One pipeline, from raw data to a unified intelligence layer.

1

Read every source, exactly as it is.

The platform ingests spreadsheets, exports, and database dumps without asking you to standardize anything first. It retains source lineage throughout to eliminate any possibility of hallucinations.

2

Work out the real-world things behind the files.

The platform reads across your sources and figures out which records refer to the same real thing, even when spellings, IDs, and formats disagree.

3

Find what’s connected across all of it, and where new paths can be created.

Once the unified object model is produced, the platform uncovers deep, undeclared connections and articulates specific data points you’re not yet gathering that will unlock deeper analyses.

4

Living, evolving, cross-system intelligence.

Alerts when something crosses a threshold. Cross-system KPIs that update as data flows in. Automated workflows that run on the model, all fully generated for you.

What became visible

Three systems. One model. Patterns only visible once joined.

$2.36M/yr became measurable across six connected areas.

A commercial contractor’s data lived in three systems: an ERP, an estimating tool, and a set of project records. Each system had its own view. None of them saw across.

Once Zandara read all three, resolved the real-world entities behind the records, and connected them, six areas of the business became measurable for the first time. What appeared was theirs to act on, surfaced by the model and sized against their own data.

Labor Productivity$632K/yr
Real-Time Profitability$627K/yr
Estimate vs. Actual Variance$442K/yr
Change Order Cost Impact$394K/yr
Item Master & Sourcing$290K/yr
Material Price Intelligence$246K/yr
Total Annual Value$2.36M/yr

Every figure is a roll-up from records the client already owned, and each bar traces back to its source.

No infrastructure changes.

Zandara reads what your systems already produce. Nothing to install inside them. Nothing for your team to migrate. The platform runs on exports and database dumps, in the form your systems already emit.

Your data is trying to tell you something.

See it on a sample of your own data. No new infrastructure. No preparation on your side.

See it on your data