Palantir

Helps organizations apply AI to operational workflows, automate processes, and make informed decisions using enterprise data.

Helps government and defense users securely analyze sensitive data and support AI-driven operational decisions.

Connects data, analytics, and operations so organizations can build governed workflows and make informed decisions.

Helps customers deploy, monitor, and manage software across environments with visibility into security and compliance information.

Helps maritime organizations improve planning, reduce delays, and make better-informed shipbuilding and maintenance decisions.

Helps manufacturers connect operations, respond to changing conditions, and make informed production decisions.

Deploy AI across sensors and remote environments to support autonomous decisions and operations with limited connectivity.

Helps government agencies securely onboard and manage software, accelerate deployments, and maintain oversight across deployed services.

Helps Army forces fuse sensor data on the move, deliver targeting information, and reduce sensor-to-shooter time.

Helps infrastructure organizations expand power and compute capacity, strengthen grid resilience, and coordinate construction and operations.

Accelerates enterprise migrations, legacy-system retirement, and cloud transitions from years to months.

Connects enterprise data, compute, and AI models under shared governance for AI-driven workflows.

Helps organizations build Foundry skills, advance use cases, and get expert support to realize more value from Foundry.

Builds data pipelines from existing systems in hours rather than months.

Provides timely insights from satellite sensors and AI models without requiring users to orchestrate collections or start with raw sensor data.

Helps organizations deliver solutions to government faster.

Helps startups and smaller companies build and scale AI-powered systems and products on a managed, enterprise-grade platform.

Automates insurance workflows to support faster underwriting, claims decisions, and customer interactions.

Integrates automotive lifecycle data to help teams improve quality, manage disruption, reduce costs, and make faster decisions.

Helps food and beverage organizations integrate data, optimize supply chains and production, reduce waste and costs, and automate workflows.

Provides AI and machine-learning capabilities for military services and battlefield operations.

Helps financial institutions investigate financial crime, improve alert quality, reduce investigative effort, and strengthen AML risk management.

Turns customer data into insights that streamline service workflows and help banks onboard customers faster.

Unifies procurement data and automates workflows to support risk-aware sourcing, cost savings, and efficient operations.

Helps organizations manage assets, personnel, and finances.

Palantir AIP

Palantir AIP is an artificial intelligence platform for applying AI to operational workflows and decision-making across government and commercial organizations. It supports building AI agents and automations in enterprise data contexts, connecting models with existing storage and compute, and applying shared security policies and execution guardrails. Organizations use AIP to automate processes such as claims review, underwriting, supply chain planning, and data migration, with human review and approval incorporated into workflows where needed.

• Build And Deploy AI Agents
  Develop AI agents that work with enterprise data and support operational workflows.
• Automate Operational Workflows
  Reduce manual work with AI-powered workflows for operational processes.
• Govern AI Access And Actions
  Apply enterprise access controls and policy to data, compute, and AI use.
• Connect Enterprise Data And Systems
  Bring data from different systems and formats into AI-driven workflows.
• Integrate Models And Compute
  Choose models and compute engines for enterprise AI workflows.
• Track AI Decisions And Changes
  Maintain records and lineage for AI-related actions and changes.
• Keep People In The Decision Loop
  Allow people to review AI recommendations and intervene when human approval or correction is required.

Gotham

Palantir Gotham is a software platform used by governments and intelligence agencies to securely analyze sensitive data and support operational objectives, including understanding and defending against threats to national security. It supports AI-driven defense decision-making, data integration, collaborative analysis, and secure access across networks and classification levels.

• Support AI-Driven Defense Decisions
  Help defense users make operational decisions with AI-driven support.
• Turn Sensitive Data Into Insights
  Bring diverse data together and help analysts focus on understanding information and acting on mission needs.
• Enable Secure Collaborative Analysis
  Support shared analysis across users and classification levels while maintaining access controls and audit records.
• Deploy And Improve AI Models
  Use AI and machine learning infrastructure to support intelligence analysis.

Palantir Foundry

Palantir Foundry is an operating system for the modern enterprise that connects organizational data, analytics, and operations. Its Ontology provides a dynamic representation of a business, linking data, models, decisions, and workflows. Foundry includes data integration, analytics, model development, application building, and operational workflows, with security, governance, and interoperability capabilities. Foundry also incorporates the Ontology and Pipeline Builder capabilities described in their separate product entries: a shared semantic operating model, Ontology-based application development, and no-code production-grade data pipeline building, including LLM-assisted PDF extraction and external pipeline compute pushdown.

Category: Data Analytics Platforms

• Connect Data To Business Operations
  Represent organizational context in a shared model so teams can connect data and models to decisions, workflows, and actions.
• Unify Data And Build Pipelines
  Bring varied data into a connected environment and build production-grade pipelines without code.
• Build Operational Applications And Workflows
  Develop applications and workflows that connect organizational data to operational processes and decisions.
• Connect AI To Governed Workflows
  Apply AI capabilities within operational processes using enterprise context and workflow connections.
• Govern Access And Track Data Lineage
  Control data and application access while supporting transparency, validation, and audit requirements.
• Use Existing Data And AI Systems
  Integrate existing storage, compute, and model resources with Foundry while maintaining common security and governance.
• Analyze Data And Operationalize Models
  Explore data and connect model outputs to enterprise workflows and operational decisions.

Apollo

Palantir Apollo is a platform for autonomously deploying, monitoring, and managing software across environments. It supports deployment across cloud, on-premises, and other operating environments and helps teams manage updates and operations across distributed deployments. Apollo Insights provides real-time visibility into CVEs, STIGs, and other information.

• Deploy Software Across Environments
  Deploy software across cloud, on-premises, and other operating environments.
• Monitor And Manage Deployments
  Monitor software deployments, manage updates, and view security information across environments.

ShipOS

ShipOS brings Palantir Foundry and AIP to the U.S. Maritime Industrial Base to support shipbuilding construction and maintenance. It integrates enterprise and operational data to identify bottlenecks, streamline engineering workflows, and support risk mitigation. Capabilities include demand planning, procurement optimization, dynamic scheduling, contract review automation, non-compliance process optimization, production visibility, and supply chain risk visibility.

• Unify And Monitor Production Data
  Help decision-makers identify bottlenecks and monitor production across distributed operations.
• Optimize Production Schedules
  Adjust schedules and assess how production decisions affect delivery plans.
• Coordinate Demand And Supply
  Use demand, supplier, and material information to support procurement decisions and proactive risk mitigation.
• Improve Resource And Inventory Planning
  Support effective use of labor and machine capacity and help teams assess inventory and working capital changes.
• Streamline Quality And Compliance Work
  Support contract review, non-compliance handling, and quality documentation workflows.

Warp Speed

Warp Speed is a manufacturing operating system designed to adapt to a business rather than force the business to adapt to software. It connects to existing systems through a unified API and supports workflows such as clear-to-build, inventory rebalancing, and demand forecasting. It is presented as an AI-native, Ontology-driven manufacturing execution system with near-real-time visibility and traceability across production stages.

• Connect Existing Systems
  Build on systems already in use through a unified API.
• Support Manufacturing Workflows
  Use workflows for clear-to-build, inventory rebalancing, and demand forecasting.
• Track Production And Adapt Operations
  Help teams understand operations and respond to changes with improved visibility and traceability.

Palantir Edge AI

Palantir Edge AI is an AI orchestration and sensor fusion platform that runs on disconnected, remote endpoints. It enables organizations to train, manage, and deploy proprietary or third-party models on sensors and devices in low-bandwidth and low-power conditions. Capabilities include chaining modular models across devices, continuous model delivery, and returning decisions and metadata to Palantir’s core platform. Use cases include manufacturing quality control, robotic motion planning, remote sensing, predictive maintenance, autonomous navigation, and energy management.

• Enable Autonomous Decisions At The Edge
  Run AI models on edge devices to make decisions from real-time data in remote or disconnected environments.
• Deploy And Chain Models Across Devices
  Run and connect models across diverse edge devices and environments.
• Continuously Deliver And Improve Models
  Use edge deployment feedback to support model retraining and ongoing delivery.
• Apply AI Across Edge Operations
  Run models near sensors to detect defects, monitor equipment, analyze imagery, support navigation, and inform operational actions.

Mission Manager

Mission Manager helps government agencies securely onboard, deploy, and manage software vendors and applications in a Kubernetes-based ecosystem. It gives administrators oversight of deployed services and software versions. The platform supports automated cybersecurity and risk management, continuous monitoring and delivery, distributed data integration, centralized identity and data security, deployment across cloud and on-premises environments, and open standards.

• Automate Security And Reduce Approval Burden
  Streamline approvals and reduce effort through automated cybersecurity controls.
• Onboard And Manage Vendors Securely
  Bring software vendors into a secure ecosystem and manage their workloads.
• Monitor Deployments And Surface Risk
  Maintain oversight of deployments and security information to support operational readiness.
• Deploy Across Environments And Standards
  Choose cloud or on-premises deployment and integrate through open standards.
• Connect Data And Manage Access
  Integrate existing data infrastructure and manage identity and access for secured data.

TITAN

TITAN is the U.S. Army’s next-generation, AI-enabled intelligence ground station and a novel AI-defined vehicle. Its flexible design brings together sensors, networks, and automation, applying AI and machine learning to multi-domain data to deliver decision-quality targeting information. It supports collection and processing while on the move, interoperability with modern sensors and Army and Joint Fires systems, and reduced Soldier workflow burdens and cognitive load.

• Fuse And Process Data On The Move
  Combine sensor and multi-domain information while operating on the move.
• Deliver Targeting Information Faster
  Support more accurate targeting and reduce time from sensor to shooter.
• Reduce Soldier Workflow Burdens
  Help warfighters access decision-quality information while reducing workflow burden.

Chain Reaction

Chain Reaction brings Palantir’s Ontology, Foundry, and AIP to organizations building and operating American AI infrastructure. It connects energy producers, grid operators, infrastructure builders, and data centers to embed AI into operations across power generation, grid management, construction, and compute capacity. Capabilities include grid planning and resilience, plant maintenance, construction management, materials and equipment management, procurement, scheduling, and supply chain orchestration.

• Connect Infrastructure Data And Actions
  Support coordinated work across organizations building and operating AI infrastructure.
• Plan And Strengthen Grid Resilience
  Support grid operations and resilience as demand grows.
• Expand AI Infrastructure Capacity
  Support efforts to expand the infrastructure underpinning AI.
• Increase Power Generation Uptime
  Help power generation assets meet demand through maintenance capabilities.
• Coordinate Infrastructure Construction
  Support project delivery by coordinating resources, schedules, and spend.
• Coordinate Procurement And Supply Chains
  Support materials and supply chain activity as organizations expand infrastructure.

Enterprise Data Migration

Palantir AIP applies AI across the enterprise data migration lifecycle to help organizations understand legacy systems, build data models, transform data, and validate results. It ingests legacy documentation, requirements, and compliance frameworks; queries source databases to identify relationships; and generates transformation logic and migration-ready data. AIP maintains context across migration stages to trace validation errors to their source and propagate corrections. The solution supports cloud transitions and legacy-system retirement.

• Model And Transform Migration Data
  Prepare source data and legacy workloads for target environments.
• Find And Correct Migration Errors
  Trace validation failures and carry corrections through migration workflows.
• Understand Legacy Systems And Rules
  Use source materials and transaction data to clarify migration requirements and legacy logic.
• Coordinate Migration Work With Shared Context
  Connect migration stages and incorporate expert feedback to guide corrections and priorities.
• Operate Across Legacy And Target Systems
  Maintain operations across old and new environments during migration.

Multimodal Data Plane

Palantir’s Multimodal Data Plane connects enterprise data, compute, and AI models to support AI-driven automations and agents across systems. It can encode tabular, media, real-time, and time-series data; work with a range of storage systems and compute engines; and integrate commercial, open-source, and custom models. Shared security, policy, lineage, versioning, and auditing capabilities help organizations govern these resources across enterprise workflows.

• Connect Diverse Enterprise Data
  Bring data modalities and existing storage environments into AI workflows.
• Connect Compute And AI Models
  Choose compute resources and models for enterprise AI workflows.
• Govern Connected Resources
  Manage access and trace changes across connected data, compute, and model resources.

Palantir Customer Success Services

Palantir Customer Success Services provides training, support, and consultation to help organizations get more value from Foundry. Offerings include role-based Foundry certifications, a structured Use Case Boost program with expert guidance, ticket-based development support and Live Support, and self-guided documentation, reference examples, and interactive tutorials.

• Accelerate Use Case Delivery
  Support Foundry projects with structured expert guidance while building skills that continue beyond the engagement.
• Build And Validate Foundry Skills
  Help users learn Foundry and demonstrate skills in areas such as application development and data engineering.
• Resolve Product Questions
  Give users support channels to get help and move use cases forward.

Palantir HyperAuto

Palantir HyperAuto automatically builds data pipelines from an organization’s systems in hours rather than months.

• Build Pipelines In Hours, Not Months
  Reduce the time required to build data pipelines from existing systems.

MetaConstellation

MetaConstellation integrates existing satellites and optimizes orbital, terrestrial, and aircraft sensors and AI models to answer time-sensitive questions. It dynamically identifies available sensors and coordinates coverage, while AI models process imagery, detect and geolocate objects, and identify movement. With Edge AI, algorithms can run on satellites or at ground stations and send relevant data subsets to decision-makers.

• Match Questions To Sensor Coverage
  Turn questions into coordinated sensor coverage by selecting available sensors and scheduling collections.
• Deliver Insights From Sensor Data
  Provide relevant imagery insights rapidly without requiring decision-makers to start with raw sensor data.
• Apply Best-Fit Collection Algorithms
  Select algorithms for collections and adapt imaging activity as needs change.

FedStart

FedStart helps organizations deliver cutting-edge solutions to the government at the speed of innovation.

• Accelerate Government Solution Delivery
  Help organizations bring solutions to government faster.

Palantir for Builders

Palantir for Builders gives startups and small and medium-sized companies access to Palantir AIP and Foundry. Its continuously updated, fully managed AI infrastructure supports cloud hosting, data integration, analytics and visualization, access to large language models, agent building, application deployment, and operational decision-making. Organizations can customize internal systems, incorporate LLMs into workflows, and build customer-facing products while maintaining security and governance. The platform is designed to meet requirements including GDPR, HIPAA, FedRAMP, IL5/6, and SOC 2.

• Build On Managed Enterprise Platforms
  Use AIP and Foundry with managed infrastructure to build software and workflows.
• Maintain Security And Governance
  Support security and governance needs, including the listed regulatory and industry requirements.
• Build Data And AI Workflows
  Use data, analytics, models, and agents in applications and operational workflows.
• Build And Scale Applications
  Develop internal systems and customer-facing products on the platform.

Palantir for Insurance

Palantir for Insurance applies AI and automation across underwriting, claims, customer interactions, and daily operations. It extracts information from structured and unstructured sources, supports underwriting and coverage decisions, integrates with actuarial and operational systems, and helps insurers process claims and serve customers. Human review, recorded decision lineage, and configurable policy rules support accountable decision-making.

• Support Faster Underwriting Decisions
  Bring submission information, historical cases, guidelines, and actuarial outputs into underwriting workflows.
• Process Claims Against Coverage Rules
  Support consistent claims intake, assessment, and routing using configurable coverage conditions.
• Advance Claims Payouts And Analysis
  Support automated eligible payouts and analysis of claims trends and estimates.
• Keep Decisions Traceable And Reviewed
  Maintain decision lineage and human oversight for consequential claims determinations.
• Support Customer Service Workflows
  Use integrated customer information and interaction tools to support customer-facing and claims workflows.

Automotive & Mobility

Palantir Foundry provides an end-to-end solution for the automotive ecosystem, integrating vehicle lifecycle data into a collaborative environment for analysis. It supports OEMs, suppliers, dealers, and other mobility organizations across design, assembly, marketing, sales, and vehicle use. Capabilities address quality management, component performance, supply chain resilience, manufacturing operations, vehicle configuration demand, material costs, new vehicle launches, carbon accounting, and mobility asset maintenance.

• Unify Vehicle Lifecycle Data
  Give automotive teams an integrated environment for analysis and collaboration.
• Identify And Resolve Quality Issues
  Help teams address emerging problems before they lead to larger failures, recalls, or costs.
• Model And Optimize Operations
  Explore potential disruptions and adjust operations using connected data and scenario analysis.
• Improve Automotive Planning And Performance
  Support demand planning, cost reduction, vehicle launches, emissions analysis, and mobility asset maintenance.

Food and Beverage Solution

Foundry and AIP help food manufacturers, food service organizations, and quick service restaurants integrate data and build workflows across the food and beverage value chain. The solution supports supply chain planning, inventory management, production yield, waste reduction, food safety and quality, cost optimization, financial forecasting, restaurant ordering and delivery automation, and operational scenario analysis.

• Coordinate Supply And Inventory Decisions
  Help organizations respond to changing costs, labor conditions, supply risks, and network needs.
• Improve Production And Logistics
  Connect operational workflows to support more efficient use of resources.
• Manage Supply And Product Risks
  Help teams identify and address supply risks, shortages, and product safety issues.
• Forecast Costs And Model Scenarios
  Use integrated operational and financial information to evaluate options and inform decisions.
• Automate Order And Customer Workflows
  Streamline ordering and fulfillment while connecting product information across workflows.

Maven Smart System

Maven Smart System is Palantir’s AI and machine-learning system for military services. Palantir has announced expanded AI/ML capabilities and describes AI as transforming battlefield operations.

• Expand AI Support For Military Services
  Support military services as they apply AI and machine learning to battlefield operations.

Anti-Money Laundering

Palantir Foundry for AML is a regulator-approved approach for deploying an AI-based AML and compliance process. It supports transaction monitoring, investigations, KYC, risk rating, sanctions screening, and enhanced due diligence. The solution combines entity resolution and network risk models with configurable scenarios, investigative workflows, reporting, and granular security controls. It is an out-of-the-box solution built on scalable data infrastructure with open formats and interoperability.

• Triage Alerts And Coordinate Investigations
  Help analysts investigate linked entities and coordinate case review across teams.
• Generate Traceable And Secure Reports
  Support reporting with data lineage while protecting sensitive information and enabling appropriate access.
• Identify And Assess Financial Crime Risk
  Connect customers, counterparties, and activity to help institutions assess risk and improve alert handling.
• Deploy And Integrate AML Capabilities
  Accelerate implementation and connect AML data and workflows with existing environments.
• Coordinate Customer Risk Checks
  Address customer due diligence and sanctions screening within AML operations.

Applied Customer Intelligence

Applied Customer Intelligence helps banks operationalize customer data to build an insights-driven bank. Work with Citi Wealth included building a Global Federated Customer Master to streamline customer service workflows, including account opening, and support faster onboarding and KYC processes.

• Unify Data And Streamline Customer Service
  Give teams a consolidated customer data foundation for service workflows.
• Accelerate Onboarding And KYC
  Connect customer information to onboarding and KYC workflows to support faster processing.

Procurement

An AI-powered operating system for direct and indirect procurement, finance, and supply chain teams. It applies AI-driven automation to procurement workflows and provides a governed operating layer that unifies supplier, contract, transaction, and inventory data. Capabilities include supplier intelligence, configurable approvals, contract management, purchase order and invoice reconciliation, spend management, RFQ processes, and material needs forecasting.

• Unify Data And Automate Procurement
  Give teams a shared foundation for procurement workflows and reduce routine manual work.
• Improve Sourcing And Supplier Management
  Support supplier evaluation, sourcing, vendor management, and spend decisions.
• Manage Procurement Controls And Records
  Support reconciliation, contract visibility, and configurable approval processes.
• Forecast Material Requirements
  Model inventory levels and provide refill recommendations to support material planning.

Readiness

Palantir Readiness is an offering for organizational asset, personnel, and financial management.

• Manage Organizational Resources
  Manage organizational assets, personnel, and finances through Readiness.