Architecture & Engineering
Data Architecture & Engineering
Modern data stack design, pipeline development, and platform optimization. Built for today's volume and tomorrow's AI ambitions.
Typical Timeline
8–12 weeks
Team Size
2–4 specialists + AI
Cost Reduction
30–50% cloud costs
Pipeline Reliability
99.9% uptime
The Challenge
The challenge
Your data stack was designed for a different scale. Pipelines are fragile — one schema change breaks three downstream systems. Costs keep climbing because nobody optimized the warehouse after the initial setup. And your data engineers spend 70% of their time firefighting instead of building.
Worse, your current architecture can't support the AI and ML workloads your leadership wants to run. You need a platform that's reliable, cost-efficient, and AI-ready — not just adequate for today.
Our Approach
How we solve this differently
Architecture Assessment
AI agents analyze your current stack — pipelines, warehouse performance, costs, reliability — and identify specific bottlenecks and optimization opportunities.
Modern Data Stack Design
We design architectures on proven platforms (Snowflake, Databricks, BigQuery) with medallion/lakehouse patterns that scale.
Pipeline Engineering
AI agents generate pipeline code using dbt, Airflow, or your preferred orchestration tool. Human-reviewed, tested, and production-hardened.
Cost Optimization
AI agents continuously analyze compute and storage costs, recommend right-sizing, and identify waste — often saving 30–50% on cloud data platform costs.
AI-Powered
What our AI agents handle
Analyze current pipeline health, reliability, and performance across all data flows
Generate pipeline code in dbt, Python, Spark, and your preferred tools
Optimize warehouse configuration, clustering, and partitioning for cost and performance
Detect schema drift and data quality anomalies automatically
Auto-generate data lineage documentation and pipeline dependency maps
Timeline
Typical project timeline
Traditional Approach
Assessment
Architecture Design
Pipeline Build
Testing
Optimization
Agilityx + AI Agents
Assessment
Design + Plan
Build + Test
Optimize + Handoff
Outcomes
What you can expect
30–50%
Cloud cost reduction
Through AI-optimized configurations and right-sizing
99.9%
Pipeline reliability
Automated monitoring and self-healing pipelines
AI-Ready
Architecture from day one
Supports ML workloads without re-platforming
Ready to modernize your data architecture? Let's talk.
Book a 30-minute discovery call and we'll show you exactly how the Build With model applies to your situation.