Founder-led consulting and custom applications.
Each engagement starts with one decision that matters and ends with a system your team owns.
Palantir Foundry & OSDK applications
End-to-end development for teams that hold Foundry licenses: scoping, Ontology, pipelines and data integration, custom React/TypeScript applications on the OSDK, deployment, and handoff.
Outcome: a working Foundry application, built end to end, that your team can maintain.
- Scoping and use-case definition
- Ontology design and object modeling
- Pipelines, transforms, and data integration
- Custom OSDK applications in React and TypeScript, plus Workshop and Contour views
- AI and LLM integration on governed data
- Deployment, documentation, and handoff to your team
- Stated as a skill set from the founder's prior individual experience. No partnership with, or endorsement by, Palantir is implied.
Enterprise data & ERP integration
For program offices and suppliers whose systems and reports disagree.
Outcome: integrated, reconciled data, each number traceable to its source field.
- Source profiling and authoritative-system identification
- API and pipeline integration across cloud and legacy systems
- Field-level mapping with documented evidence
- ERP migration support: requirements, data migration, UAT
- Experience across Costpoint, SAP, Oracle, Infor LN, and PeopleSoft
KPI, finance & supply-chain decision support
For leaders who need one accountable view instead of five spreadsheets.
Outcome: a working application your users tested before go-live.
- Reconciled KPI sets and metric definitions
- Finance workspaces: cash, variance, and close
- Supply-chain cockpits and supplier-risk workflows
- Exception queues with owners and next actions
- Program and earned-value visibility
Governed AI
For teams that want AI answers they can audit.
Outcome: AI output that carries its evidence. Built for controlled, on-prem environments.
- Natural-language query over governed data
- Explainable metrics and source citations on every answer
- Human-in-the-loop review steps
- LLM-assisted reporting workflows
- On-prem deployment where data cannot leave the perimeter
Training & enablement
For teams adopting a data platform or a new way of working with their data.
Outcome: a team that can build and run the system without outside help.
- Role-based training for builders, analysts, and leaders
- Hands-on workshops on your own use cases
- Reusable design patterns and documentation
- Adoption measurement and change management
Discover. Build. Transfer.
Discover
Name the decision, map the process, confirm authoritative systems.
Build
A working prototype on real data, with the business rules exposed.
Transfer
Document, train, measure, and hand over.