News & Intel
LiveDaily AI-curated intelligence on Palantir Foundry, Ontology, AIP, Apollo, contracts, and community feedback. Updated automatically via GitHub Actions every day at 7 AM UTC.
Using AIP Agents to Detect Financial Anomalies
Financial datasets are noisy by nature, variance in revenue recognition, irregular payment cycles, and seasonality make it hard to distinguish real anomalies from expected fluctuations. AIP Agents can cut through that noise. By combining Ontology-linked financial objects with agent logic, you can build a system that continuously monitors key metrics, flags statistical outliers, and triggers downstream actions without manual intervention. The interesting challenge here isn’t just detection, it’s context. An agent that knows why a number looks off is far more useful than one that simply flags it. Anyone experimenting with AIP Agents for financial monitoring? Would like to exchange approaches 1 post - 1 participant Read full topic
It’s No Longer Doom and Gloom for These 3 ‘AI Doom’ Stocks
Once thought to be in serious jeopardy due to the rise of generative and agentic AI, these stocks are up this month.
The Top 15 Questions to Ask a VP of Sales During an Interview (Updated for 2026)
One of the classic original SaaStr posts was on the Top 10+ Questions to Ask a VP of Sales Candidate. I updated it in 2025. I’m updating it again for 2026, because the world has changed even more. We’re now in a world where AI agents handle a meaningful chunk…
RelationalAI Closes the AI Value Gap with New Agentic Decision Intelligence Capabilities for the Snowflake AI Data Cloud
New context, reasoning, and post-training capabilities help joint Snowflake and RelationalAI customers move from data and analytics to enterprise-scale decision intelligence New context, reasoning, and post-training capabilities help joint Snowflake and Relat…
Data Connection | Building Sync Failure Foundry -> S3 Bucket
Hey Everyone! I am running into an issue with building a network connection sync from Foundry to my AWS S3 Bucket. I am convinced I am messing up either the S3 Bucket Policy or some setting within Foundry. But when I review the build progress and see the 3 failed attempts, the details about the failure says: Unexpected infrastructure failure: the job has failed unexpectedly in the backing compute cluster without committing or aborting. Reason: Job was killed by the backing compute system with the following container states: [container_name: foundry-data-sidecar, state: PodInitializing] [container_name: telemetry-sidecar-6d8345db, state: PodInitializing] [container_name: user-container, state: PodInitializing] The AIP says its an infrastructure failure and not something pertaining to what I did. Is that accurate? Is this not my fault? More than happy to share more information. In essence, what I am trying to do is have something running continuously in AWS EC2 and it saves
Build Dataset using Function called in AIP Agent
I have built a function in typescript v2 repository. Here I have used the dataset build orchestator api. This api triggers the dataset build. It works when I execute the function inside the repository. However, when I call this function in AIP agent then it fails to execute. Is there any setting that I might be missing? or is this a platform level restriction? Typescript v2 function: import { PlatformClient } from "@osdk/client"; import { Orchestration } from "@osdk/foundry"; /** * Triggers a build for the specified dataset. * @param client - The Foundry platform client (injected automatically). * @param datasetRid - The RID of the dataset to build (input by the user). * @returns A message indicating the result. */ export default async function triggerCustomersCleanBuild( client: PlatformClient, datasetRid: string ): Promise<string> { // Trigger the build using the Orchestration API await Orchestration.Builds.create(client, { target: {
Enterprise Software Leaders Build AI Agents With NVIDIA
NVIDIA today announced new software, open source models and partnerships with the world’s leading software platform providers to build autonomous AI agents for industries and enterprises across engineering, healthcare, software development and business operat…
Enterprise Software Leaders Build AI Agents With NVIDIA
News Summary: New NVIDIA Agent Toolkit software — including latest NVIDIA NemoClaw blueprints, Nemotron models, OpenShell secure runtime and CUDA-X...
Nvidia gives developers the tool to build secure, autonomous AI workers that scale
Not content with just providing the infrastructure for the next generation of artificial intelligence agents, Nvidia Corp. is also providing the tools for developers to build them. At Nvidia GTC Taipei 2026, concurrent with the Computex conference, the compan…
Personal agents light the fuse as Snowflake and Databricks move up the AI stack
The artificial intelligence wave is starting to look a bit like the personal computer era – with some obvious differences. The first similarity is personal productivity. Individuals are taking control of their own work with agents, open tools and repeatable s…
AI FDE network issues
AI FDE looking really good and helpful so far. One issue I’ve had is network instability, however. So, if I lose internet for just a second then the current request fails, as do all of the subagents I’m running. I get a “network error” in chat. And if it’s a long // intensive workflow, then this saps time to rework, especially if my internet is still sketchy. Could AI FDE interactions be put more server side rather than all be seemingly orchestrated client side to make them more resilient to this 1 post - 1 participant Read full topic
How do I create object types with code?
Is it possible to create object types in code (without asking AI to create object types)? I’m trying to go a step beyond HyperAuto that creates object types and links for a list of SAP tables from the HyperAuto outputs. Users could then use this downstream to ask AIP Chatbots about their ontology/SAP environment. Is there any API that can create an object type similar to: Get Object Type • API Reference • Palantir ? (Also, please add an “API” tag option to this Developer Community. The closest I could find was osdk.) 1 post - 1 participant Read full topic
Building an Agent-Driven Dashboard with Real-Time Updates in Palantir
Building an Agent-Driven Dashboard with Real-Time Updates in Palantir Post: Hi everyone, I’m working on an application idea in Palantir and would really appreciate some guidance from the community. Use Case: I want to build an application that includes: An AI/agent interface where users can ask questions in natural language A dashboard that dynamically updates based on the agent’s responses Goal: When a user asks a question: The agent interprets the query and retrieves or computes relevant data The dashboard updates automatically to reflect the results (charts, metrics, tables, etc.) The experience feels interactive and real-time , similar to a conversational analytics tool What I’m Trying to Understand: What is the best way to connect an agent (AIP / Ontology-based agent / LLM) with a dashboard in Palantir? How can I trigger dynamic dashboard updates based on agent outputs? Should this
Looking for a WMS-lite in Foundry
I’m looking for a WMS-lite pattern/product in Foundry. Basic needs: SKU/location inventory receipts picks/shipments adjustments simple 3PL/customer portal minimal ontology + Workshop app I’d be willing to pay for something like this if it were installable and minimally configurable. A few Marketplace questions: Are Foundry Products / Marketplace intended to become a place where builders can publish reusable apps/products for other Foundry users? Is there currently a central place to browse available Marketplace products, or is discovery mostly enrollment/org-specific today? If another community member has packaged something useful, is the right sharing path export/import of a Marketplace product file, assuming both sides have the required permissions? Curious if anyone has already built something in this direction. 1 post - 1 participant Read full topic
Adding Foundry support for FastAPI web app with SQL backend
Hi there We’re a startup building an agent optimization platform. One of our clients is using Palantir Foundry to store their data and they have asked us to integrate our platform into Palantir Foundry. Essentially, our platform is a FastAPI server connected to a SQL DB where it reads/writes information (sometimes on the hot path). Our schema backend implements ~100 functions that, under the hood, call a bunch of SQL queries. We also have maximum inner product search over vectors (we use extensions like pgvector in Postgres). For integration into Foundry, I was thinking about representing our DB as an Ontology. Couple of questions: Does this make sense? Is the latency and parallelism going to be okay? Is there a better way to do this than creating an ontology? How would you handle maintainability? Our schema still changes, and I kind of want to avoid having to manually tweak the ontology every time we change it. Is here someone who would like to help with that? Sort of
Pro code agent connection to OMCP
Hi, I would like a step by step or template for connecting a pro code agent to an Ontology MCP. The current code repo template come with the palantir_mcp tool already setup but don’t have instructions for connecting an ontology_mcp. 1 post - 1 participant Read full topic
AIP Assist answers based on previous versions of applications
When I use AIP Assist, I sometimes get the impression that it provides answers based on older versions of the applications, and at times this happens quite frequently. Does anybody else have the same experience? 1 post - 1 participant Read full topic
GitHub-First Development on Foundry Code Repos: Mirroring, CI/CD, and AI Agent Workflows
This is a x-post of our inaugural [Engineering Blog post](https://www.gallatin.ai/news/github-first-development-on-foundry-code-repos-mirroring-ci-cd-and-ai-agent-workflows) @ Gallatin GitHub-First Development on Foundry Code Repos: Mirroring, CI/CD, and AI Agent Workflows Josh Bouganim - Senior Software Engineer At Gallatin, we’ve built a set of tools that lets us keep our primary repository on GitHub while automatically mirroring changes to a Palantir Foundry Code Repo. It provides automated branch protection management, tag-based release deployment, Foundry build status monitoring, a gradlew wrapper for local development, and CLI-based function execution. This makes the entire develop-test-deploy cycle UI-free for engineers and scriptable for AI coding agents. Why We Built This We’re building [*Navigator*]( https://www.gallatin.ai/product ) , a logistics and supply chain management platform powered by Palantir Foundry. Our backend runs almost entirely on Found