The 'Ontology-First' Data Strategy
by Nabeel S. Qureshi • Founder (Stealth); Former Forward Deployed Engineer at Ex-Palantir
Former Forward Deployed Engineer at Palantir for 8 years, working on projects with Airbus, the NHS, and the US Government. Also a visiting scholar at the Mercatus Center and former VP at GoCardless.
🎙️ Episode Context
Nabeel Qureshi reveals the inner workings of Palantir, focusing on their unique 'Forward Deployed Engineer' model that embeds technical talent directly with customers to solve high-stakes problems. He explains how Palantir successfully transitioned from a consulting-heavy service model to a high-margin software platform by abstracting customer-specific solutions into generalizable products like Foundry.
Problem It Solves
The friction of using raw data in large organizations where table names are cryptic (e.g., SAP codes) and access is siloed.
Framework Overview
Recognizing that 90% of data work is ingestion and cleaning, this framework focuses on creating a semantic layer between the raw database and the user. It maps technical data to 'real world objects' (e.g., a Plane, a Hospital Bed) so non-technical users can interact with it.
🧠 Framework Structure
Ingest Everything: Use universal adap...
Map to Human Concepts: Translate cryp...
Enable Object-Based Traversal: Allow ...
Democratize Access: Break political g...
When to Use
When building data platforms for non-technical stakeholders or when legacy systems (SAP, Oracle) make data illegible.
Common Mistakes
Assuming the user wants to write SQL or focusing only on the visualization layer (dashboards) without fixing the underlying data model.
Real World Example
Helping Airbus ramp up A350 production by mapping SAP data to a 'digital twin' of the factory floor, allowing workers to see exactly which parts were missing at specific stations.
If you can pull in these tables... and map them to human concepts... then a user can just log in and say, 'Okay. Aircraft 79, where is that?'
— Nabeel S. Qureshi