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Service · 03

Intelligent data, smarter decisions.

Our team empowers businesses with intelligent data and AI solutions — unlocking insights, automation, and smarter decision-making across the full lifecycle from architecture to analytics.

5 practice areas 8 core tools Toronto, ON
What we deliver

Capabilities engineered end-to-end.

01

Data Architecture & Strategy

  • Lakehouse strategy & architecture (Databricks, Snowflake)
  • Data lake & data warehouse design
02

Machine Learning & Predictive Modeling

  • Classical & deep learning model development
  • Feature engineering frameworks
  • Experiment tracking & lifecycle with MLflow
  • Deployment via SageMaker, Vertex AI, Azure ML
  • Monitoring, drift detection & optimization
03

Data Engineering & Pipeline Automation

  • ETL/ELT pipelines (Airflow, dbt, Kafka, Spark)
  • Real-time streaming & event-driven architectures
  • Batch & streaming ingestion from SaaS, DBs, APIs
  • Data quality enforcement & validation
  • Orchestration, monitoring & observability
04

MLOps & Deployment Pipelines

  • Automated training & retraining pipelines
  • Model packaging & containerization
  • Real-time & batch serving endpoints
  • Monitoring: accuracy, drift, latency & cost
  • Integration with DevOps & observability stacks
05

Business Intelligence & Analytics

  • Dashboards & reports (Power BI, Tableau, Looker)
  • KPI frameworks & forecasting dashboards
  • Semantic modeling & dataset design
  • Self-service & embedded analytics
The stack

Tools we build on.

SnowflakeDatabricksPyTorchMLflowApache SparkAirflowKafkaElasticsearch
DA
Let’s build

Put Data & AI Services to work.

Tell us where you’re headed — we’ll architect the path to get there.

Book a consultation info@azla.co