and queries. We deploy internal assistants that enhance productivity and provide secure, conversational access to operational intelligence.
Data Engineering and AI Infrastructure Use Cases
Real-Time Fraud Detection for Fintech
We deploy pipelines and ML models to identify suspicious behaviors, minimizing losses and ensuring compliance instantly.
Demand Forecasting in Retail and Logistics
We develop predictive models that anticipate demand fluctuations, optimize inventory, and reduce stockouts.
Advanced Customer Segmentation
We create behavior-based user clusters to personalize campaigns and maximize conversions.
Regulatory Reporting Automation
We design dashboards and scripts that generate auditable reports in record time, reducing operational load in critical areas.
Real-Time Compliance Automation
We deployed a pipeline integrating banking operations data sources to automatically generate regulatory reports, adapting dynamically to rule changes without manual intervention.
Omnichannel Demand Prediction Engine
We implemented multi-source forecasting models for a regional retailer, combining sales, inventory, and web behavior streams to anticipate peaks and adjust campaigns and logistics in real time.
Generative AI Assistant for Users
We built a copilot that turns natural language questions into advanced queries, explores dashboards, and generates executive summaries automatically — enabling any team to access insights without technical expertise.
Visual Data Lineage for Multi-Cloud Environments
We developed a solution that maps data flows across systems, processes, and clouds in real time. It simplifies audits, pinpoints bottlenecks, and strengthens governance in distributed ecosystems.
Benefits of Data Engineering and AI Infrastructure
Clean, Real-Time Data
We unify and optimize your sources so every team has access to accurate, up-to-date information without delays.
Decisions Based on Predictive Analytics
From historical reporting to actionable insights that anticipate behaviors and trends.
Production-Ready, Measurable Models
We deliver useful algorithms from day one, automating tasks and personalizing experiences without depending on mega-projects.
Immediate Value without Disruptions
Tangible results in weeks, with no need to wait for lengthy BI deployments.
Governance and Scalability
We set up processes and architectures that grow with you and comply with privacy and security standards.
Training and Knowledge Transfer
We train your teams to operate and continually improve the implemented solutions autonomously.
Our Differentiators
Iterative and Pragmatic Approach
We deliver tangible results with quick pilots before major investments.
Frictionless Generative AI Integration
We embed GenAI into your processes and workflows without disrupting current operations.
Ready-to-Go Assets to Accelerate Delivery
We bring pre-built models, dashboards, and pipelines tailored to your industry.
Full expertise in data and productive ML
We master both infrastructure and the design and implementation of effective models.
Experience in Regulated Environments
We know how to handle sensitive data and meet strict regulations.
Hyperscalers and Technologies that Drive our Service
Amazon SageMaker
Secure and efficient ML model training and deployment.
Bedrock
Build applications with production-ready generative models.
Forecast, Redshift, Glue
Optimized storage, ETL, and predictions.
Vertex AI
End-to-end ML model lifecycle management.
BigQuery & Dataplex
Real-time, large-scale unified insights.
Looker
Collaborative dashboards for fast, visual decisions.
Flexible and Scalable Hiring Models
Capacity-Based
Fixed Price
Fixed Price per Sprint
Time and MaterialsClients Who Trust Crombie
Discover how our team drives results and optimizes operations for companies across diverse industries.
All works
Frequently Asked Questions About Data Engineering and AI Infrastructure
What does an AI infrastructure look like?What level of maturity does my company need to adopt this service?How do you ensure data security throughout the process?