Ontology · AIP Logic · OSDK

Palantir Foundry and AIP engineering from someone who has shipped it for a DoD program.

We build ontology-backed agents, AIP Logic, OSDK applications and data pipelines inside the Foundry environment you already run, so new capability lands in the platform your teams use instead of another disconnected tool.

Diagnose this workflow →Book a fit call

Start: Workflow Diagnostic · from $7,500
Build: 4–8 weeks · from $25,000
Run: From $2,500/mo

Sound familiar?

Foundry is licensed, but the ontology is thin and few workflows run on it.
Teams want AIP agents but have no evaluation or approval path.
Data pipelines and dashboards live outside the platform.

Where it applies

Ontology design and ETL
AIP Logic and agents
OSDK applications
Program dashboards and Power BI views

How it works

Four steps. One audit trail.

Clean cases flow straight through. Anything that does not match waits for a named reviewer, and every step is written to the log.

Clean cases flow straight throughExceptions wait for a named reviewerEvery step is logged

Model
Ontology objects, links and actions designed around the real workflow.
Pipe
Pipelines and ETL into the ontology from the systems of record.
Automate
AIP Logic and agents with governed actions and human approval.
Evaluate
Test cases, prompt registry and monitoring before and after release.

A policy answer that can be checked at its source.

Compare retrieved passages, select the applicable version, and produce an answer with evidence rather than a plausible guess.

Scenario

01Read question
02Compare sources
03Review decision
04Prepare answer

Input & evidence

Employee question

Who approves a $7,500 software purchase?

Retrieved policy passages · fictional

Policy v2 · §4.2: Manager approval up to $10,000.
Policy v3 · §4.2: Manager up to $5,000; director above $5,000.

Validation & review

Inspect the source, then run the checks.

Follow a case from input to a reviewed output. Try the exception and the matching scenario.

Ready to run

Every action is written to the decision trail.

Decision trail

Sample loaded. No external systems connected.

Prepared output

Nothing is released until the case passes validation and a reviewer approves it.

Fictional data and scripted outcomes that explain the design. Not a live SI system or a client result. See the knowledge & research offer →

Controls built in

Actions bounded by ontology permissions
Prompt registry with versioned changes
Human approval on consequential actions

What you receive

Ontology objects, links and actions
Pipelines and AIP Logic
Evaluation cases and results
Documentation and handoff

Related proof

OptiSyn engagementA DoD enterprise program · Defense · via prime

SI agents running inside the platform the mission already uses.

AIP+ Foundry ontology

1platform, no new silo

Challenge: Program teams needed governed SI access to many data and media sources without adding another disconnected SI tool.
Built: Palantir AIP and Foundry agents backed by the ontology, a prompt registry, ontology ETL, Azure DevOps data pipelines and operational Power BI views.
Result: Agents, data and operational context run inside the existing platform, forming a reusable base for the next workflows.

Palantir AIPFoundryAzure DevOpsPower BI

See the related offer →