FA864924P0968
Purchase Order
Overview
Government Description
Dry.Artificial Intelligence - Intelligent Control Center for Artificial Intelligence Sandbox
Awardee
Awarding / Funding Agency
Place of Performance
Austin, TX 78723 United States
Pricing
Fixed Price
Set Aside
Small Business Set Aside - Total (SBA)
Extent Competed
Full And Open Competition After Exclusion Of Sources
Est. Average FTE
4
Related Opportunity
None
Unitary Labs was awarded
Purchase Order FA864924P0968 (FA8649-24-P-0968)
for Dry.Artificial Intelligence - Intelligent Control Center For Artificial Intelligence Sandbox
worth up to $1,249,899
by Air Force Research Laboratory
in August 2024.
The contract
has a duration of 1 year 6 months and
was awarded
through SBIR Topic Direct-to-Phase-II Open Call for Innovative Defense-Related Dual- Purpose Technologies/Solutions with a Clear Air Force Stakeholder Need
with a Small Business Total set aside
with
NAICS 541715 and
PSC AC32
via direct negotiation acquisition procedures with 618 bids received.
SBIR Details
Research Type
Small Business Innovation Research Program (SBIR) Phase II
Title
Dry.ai - Intelligent Control Center for AI Sandbox
Related Solicitation
Abstract
To address the Air Force need to securely integrate advanced Artificial Intelligence (AI) and Machine Learning (ML) platforms, Unitary Labs, Inc. is creating a control center for the Air Education and Training Command (AETC) AI Sandbox that enables AI technologies to be safely tested and refined before impacting existing systems and the Air Force Network. The Dry.ai platform is in direct support of project Voltron Thunderdome that will include the following focus areas: Data Science and Machine Learning Platforms, AI Governance and Operationalization, AI Security and Ethical AI, ATO Acceleration for AI, and Synthetic Data. Dry.ai will act as the user interface, data/model manager, and account security manager. It will have a ChatGPT-like AI assistant that will make many otherwise complex and arduous tasks intuitive and quick. This platform will integrate with a conventional graphical user interface and will be easy to customize and update. Implementing Dry.ai as the AETC AI Sandbox control center will significantly reduce the lead time for platform iterations and empower AETC end users to customize their own user interface through simple commands. Using AI algorithms, Dry.ai will streamline the onboarding, vetting, evaluation, and ATO acceleration of transformative AI and ML platforms.
Research Objective
The goal of phase II is to continue the R&D efforts initiated in Phase I. Funding is based on the results achieved in Phase I and the scientific and technical merit and commercial potential of the project proposed in Phase II.
Topic Code
AFX246-DPCSO1
Agency Tracking Number
F2D-12674
Solicitation Number
X24.6
Contact
Daniel Fang
Status
(Complete)
Last Modified 8/13/24
Period of Performance
8/13/24
Start Date
2/16/26
Current End Date
2/16/26
Potential End Date
Obligations
$1.2M
Total Obligated
$1.2M
Current Award
$1.2M
Potential Award
Award Hierarchy
Purchase Order
FA864924P0968
Subcontracts
Activity Timeline
People
Suggested agency contacts for FA864924P0968
Competition
Number of Bidders
618
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
K5NHJBH9KBQ4
Awardee CAGE
88E00
Agency Detail
Awarding Office
FA8649 FA8649 USAF SBIR STTR CONTRACTING
Funding Office
F4FBEQ
Created By
trey.james.1@us.af.mil
Last Modified By
thomas.shea.3@us.af.mil
Approved By
thomas.shea.3@us.af.mil
Legislative
Legislative Mandates
None Applicable
Performance District
TX-37
Senators
John Cornyn
Ted Cruz
Ted Cruz
Representative
Lloyd Doggett
Modified: 8/13/24