
Palantir Foundry and AIP Specialist Consultancy
In 60 days we take your first use case into production on Foundry, with full technical control and the autonomy for your team to run it and grow it.
See our Palantir consulting
We help our clients innovate






WHAT WE DO
Palantir Foundry and AIP, from design to production
Three lines of work that operate as a single chain: governing data in Foundry, connecting it to the systems you already have and turning it into applications and AI that are used in operations.
Business problem
01
Data governance
Data with owners, permissions and lineage in Foundry
We define who is accountable for each piece of data, who can access it and how its use is controlled, and we implement it in Foundry from the first use case, not in a separate document. It is the foundation for reliable applications and AI.
Capabilities
- Owners and RACI matrix
- Permissions and sensitive data classification
- Data lineage and quality
- Control of AI workflows
- GDPR compliance
- Data operating model
Galde GovernanceOur own methodology
Our method for moving from diagnosis to governance that is actually in place.
- Health Check — maturity across 8 dimensions in 15 minutes
- Governance Blueprint — gaps, regulatory risk and priorities
- Golden Path — a 30, 90 and 180-day roadmap
- Implementation — with your team, on Palantir Foundry
02
Data integration
Foundry connected to the systems you already have
We design the Foundry architecture and integrate ERP, CRM, IoT and data lakes with maintainable pipelines. You do not always need to replace what works: we define the role each platform plays. We also review implementations that are already under way.
Capabilities
- Foundry architecture
- ERP, CRM, IoT and API integration
- Pipelines in production
- Coexistence with Databricks, Snowflake or a data lake
- Review of existing implementations
- Compute costs under control
Components
- Palantir Foundry
- Pipelines
- Connectors
03
AI with Palantir AIP
Your business modelled in the Ontology, with AI working on it
We model the objects, relationships and actions of your business in the Ontology, build operational applications and take AI use cases with AIP into production, with permissions, evaluation and human oversight.
Capabilities
- Ontology design
- Operational applications
- Agents and automation with AIP
- Integration through the OSDK
- Evaluation and guardrails
- Team training
Components
- Ontology
- Palantir AIP
- OSDK
Value in production
Delivery modelTeams that integrate with yours —engineers, architects, analysts and data scientists, working as Forward Deployed Engineers— and a full transfer of code, Ontology, documentation and knowledge.
HOW WE DO IT
Our methodology for taking Palantir into production
Our integrated method takes your first Foundry use case into production in 60 days through a triple validation process.
On Foundry from day one, with complete documentation explaining every technical decision.
Quantified ROI and measurable evidence to justify the investment to leadership.
A full transfer of the Ontology, permissions and knowledge so you can run and scale on your own.
The problem with implementations that don’t last


While large integrators
arrive with generalist teams and long projects, and the platform knowledge leaves with them when they finish…
And teams that only configure the platform
leave behind pipelines and ontologies that nobody on your team knows how to maintain or grow…
Galde takes Palantir into production with you
use cases in production that your team understands, maintains and evolves, with the code, documentation and Ontology handed over.
RESULTS
What changes when Palantir reaches production
days to the first usecase in production
less analysis time withthe data in the Ontology
of manual workautomated with AIP
Ontology that connectsall your systems

From idea to Palantir in production in 60 days
A first use case on Foundry, with a tight scope and clear metrics, so you can decide with data whether it is worth scaling.
See the MVP60™ methodology
THOUGHT LEADERSHIP
The latest on Palantir
Forward Deployed Engineering: The Model OpenAI and Anthropic Are Buying
What forward deployed engineering is, why AI labs are buying the firms that practise it, and what it means for anyone hiring an implementation partner.
Palantir Use Cases by Sector: Manufacturing, Energy, Insurance and Public Sector
Which processes Palantir Foundry solves in each sector, what the cases that work have in common, and how to choose the first one in your organisation.
A Palantir Deployment in 60 Days: From Workshop to Production
How a first Palantir Foundry case reaches production in 60 days: the phases, the conditions that make it possible and what is deliberately left out.
Frequently asked questions
What we are usually asked before a project starts.
Have another question? Write to usWhat does Galde’s Palantir consulting include?
It can include use case analysis, architecture design, data integration, Foundry implementation, Ontology design, AIP deployment, application development, training and support. The scope adapts to the needs and maturity of each organisation.
Does Galde carry out Palantir Foundry implementations?
Yes. Galde can work on the architecture, data integration, pipelines, Ontology, permissions, applications and production rollout of Foundry-based solutions.
Can Galde review an existing implementation?
Yes. We can analyse the architecture, pipelines, dataset organisation, Ontology, permissions and maintainability of a current implementation.
Can Palantir coexist with Snowflake, Databricks or a data lake?
Yes. It is not always necessary to replace the existing architecture. Galde assesses how to integrate Palantir with the current components and what role each platform should play.
ECOSYSTEM
Palantir Foundry at the centre of your stack
We connect Foundry to the systems you already use: cloud, data platforms, BI and business applications. There is no need to replace what already works.
Amazon Web Services Google Cloud Microsoft Azure Databricks Palantir FoundryOntology · AIP Microsoft Power BI HubSpot ActiveCampaign Tableau



