Frequently Asked Questions

Large consultancies offer scale but typically staff Palantir projects with consultants who have limited platform experience and learned Foundry through training programs. Specialized implementation partners, such as Sibyl, have spent spent years deploying Palantir across industries. This means fewer discovery cycles, faster time-to-value, and implementations that follow platform best practices from day one.

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This experience and operational gap shows up in three ways:

1. Faster time-to-value - our average implementation reaches first production use case in 10-12 weeks versus 20+ to decommissioned weeks typical of large SI engagements;
2. Senior-led delivery - you work directly with engineers who've solved your type of problem before, not junior consultants learning on your project;
3. Cost efficiency - our leaner structure means 30-40% lower day rates without sacrificing quality. We're incentivized to deliver outcomes, not extend timelines.

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Forward Deployed Engineer (FDE) is Palantir's term for engineers who embed directly with customers to deploy and customize the platform. Unlike traditional consultants who advise from a distance, FDEs work hands-on: they understand your data, build production solutions alongside your team, and iterate rapidly based on real user feedback. The FDE model exists because enterprise software only delivers value when it's configured to match actual workflows. As Palantir CTO Shyam Sankar describes it, FDEs "metabolize pain and excrete product." In practice, this means FDEs iterate directly with customers - bridging the gap between product capability and operational reality. FDEs are measured on customer outcomes, not billable hours, which aligns their incentives with yours. Sibyl's founders and senior engineers spent years as FDEs at Palantir before starting the firm. We bring this deployment methodology to every engagement: embedded, hands-on, outcome-focused.

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Further Reading

Forward Deployed Engineering: A Deep Dive (Per Aspera X Mark Scianna)

A Palantir bootcamp is an intensive workshop, typically 2-5 days, where your team works directly with Foundry or AIP on real business problems using your actual data. Bootcamps are designed to produce tangible outputs: working data pipelines, ontology models, and application drafts that can evolve into production solutions. The goal is twofold: validate that the platform solves your specific challenges, and build internal momentum for what comes next. A successful bootcamp ends with clear priorities, identified internal owners, and a roadmap for moving from prototype to production. Sibyl runs bootcamps tailored to your use cases, either at your site or at our facilities. Participants leave with practical platform skills, a validated proof-of-concept, and clarity on what full implementation requires.

The FDE (Forward Deployed Engineer) model means engineers embed with your team, understand your operations deeply, and build solutions hands-on rather than advising from a distance. When evaluating partners claiming this approach, ask concrete questions:

1. Did your engineers work directly creating end-to-end solutions with Palantir, or learn through training programs?
2. How many production deployments has your team delivered?
3. Who specifically will be assigned to my project?

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True FDE-style engagements mean working on-site or closely integrated with your team, iterating rapidly based on user feedback, and delivering production systems rather than slide decks. The difference shows in time-to-value: weeks to first use case, not quarters.

Sibyl's team spent years as FDEs at Palantir before founding the firm. We're happy to answer these questions directly, and encourage you to ask our references the same.

Internal teams bring essential business context, but Foundry has a steep learning curve and platform-specific best practices that take months to learn through trial and error. Sibyl accelerates your team's effectiveness by handling initial implementation while transferring knowledge through paired development and hands-on training.

Because our engineers focus exclusively on Foundry, they typically deliver production-grade applications 4-5x faster than generalist teams learning the platform as they build. Our goal is to build your internal capability rather than create dependency. Most clients reach self-sufficiency within 6-12 months.

Many choose to re-engage when tackling complex new use cases, ensuring platform stability through on-call support, or expanding to additional business units. That's a choice, not a requirement.

A typical implementation takes 10-14 weeks from kickoff to first production use case. This breaks down as follows:

• ‍Discovery and scoping: 2-3 weeks‍
• Data integration and ontology design: 4-6 weeks‍
• Application development: 3-4 weeks‍
• Training and handover: 1-2 weeks

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Timeline varies based on data complexity and organizational readiness.