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Data Pipelines & Analytics

Your data is useless until it flows.

Data locked in silos. Reports that take weeks to produce. Dashboards nobody trusts because the data is stale or incomplete.

You need pipelines that work reliably, transform data correctly, and feed analytics that drive real decisions.

We build data infrastructure that turns raw information into business intelligence.

What We Build

ETL/ELT pipelines (batch and streaming)

Data warehouses and data lakes

Real-time analytics and dashboards

ML feature stores and model serving

Data quality monitoring and observability

See it in action

MathPractice.ai Knowledge Graph

An adaptive learning platform needed to track student proficiency across mathematical concepts in real-time, personalizing problems based on mastery.

We built: Knowledge graph mapping concept dependencies → Real-time proficiency tracking → Bayesian inference for mastery estimation → Analytics dashboards for teachers

50,000+ students

Real-time personalization

35% score improvement

Read the full story

How It Works

We start by understanding your data sources, current pain points, and what decisions you need the data to support.

Then we design and build pipelines that are reliable, observable, and maintainable. No black boxes.

You get data infrastructure that works, with documentation and knowledge transfer so your team can own it.