Palantir Foundry Services That Turn Data Into Operational Decisions
Palantir Foundry is designed as an end-to-end data operations platform with capabilities for data integration, model development, ontology, workflow automation, and application delivery.

We help organizations design, build, and scale Palantir-based solutions across AI/ML engineering, data engineering, and full-stack application development. Our team brings the technical depth needed to move from raw data to governed, production-ready products inside the Palantir ecosystem.
Service pillars

1) AI/ML Engineering
Our AI/ML engineers develop and operationalize models inside Palantir Foundry and AIP, from experimentation through production monitoring. Palantir supports integrated model development, flexible external model integration, and governed paths to production, which makes this service area central to successful deployments.

What we deliver
1.Machine learning model design and implementation.
2.Feature engineering and training pipeline support.
3.Model evaluation, deployment, and monitoring.
4.GenAI / LLM solution integration.
5.MLOps and production readiness support.
Ideal for
Organizations that want to embed predictive intelligence into operations.
Teams looking to move from prototypes to production AI.
Businesses needing secure, governed AI in enterprise environments.

2) Data Engineering
Our data engineers build reliable data pipelines, transformation layers, and data models that power analytics, AI, and operational applications. Palantir Foundry is built around data integration, lineage, ontology, and dataset-centric workflows, making strong data engineering the foundation of the platform.

What we deliver
1.Data ingestion and transformation pipelines.
2.ETL/ELT workflows.
3.Data modeling and ontology support.
4.Data quality, lineage, and governance workflows.
5.Scalable platform integration with cloud and modern data stacks.
Ideal for
Teams with fragmented data sources.
Enterprises needing trusted, governed datasets.
Clients modernizing their data platform for AI and analytics.

3) Full-Stack Development
Our full-stack engineers build user-facing applications in React, TypeScript, and modern UI frameworks that connect directly to Palantir data products and operational workflows. Palantir’s platform includes application-building, analytics, and decision orchestration capabilities, so strong front-end development is essential for turning platform logic into usable products.

What we deliver
1.React/TypeScript application development.
2.Dashboard and workflow UI implementation.
3.Operational app interfaces for analysts and business users.
4.Integration with data and AI services inside Palantir.
5.Responsive, secure, enterprise-grade front ends.
Ideal for
Customer-facing or internal operational apps.
Teams that need clean interfaces for complex workflows.
Organizations that want business users to act on data faster.
Technical skills section
Technical Skills We Bring

Programming proficiency: Python, Java, C++, TypeScript/JavaScript. Palantir-forward deployed and AI roles commonly expect strong coding ability in these languages.
Computer science fundamentals: data structures, algorithms, storage systems, and software engineering principles.

Cloud and infrastructure: AWS, GCP, Azure, Docker, Kubernetes, and modern deployment practices.

Version control: Git-based collaboration and team development workflows.
Problem decomposition: converting ambiguous business problems into technical solutions.

How We Work
Palantir projects require teams that can translate technical work into business outcomes, communicate with both technical and non-technical stakeholders, and operate with autonomy in fast-changing environments. That is why client communication, collaboration, adaptability, and ownership matter as much as coding skill.

What Makes Our Approach Effective
Palantir delivery often requires hands-on work directly on customer infrastructure, close client collaboration, and the ability to move across AI, data, and application layers. Our service model is built around that same reality: practical engineering, not just strategy.