Palantir's $12.8M Army contract for user-centered machine learning R&D awarded via full and open competition

Contract Overview

Contract Amount: $12,888,063 ($12.9M)

Contractor: Palantir USG Inc

Awarding Agency: Department of Defense

Start Date: 2024-09-25

End Date: 2025-11-21

Contract Duration: 422 days

Daily Burn Rate: $30.5K/day

Competition Type: FULL AND OPEN COMPETITION

Pricing Type: FIRM FIXED PRICE

Sector: R&D

Official Description: TASK ORDER OFF A COMMERCIAL SOLUTIONS OPENING FOR RESEARCH AND DEVELOPMENT FOR USER CENTERED MACHINE LEARNING (UCML).

Place of Performance

Location: PALO ALTO, SANTA CLARA County, CALIFORNIA, 94301

State: California Government Spending

Plain-Language Summary

Department of Defense obligated $12.9 million to PALANTIR USG INC for work described as: TASK ORDER OFF A COMMERCIAL SOLUTIONS OPENING FOR RESEARCH AND DEVELOPMENT FOR USER CENTERED MACHINE LEARNING (UCML). Key points: 1. Contract focuses on advanced machine learning capabilities for the Department of the Army. 2. Awarded through a Commercial Solutions Opening (CSO), suggesting a focus on innovative, market-driven solutions. 3. The contract duration of 422 days indicates a medium-term project. 4. Palantir USG Inc. is the sole awardee for this specific task order. 5. The contract type is Firm Fixed Price, which shifts cost risk to the contractor. 6. This award falls under R&D in Physical, Engineering, and Life Sciences, a critical sector for defense modernization.

Value Assessment

Rating: good

Benchmarking the value of this specific task order is challenging without more granular data on the scope of work and deliverables. However, Palantir is known for its complex data analytics platforms, and the $12.8 million value for a 422-day R&D effort in machine learning appears within a reasonable range for specialized technology development. Further analysis would require comparing the specific technical requirements and expected outcomes against similar R&D contracts in the defense sector.

Cost Per Unit: N/A

Competition Analysis

Competition Level: full-and-open

This contract was awarded under a Commercial Solutions Opening (CSO), which is a mechanism designed to encourage innovative solutions from commercial sources. While described as 'full and open competition,' CSOs typically have a different solicitation and evaluation process than traditional FAR-based procurements, often focusing on the novelty and commercial viability of proposed solutions. The number of bidders is not specified, but the CSO approach aims to broaden the pool of potential offerors beyond traditional defense contractors.

Taxpayer Impact: A full and open competition, even through a CSO, generally promotes price discovery and ensures taxpayers receive competitive pricing by allowing multiple vendors to propose solutions.

Public Impact

The primary beneficiaries are the Department of the Army, which will receive advanced user-centered machine learning capabilities. This contract supports the development of cutting-edge technologies that could enhance military operations and decision-making. The geographic impact is primarily within the United States, where the R&D activities will likely take place. The contract may have implications for the specialized workforce in data science, machine learning, and artificial intelligence.

Waste & Efficiency Indicators

Waste Risk Score: 50 / 10

Warning Flags

The specific deliverables and success metrics for this R&D effort are not detailed, making it difficult to assess performance outcomes.
Palantir's history with government contracts, while extensive, has sometimes involved scrutiny regarding data handling and pricing.
The reliance on a single awardee for this task order, even within a CSO framework, warrants monitoring for potential future sole-source implications if follow-on work is extensive.

Positive Signals

The use of a Commercial Solutions Opening (CSO) indicates an effort to leverage innovative commercial technologies.
The Firm Fixed Price contract type aligns costs with performance, providing budget certainty.
The focus on User-Centered Machine Learning addresses a critical and evolving area of defense technology.

Sector Analysis

This contract falls within the Research and Development sector, specifically focusing on advanced computing and artificial intelligence. The market for defense-related AI and machine learning R&D is highly competitive and rapidly evolving, with significant government investment aimed at maintaining technological superiority. Comparable spending benchmarks would involve looking at other R&D contracts awarded by DoD agencies for AI/ML capabilities, often through mechanisms like CSOs or Small Business Innovation Research (SBIR) programs.

Small Business Impact

This contract does not appear to have a small business set-aside. Palantir USG Inc. is a large business. There is no explicit information provided regarding subcontracting plans for small businesses. The impact on the small business ecosystem is likely minimal for this specific task order, as it is not designed to directly benefit or engage small businesses through set-asides.

Oversight & Accountability

Oversight for this contract would typically fall under the Department of the Army's contracting and program management offices. Transparency is facilitated through contract databases like FPDS.gov, where basic award information is published. Specific oversight mechanisms for R&D projects often involve technical reviews, milestone tracking, and performance assessments conducted by government technical monitors. Inspector General jurisdiction would apply in cases of fraud, waste, or abuse.

Related Government Programs

Department of Defense Research and Development
Artificial Intelligence and Machine Learning Initiatives
Commercial Solutions Openings (CSOs)
Data Analytics Platforms
User-Centered Design R&D

Risk Flags

R&D Uncertainty
Technology Maturation Risk
Integration Challenges
Scope Creep Potential

Frequently Asked Questions

What is this federal contract paying for?

Department of Defense awarded $12.9 million to PALANTIR USG INC. TASK ORDER OFF A COMMERCIAL SOLUTIONS OPENING FOR RESEARCH AND DEVELOPMENT FOR USER CENTERED MACHINE LEARNING (UCML).

Who is the contractor on this award?

The obligated recipient is PALANTIR USG INC.

Which agency awarded this contract?

Awarding agency: Department of Defense (Department of the Army).

What is the total obligated amount?

The obligated amount is $12.9 million.

What is the period of performance?

Start: 2024-09-25. End: 2025-11-21.

What is Palantir's track record with similar R&D contracts in machine learning for the Department of Defense?

Palantir USG Inc. has a significant track record with various U.S. government agencies, including the Department of Defense, primarily known for its data integration and analytics platforms. While many of their contracts focus on operational deployment and software licenses, they have also engaged in R&D efforts. Specific details on their past machine learning R&D contracts with the Army are not readily available in the public domain without deeper database analysis. However, their broader work in AI/ML for defense applications suggests experience in developing and adapting complex algorithms for military use cases. Past performance evaluations and contract awards would provide a more detailed picture of their success in delivering on R&D objectives.

How does the $12.8 million value compare to other R&D task orders for machine learning within the Army?

The $12.8 million value for this 422-day task order is a moderate investment for specialized R&D in machine learning. The Army, like other defense branches, invests heavily in AI/ML, with contract values ranging from small, targeted research grants to multi-billion dollar program development. Task orders of this magnitude are common for focused R&D efforts aiming to mature specific technologies or explore novel applications. Without knowing the precise scope, it's difficult to make a direct comparison, but it aligns with typical funding levels for advanced technology development projects that are not yet at full-scale acquisition.

What are the primary risks associated with this contract, given its R&D nature and Palantir as the awardee?

Key risks include the inherent uncertainty of R&D outcomes; the technology may not mature as expected, or the results may not be directly applicable to operational needs. For Palantir, risks could involve scope creep if requirements evolve significantly during the project, or challenges in integrating their solutions with existing Army systems. There's also a potential risk related to the long-term sustainment and cost of ownership for any developed technology. Given Palantir's complex platforms, ensuring interoperability and managing the total lifecycle cost are critical considerations.

How effective is the Commercial Solutions Opening (CSO) mechanism in driving innovation for defense R&D compared to traditional methods?

The CSO mechanism is designed to be highly effective in tapping into commercial innovation by allowing non-traditional defense contractors and companies with mature commercial products to propose solutions. It streamlines the acquisition process for certain types of R&D, focusing on the merit of the proposed solution rather than strict adherence to traditional defense contracting regulations. This can lead to faster development cycles and the adoption of cutting-edge technologies. However, effectiveness can vary based on how well the CSO is managed, the clarity of requirements, and the evaluation criteria used. It complements traditional methods by providing an alternative pathway for innovation.

What is the historical spending trend for R&D in machine learning by the Department of the Army?

The Department of the Army, along with the broader Department of Defense, has shown a consistent and increasing trend in spending on Research and Development for artificial intelligence and machine learning over the past decade. This surge is driven by the recognition of AI/ML's transformative potential across various military domains, from intelligence analysis and logistics to autonomous systems and cybersecurity. Budgets allocated to AI/ML R&D have grown substantially, reflecting a strategic priority to maintain technological advantage. Specific figures fluctuate annually based on program priorities and budget allocations, but the overall trajectory is upward.

What are the potential long-term implications of this contract for the Army's AI/ML capabilities?

This contract has the potential to significantly enhance the Army's user-centered machine learning capabilities. If successful, the R&D could lead to improved tools for data analysis, enhanced situational awareness, more effective decision support systems, and potentially new autonomous functionalities. The 'user-centered' aspect suggests a focus on human-machine teaming and ensuring that AI/ML tools are intuitive and effective for military personnel. Successful outcomes could pave the way for broader adoption and integration of these advanced technologies across various Army formations and missions.

Industry Classification

NAICS: Professional, Scientific, and Technical Services › Scientific Research and Development Services › Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Product/Service Code: RESEARCH AND DEVELOPMENT › C – National Defense R&D Services

Competition & Pricing

Extent Competed: FULL AND OPEN COMPETITION

Solicitation Procedures: BASIC RESEARCH

Solicitation ID: W519TC23SCTSM

Pricing Type: FIRM FIXED PRICE (J)

Evaluated Preference: NONE

Contractor Details

Parent Company: Palantir Technologies Inc.

Address: 635 WAVERLEY ST, PALO ALTO, CA, 94301

Business Categories: Category Business, Corporate Entity Not Tax Exempt, Not Designated a Small Business, Special Designations, U.S.-Owned Business

Financial Breakdown

Contract Ceiling: $13,393,800

Exercised Options: $12,888,063

Current Obligation: $12,888,063

Contract Characteristics

Commercial Item: COMMERCIAL PRODUCTS/SERVICES PROCEDURES NOT USED

Cost or Pricing Data: NO

Parent Contract

Parent Award PIID: W911QX24D0024

IDV Type: IDC

Timeline