Palantir consulting services
LINES OF WORK
Palantir Foundry and AIP, from design to production
Three lines that work as a single chain, and a fourth for teams that already run Palantir.
Business problem
01
Data governance
Data with owners, permissions and lineage in Foundry
Owners, permissions, classification, lineage and control of AI, implemented in Foundry from the first use case.
Capabilities
- Owners and RACI matrix
- Permissions and sensitive data classification
- Data lineage and quality
- Control of AI workflows
- GDPR compliance
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
ERP, CRM, IoT and data lakes integrated with maintainable pipelines, alongside Databricks or Snowflake when it makes sense.
Capabilities
- Foundry architecture
- ERP, CRM, IoT and API integration
- Pipelines in production
- Coexistence with Databricks, Snowflake or a data lake
- Compute costs under control
03
AI with Palantir AIP
Your business in the Ontology, with AI working on it
The Ontology, operational applications and AIP use cases in production, with permissions, evaluation and human oversight.
Capabilities
- Ontology design
- Operational applications
- Agents and automation with AIP
- Integration through the OSDK
- Evaluation and guardrails
Value in production
Delivery modelTeams that integrate with yours as Forward Deployed Engineers, and a full transfer of code, Ontology, documentation and knowledge.
Already running Palantir and it is not delivering what you expected? In an implementation audit we analyse the architecture, pipelines, Ontology, permissions and maintainability, and tell you what to change first.
