Galde

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).

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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.

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.

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.

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.

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.

Following integration goals such as:

  • Eliminate silos.
  • Reduce manual processes.
  • Keep information up to date.
  • Unify formats and definitions.
  • Improve data quality.
  • Preserve traceability.

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.

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.

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

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.

Palantir AIP Implementation

A Palantir AIP implementation should start with the business process, not with the language model.

Before developing the solution, we analyze:

  1. What problem needs to be solved.
  2. What task should be improved or automated.
  3. What information the system needs.
  4. Who the users will be.
  5. What actions it will be able to perform.
  6. What permissions and controls are needed.

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.

Palantir Foundry and Palantir AIP: how do they relate?

Foundry and AIP have different but complementary functions.

Palantir FoundryPalantir AIP
Integrates and transforms dataConnects AI models with data and processes
Builds pipelinesBuilds agents and automations
Organizes datasets and logicAdds generative AI capabilities
Represents the business through the OntologyUses that context to guide the AI
Enables building operational applicationsEmbeds AI within those applications
Controls access and resourcesAdds 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

Sectors

Energy

  • Energy asset tracking.
  • Operational data integration.
  • Maintenance planning.
  • Production forecasting.
  • Performance monitoring.
  • Incident management.

(Re)insurance

  • Risk underwriting and pricing.
  • Claims management.
  • Fraud detection.
  • Policy tracking.
  • Actuarial analysis.
  • Claims handling.
  • Regulatory compliance (Solvency II, IFRS 17).

Fintech

  • Credit risk management.
  • Transactional fraud detection.
  • Payment tracking and reconciliation.
  • Onboarding and KYC.
  • User behavior analysis.
  • Regulatory compliance (AML, PSD2).
  • Scoring and automated decisioning.

Digital Marketplaces

  • 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.

Industry and Manufacturing

  • Production data integration.
  • Asset tracking.
  • Predictive maintenance.
  • Quality control.
  • Incident management.
  • Capacity planning.
  • Process optimization.

Supply Chain and Logistics

  • Demand forecasting.
  • Inventory management.
  • Order tracking.
  • Route optimization.
  • Supplier control.
  • Scenario simulation.
  • Disruption detection.

Corporate Operations

  • 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.

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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

What does Galde's Palantir consulting include?

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.

Does Galde carry out Palantir Foundry implementations?

Yes. Galde can work on architecture, data integration, pipelines, Ontology, permissions, applications, and going live with Foundry-based solutions.

Does Galde offer Palantir AIP consulting?

Galde can help identify and implement AI use cases connected to corporate data and processes using Palantir AIP.

Can Galde review an existing implementation?

Yes. We can analyze the architecture, pipelines, dataset organization, Ontology, permissions, and maintainability of a current implementation.

Can Palantir integrate with our ERP or CRM?

Feasibility depends on the system, available APIs, data volume, and update frequency. Galde analyzes each integration before defining the architecture.

Can it coexist with Snowflake, Databricks, or a data lake?

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.

How much does an implementation cost?

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.

Does Galde offer support after implementation?

Support can include maintenance, new integrations, Ontology evolution, pipeline improvements, new use cases, and training.

All our Palantir lines of work

Implementing Palantir is often part of a broader data transformation and adoption initiative. Galde can support organizations in other related areas.

01Data governanceData with owners, permissions and lineage in Foundry.02Data integrationFoundry connected to the systems you already have.03AI with Palantir AIPYour business in the Ontology, with AI working on it.04Implementation auditWhat to fix first in the Palantir you already have.

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