FA864924P0268
Purchase Order
Overview
Government Description
SBIR phase I proposal no. FX237-PCSO1-0730 - skyla: Artificial Intelligence (AI) enabled system to control multiple small Unmanned Aerial Systems (UAS)
Awardee
Awarding / Funding Agency
Place of Performance
Arlington, MA 2474 United States
Pricing
Fixed Price
Set Aside
Small Business Set Aside - Total (SBA)
Extent Competed
Full And Open Competition After Exclusion Of Sources
Related Opportunity
None
Lauretta Ai was awarded
Purchase Order FA864924P0268 (FA8649-24-P-0268)
worth up to $74,958
by Air Force Research Laboratory
in December 2023.
The contract
was awarded
with a Small Business Total set aside
with
NAICS 541715 and
PSC AC32
via direct negotiation acquisition procedures with 999 bids received.
SBIR Details
Research Type
Small Business Innovation Research Program (SBIR) Phase I
Title
Skyla: Artificial Intelligence (AI) Enabled System to Control Multiple Small Unmanned Aerial Systems (UAS)
Abstract
Future wars with massive, well-equipped adversaries requires the US to maximize our military strength using autonomous systems to augment our human resources. Lauretta proposes developing, testing, and integrating an embedded Artificial Intelligence (AI) software agent, called Skyla, to enable automated tasking and re-tasking of swarmed Unmanned Aerial Systems (UASs) to support the Air Force s use of autonomous systems, at scale. Lauretta's system allows multiple UAS to cooperate on a central set of objectives with minimal operator intervention. The system comprises 3 components: A specialized AI-enabled interface that allows operators to communicate using objectives which will then be decomposed into an entire scenario tree 10-ounce on-board device that combines a telemetric digital twin of the UAS with a command and control system and vision processing component to evaluate objectives. Communication protocol and objective framework to allow UASs to autonomously cooperate to fulfill the high-level objectives of the operations. Skyla s capability to automate task generation and execution is crucial to reduce the number of humans in harm s way on a battlefield, while executing large-scale UAS deployment. Its user-friendly interface for mission statement input and task monitoring will further enhance scalability and reduce training efforts.
Research Objective
The goal of phase I is to establish the technical merit, feasibility, and commercial potential of proposed R&D efforts and determine the quality of performance of the small business awardee organization.
Topic Code
AFX237-PCSO1
Agency Tracking Number
FX237-PCSO1-0730
Solicitation Number
X23.7
Contact
Meghan Scott
Status
(Closed)
Last Modified 3/4/25
Period of Performance
12/13/23
Start Date
3/15/24
Current End Date
3/15/24
Potential End Date
Obligations
$75.0K
Total Obligated
$75.0K
Current Award
$75.0K
Potential Award
Award Hierarchy
Purchase Order
FA864924P0268
Subcontracts
Activity Timeline
People
Suggested agency contacts for FA864924P0268
Competition
Number of Bidders
Not Applicable For Award Type
Solicitation Procedures
Negotiated Proposal/Quote
Evaluated Preference
None
Performance Based Acquisition
Yes
Commercial Item Acquisition
Commercial Item
Simplified Procedures for Commercial Items
No
Other Categorizations
Subcontracting Plan
Plan Not Required
Cost Accounting Standards
Exempt
Business Size Determination
Small Business
Defense Program
None
DoD Claimant Code
None
IT Commercial Item Category
Not Applicable
Awardee UEI
CCWJYZ99TWK5
Awardee CAGE
8H4E7
Agency Detail
Awarding Office
FA8649 FA8649 USAF SBIR STTR CNTRCTNG AFRL
Funding Office
F4FBEQ
Created By
michael.vaughan.7@us.af.mil
Last Modified By
dod_closeout
Approved By
anthony.geissler.fa8075@offutt.af.mil
Legislative
Legislative Mandates
None Applicable
Performance District
MA-05
Senators
Edward Markey
Elizabeth Warren
Elizabeth Warren
Representative
Katherine Clark
Modified: 3/4/25