Consulting and Implementation of Palantir Solutions
At Galde we help organizations design, implement, and evolve enterprise solutions built on Palantir Foundry and Palantir AIP.
Our Palantir consulting service combines strategy, architecture, data integration, ontology design, data governance, and the development of operational and AI-driven solutions.
We don’t just configure the technology. Galde’s goal is for Palantir to be properly integrated into the company’s architecture, to address real use cases, and to be able to evolve alongside the internal team, supporting you as Forward Deployed Engineers (FDEs).
How can Galde help you with Palantir?
Many organizations have large volumes of data but still make decisions based on fragmented information, manual processes, and disconnected systems.
At Galde we use Palantir to tackle problems such as:
- Data spread across ERP, CRM, databases, and internal applications
- Processes dependent on spreadsheets
- Lack of traceability over the origin and transformation of information
- Difficulty applying permissions and access policies
- Analytical or AI models that never make it to production
- Data systems that are complex to maintain
- Lack of a shared view of customers, orders, assets, or suppliers
- Operational applications disconnected from the data ecosystem
- AI use cases without sufficient context, control, or governance
Galde analyzes the business problem first, and only then defines which Palantir capabilities are needed. We don’t recommend deploying technology components without a clear use case and potential return.
Galde's Palantir Consulting Services
Palantir Strategy and Architecture
Before starting an implementation, Galde’s team analyzes the role Palantir should play within the current architecture.
We define:
- Priority use cases
- Sources and systems that need to be integrated
- Target architecture
- Technical dependencies
- Security needs
- Governance model
- Implementation phases
- Internal team responsibilities
- Adoption and performance metrics
The goal is to build a realistic roadmap, avoiding overly broad projects that take too long to generate value.
Palantir Foundry Consulting
Galde’s Palantir Foundry consulting is aimed both at organizations starting an implementation and at companies already using the platform who need to improve it.
We can help you:
- Design the Foundry architecture
- Review an existing implementation
- Incorporate new data sources
- Improve pipelines and transformations
- Organize datasets and projects
- Design or evolve the Ontology
- Configure permissions and access policies
- Build operational applications
- Prepare data for new use cases
- Reduce technical debt
- Document the platform
- Train the internal team
At Galde we don’t try to add unnecessary complexity. We prioritize making the platform useful, maintainable, and understandable for the people who will work with it.
Palantir Foundry Implementation
Galde supports organizations through the entire Palantir Foundry implementation process, from initial design through to going live.
The service may include:
- Environment configuration
- Connection to data sources
- Ingestion and transformation
- Building pipelines
- Dataset modeling
- Ontology design
- Permission configuration
- Application development
- Integration with existing tools
- Testing and validation
- Technical and functional documentation
- Training and knowledge transfer
Each implementation is structured around specific use cases. Rather than trying to model the entire organization from the start, Galde prioritizes a first functional solution that validates the architecture and generates learning.
Data Integration in Palantir Foundry
Data integration in Palantir Foundry is one of the pillars of Galde’s service.
We connect information from:
- ERP.
- CRM.
- Databases.
- Data warehouses.
- Data lakes and lakehouses.
- Enterprise applications.
- APIs.
- Cloud platforms.
- Files and spreadsheets.
- Industrial systems.
- IoT devices.
- Structured and unstructured sources.
Following integration goals such as:
- Eliminate silos
- Reduce manual processes
- Keep information up to date
- Unify formats and definitions
- Improve data quality
- Preserve traceability
- Enable secure access
- Prepare a reliable base for analytics and AI
- Connect data with operational processes
For Galde, integrating data isn’t just about moving it between systems. It also means understanding how it’s used, what rules should apply, and which teams depend on it.
Data Governance with Palantir
Galde helps define and apply a data governance model with Palantir that allows data to be used without losing security, quality, or control.
We work on:
- RACI Matrix: Defining owners and responsible parties.
- Access management.
- Classification of sensitive information.
- Standardization of concepts and metrics.
- Lineage and traceability.
- Validation of transformations.
- Change management.
- Documentation.
- Auditing.
- Quality rules.
- Governance of datasets and objects.
- Control of AI applications and flows.
In a Palantir Foundry data governance project, we help answer questions such as:
- Who can access each piece of data?
- What system does it come from?
- What transformations has it undergone?
- What definition does each department use?
- Which applications depend on that information?
- Who can modify an entity?
- How are changes recorded?
- What information can an AI model access?
- What actions can each user or system perform?
The platform provides the technical capabilities; we turn them into a governance model that applies to how the organization actually operates.
Ontology Design in Palantir Foundry
The Palantir Foundry ontology lets you represent the company through concepts the business can understand.
Instead of working only with tables and columns, you can model elements such as:
- Customers
- Orders
- Products
- Suppliers
- Contracts
- Facilities
- Assets
- Incidents
- Invoices
- Shipments
- Work orders
These entities can be connected through relationships and can incorporate properties, rules, and actions.
For example: Customer → Order → Product → Warehouse → Shipment
Or in an industrial setting: Plant → Production line → Machine → Incident → Maintenance order
Galde's Palantir Foundry Ontology Service
Galde’s work may include:
- Identifying business entities
- Defining object types
- Designing properties
- Creating relationships
- Defining actions
- Incorporating business rules
- Configuring permissions
- Validation with technical and functional users
- Documenting the model
- Progressively evolving the Ontology
- Integration with applications and AI systems
A poorly designed ontology can reproduce the same problems and silos that already exist. That’s why at Galde we start with the entities needed to solve the priority use case and expand the model in a controlled way.
Palantir AIP Consulting
We help identify, design, and implement AI use cases using Palantir AIP.
Our Palantir AIP consulting may include:
- Identifying opportunities.
- Prioritizing use cases.
- Preparing data and context.
- Agent design.
- Creating automations.
- Integrating AI models.
- Connecting with the Ontology.
- Developing AI-assisted applications.
- Configuring permissions and guardrails.
- Evaluating results.
- Human oversight.
- Auditing and traceability.
- Going live.
- Team training.
Palantir AIP Implementation
A Palantir AIP implementation should start with the business process, not with the language model.
Before developing the solution, we analyze:
- What problem needs to be solved
- What task should be improved or automated
- What information the system needs
- Who the users will be
- What actions it will be able to perform
- What permissions and controls are needed
- How quality will be evaluated
- When a person should step in
Based on this analysis, we develop a first, well-scoped, measurable use case that’s ready to scale.
Palantir AIP Use Cases
Galde’s approach isn’t to use AI just because it’s available, but to check whether it genuinely improves a task or process.
- Internal assistants connected to corporate information.
- Conversational data queries.
- Incident analysis.
- Operational recommendations.
- Task automation.
- Document processing.
- Planning support.
- Risk tracking.
- Maintenance assistance.
- Purchasing automation.
- Agents for internal operations.
- AI-assisted workflows.
Palantir Foundry and Palantir AIP: How Do They Relate?
Foundry and AIP have different but complementary functions.
| Palantir Foundry | Palantir AIP |
|---|---|
|
Integrates and transforms data |
Connects AI models with data and processes |
|
Builds pipelines |
Builds agents and automations |
|
Organizes datasets and logic |
Adds generative AI capabilities |
|
Represents the business through the Ontology |
Uses that context to guide the AI |
|
Enables building operational applications |
Embeds AI within those applications |
|
Controls access and resources |
Adds governance and evaluation of AI flows |
Galde can work across both layers within the same initiative, starting with data integration and organization and then evolving toward applications and AI use cases.
Use Cases
- Energy asset tracking.
- Operational data integration.
- Maintenance planning.
- Production forecasting.
- Performance monitoring.
- Incident management.
- Risk underwriting and pricing.
- Claims management.
- Fraud detection.
- Policy tracking.
- Actuarial analysis.
- Claims handling.
- Regulatory compliance (Solvency II, IFRS 17).
- Credit risk management.
- Transactional fraud detection.
- Payment tracking and reconciliation.
- Onboarding and KYC.
- User behavior analysis.
- Regulatory compliance (AML, PSD2).
- Scoring and automated decisioning.
- Supply and demand matching.
- Listing and catalog management.
- Fraud and duplicate content detection.
- User behavior analysis.
- Price and commission optimization.
- Conversion and funnel tracking.
- Content moderation and quality control.
- Production data integration.
- Asset tracking.
- Predictive maintenance.
- Quality control.
- Incident management.
- Capacity planning.
- Process optimization.
- Demand forecasting.
- Inventory management.
- Order tracking.
- Route optimization.
- Supplier control.
- Scenario simulation.
- Disruption detection.
- ERP and CRM integration.
- Unified customer view.
- Purchasing management.
- Report automation.
- Project tracking.
- Resource planning.
- Performance analysis.
We adapt the architecture and implementation to each company’s context. Not every use case needs the same combination of Foundry, Ontology, and AIP.
Palantir Within Galde's Data Strategy
At Galde we see Palantir as one piece within a broader data architecture. That’s why, before recommending an implementation, we analyze existing systems, business needs, and the role each platform should play.
Our Data Platforms consulting service helps organizations design architectures capable of integrating, transforming, governing, and using data from different environments.
We work with platforms and technologies such as:
- Databricks: for data engineering, advanced analytics, machine learning, and lakehouse architectures
- Snowflake: for storing, processing, and leveraging data in the cloud
- Microsoft Azure: for designing and deploying data solutions on Microsoft’s cloud ecosystem
- Google Cloud Platform: for building data, analytics, and AI architectures on GCP
- Amazon Web Services: for developing scalable data platforms on AWS
Frequently Asked Questions
It may include use case analysis, architecture design, data integration, Foundry implementation, Ontology design, AIP deployment, application development, training, and support. The scope adapts to each organization’s needs and maturity level.
Yes. Galde can work on architecture, data integration, pipelines, Ontology, permissions, applications, and going live with Foundry-based solutions.
Galde can help identify and implement AI use cases connected to corporate data and processes using Palantir AIP.
Yes. We can analyze the architecture, pipelines, dataset organization, Ontology, permissions, and maintainability of a current implementation.
Feasibility depends on the system, available APIs, data volume, and update frequency. Galde analyzes each integration before defining the architecture.
Yes. It’s not always necessary to replace the existing architecture. Galde evaluates how to integrate Palantir with current components and what role each platform should play.
Cost depends on scope, data sources, Ontology complexity, required applications, security, and level of support. Galde can run an initial diagnostic to estimate effort and split the project into phases.
Support can include maintenance, new integrations, Ontology evolution, pipeline improvements, new use cases, and training.
Discover the rest of our services for businesses
Implementing Palantir is often part of a broader data transformation and adoption initiative. Galde can support organizations in other related areas.
Data Integration
Connect all your information sources and eliminate silos to work with a single source of truth.
Data Visualization
Turn complex data into clear, actionable insights through dashboards and tools tailored to your business.
Data Teams
Build efficient data teams, aligned with business goals and ready to develop information-driven products.
