Models & Infrastructure
Data Infrastructure & Reporting
The pipelines and warehouse your analytics and AI initiatives actually need underneath them.
Analytics and AI projects tend to get the attention, while the pipelines feeding them get built as an afterthought and never revisited. This engagement builds that foundation deliberately: automated pipelines into a warehouse structured around how your team actually reports, with a BI layer on top people trust, and data shaped so it's usable by AI tools later instead of only by human readers today.
Sound familiar?
- ✓Every report requires manually pulling data from three different systems
- ✓You want to use AI on your data but it's scattered, inconsistent, or untrustworthy
- ✓Your BI tool is set up but nobody maintains or trusts what's in it
What the engagement looks like
Pipeline and warehouse setup
Clean, automated data pipelines feeding a warehouse built for how your team actually reports.
BI and dashboard implementation
A reporting layer on top, built to match the decisions from your Analytics & Decision Intelligence work.
AI-readiness cleanup
Data structured so it's usable by AI tools and models later, not just human readers today.
This is a good fit if you're…
- Growing companies that outgrew spreadsheets and ad hoc exports
- Teams about to start an AI project that need clean data first
- Anyone whose "single source of truth" isn't actually one
Rate for this engagement runs $150–$250/hr, scoped after a free intro call.
Frequently asked questions
What data warehouse or stack do you recommend?
It depends on your data volume, budget, and existing tools. Common choices are BigQuery, Snowflake, or Postgres for smaller setups. The recommendation comes after understanding your actual usage, not a default preference.
Can this work alongside our existing BI tool?
Usually, yes. Most engagements clean up and structure the data feeding your existing BI tool rather than replacing it, unless the tool itself is genuinely the wrong fit for your team's size.
How does this relate to the AI Hardware & Infrastructure service?
This service is about your data layer: pipelines, storage, and reporting. AI Hardware & Infrastructure is about the compute you run models on. They're independent, and most companies only need one at a time.
Ready to get started with Data Infrastructure & Reporting?
No pitch deck, no obligation. Just a straight answer on whether AI can actually help your situation, and how.
$150–$250/hr · no contracts, no retainers required