---
video_id: YDAxITCNcko
title: "Palantir Ontology Overview"
channel: Palantir
published_at: 2025-11-17
youtube_url: https://www.youtube.com/watch?v=YDAxITCNcko
flecto_url: https://flecto.zer0ai.dev/youtube/YDAxITCNcko/
---

## Hero

**Palantir AIP** · Product Overview

# Palantir Ontology Overview

Chad Wahlquist · Forward Deployed Architect · 5 min 4 sec

[Watch on YouTube ↗](https://www.youtube.com/watch?v=YDAxITCNcko)

---

## Key Takeaways

**KEY TAKEAWAYS**

### The Ontology: Digital Twin of Your Business

Five concepts that define the Palantir Ontology system.

**01 — The Nouns and Verbs of Your Business**

The Ontology models how your business actually operates — objects like plants, warehouses, and customers with all their complex, interconnected relationships. It is the ground truth of your enterprise, not a copy of how other systems need it.

**02 — Data · Logic · Actions — Three Pillars of Decision-Making**

Every decision-centric system requires three things: data (current state of the business), logic (how to reason about it), and actions (how to affect the real world). The Ontology unifies all three into a single semantic layer.

**03 — A Living Digital Twin of Your Enterprise**

When data, logic, and actions come together in the Ontology, you get a rich digital twin that reflects how your business is operating, how to reason about it, and what actions you can take to change it — in real time.

**04 — The OSDK: An SDK of Your Own Business**

The Ontology SDK (OSDK) lets developers generate a typed SDK from your Ontology — a custom SDK of your business and processes. Build mobile apps, React frontends, back-end integrations, or embed agentic workflows into existing systems.

**05 — AI + Human Teaming on a Shared Context Layer**

LLMs were not trained on your business's data or processes. The Ontology gives AI models the context — data, logic, and actions — to reason about your specific enterprise. The goal over time: automate more of your business with AI and humans working together on the same Ontology.

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## Architecture Walkthrough

**ARCHITECTURE WALKTHROUGH**

### Building the Ontology — Layer by Layer

Chad walks through each layer of the Palantir Ontology system in 5 minutes.

**0:00–1:30 — Introduction — Ontology Concept Overview**

Chad introduces the Ontology as the nouns and verbs of the business. A live Palantir AIP demo shows Object Types (Plant, Warehouse, Customer) populating the Ontology trapezoid plane — representing the manufacturing supply chain.

**0:57–2:00 — Data Sources — Connecting Enterprise Systems**

300+ out-of-the-box connectors to AWS, Salesforce, Oracle, IBM and more. MMDP enables virtualized data from Snowflake, Databricks, and BigQuery. All data pulls into the Ontology seamlessly regardless of source.

**2:00–3:20 — Full 3-Layer Ontology Architecture**

Data Sources, Logic Sources, and Systems of Action anchor the foundation. Logic ranges from Excel spreadsheets and rule-based models to ML forecasts and third-party optimizers. Systems of Action write back to SAP, Oracle, ServiceNow, and edge devices — wherever the decision must take effect.

**3:14–4:20 — Automations — Generative AI Meets the Ontology**

AIP Logic integrates generative AI models that have full access to the Ontology's context. The LM can call deterministic models, reason about business state, and drive write-back actions — orchestrating complex decisions end-to-end without human swivel-chair work.

**4:48–5:04 — AI + Human Teaming — The Complete Ecosystem**

The complete Palantir Ontology stack: Data Sources → Logic Sources → Systems of Action → Ontology Plane → Analytics & Workflows → Automations → Products & SDKs → AI + Human Teaming. All layers visible. The goal: automate more of your business over time as AI and humans collaborate on a shared Ontology.

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## Diagram Gallery

**DIAGRAM GALLERY**

### Every Key Frame — Annotated

High-score frames extracted from the video, ordered by informational density.

**AI + Human Teaming — Complete Ecosystem View** (frame 123)

The definitive summary frame. All layers of the Palantir Ontology system rendered in a single diagram: from data sources through AI + human collaboration roles. Timestamp: 4:52.

**Frame 25**

DATA SOURCES / LOGIC SOURCES / SYSTEMS OF ACTION — the architectural backbone introduced at 0:59.

**Frame 75**

ANALYTICS & WORKFLOWS layer — first expansion above the Ontology plane at 2:58. Palantir Foundry analytics and workflow icons.

**Frame 83**

AUTOMATIONS layer — AIP Logic Action Types representing generative AI-driven automation at 3:17.

**Frame 105**

PRODUCTS & SDKs — OSDK and product icons showing how developers consume the Ontology. The extensibility story of AIP at 4:09.

**Frame 61**

Complete 3-layer Ontology system at peak clarity — Object Types in trapezoid, full DATA / LOGIC / ACTION layers below at 2:24.

**Frame 126**

Final closing shot — all layers rendered together at 4:59. Ideal summary / recap image.

**Frame 5**

Split layout first appears: Chad with live Palantir AIP Ontology demo — empty trapezoid with PREVIEW MODE banner at 0:12.

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## Full Transcript

**FULL TRANSCRIPT**

### Read the Full Transcript — Chad Wahlquist