Palantir Results Presentation Deck

Q2 Business Update Usage-Based Pricing Enabling IT to buy Foundry with a clear, transparent model that scales in predictable ways relative to usage and value → Enabling GSI partners to more successfully drive joint sales and deliver projects All data shown in product screenshots herein is notional and for illustration purposes only. < 90 +3 Resource Management Acme Corp All usage Investigate and understand resource consumption Usage accounts Group similar projects, objects or links for analysis/reporting Usage reports Download usage data by month/ quarter Export data 1, Download resource channel usage data in CSV format Queues Set limits on usage to control usage and costs All usage How much did I spend in total? How much did I spend over time? Jan 1 What drove data integration costs? CPU compute CPU and memory usage for individual jobs GPU compute GPU and memory usage for deploying machine leaming models Data integration Ontology Total spend ($) by usage categories Interactive compute Queries that are evaluated in real-time, usually as part of an interactive user session Catalog storage A general-purpose data store for datasets, branches and previous transactions Postgres storage A storage system that provides faster or more flexible queries What drove ontology costs? CPU compute CPU and memory usage for individual jobs Catalog storage A general-purpose data store for datasets, branches and previous transactions Highbury storage A storage system that provides improved ontology performance Ⓒ2022 Palantir Technologies Inc. Group by: Jan 31 Usage categories Usage accounts No 20.5% 20.5% Analyze data integration costs 20.596 الى 20.5% 20.5% 20.5% Analyze using currency 20.5% Total: $3,000,000 20.5% Data integration Ontology $950,000 $300,000 $750,000 $C SC Analyze ontology costs $1,000,000 $C so

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