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This document contains a request for information and notice of intent to sole source for an adaptive e-learning software platform. The Department of Veterans Affairs is seeking a cloud-based, FedRAMP certified cognitive e-learning platform that has been tested and validated against existing VA learning systems. The platform must provide comprehensive data collection, storage, and reporting capabilities to assist managers in improving clinical outcomes. Key requirements include learner and author licenses providing access to safety, medical, compliance and other training topics accessible 24/7 through the VA training system. The notice states the intent to negotiate a sole source contract with Knowledge Factor, Inc. for their Amplifire platform, as it is the only solution that meets these requirements. Responses to the RFI are due by April 10, 2023 while responses to the sole source notice are due by March 16, 2023. The contract would be awarded under FAR Part 13 simplified procedures for commercial items.

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Other files attached to 7A21--CONTRACT | Adaptive Learning Software Licenses | 36C10B23Q0169 | VA-23-00052174, newest first.
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DRAFT_PD_Adaptive Learning Software Licenses.pdf PDF
36C10B23Q0169.docx DOCX document

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Amendment to a Previous Combined Solicitation

Amendment to a Previous Combined Solicitation

SUBJECT*
CONTRACT | Adaptive Learning Software Licenses | 36C10B23Q0169 | VA-23-00052174

GENERAL INFORMATION

CONTRACTING OFFICE’S ZIP CODE*
07724
SOLICITATION NUMBER*
36C10B23Q0169
RESPONSE DATE/TIME/ZONE
04-10-2023 10 :00 EASTERN TIME, NEW YORK, USA
ARCHIVE
15 DAYS AFTER THE RESPONSE DATE
RECOVERY ACT FUNDS
N

SET-ASIDE

PRODUCT SERVICE CODE*
7A21
NAICS CODE*
513210
CONTRACTING OFFICE ADDRESS
Department of Veterans Affairs

Technology Acquisition Center

23 Christopher Way Eatontown NJ 07724

POINT OF CONTACT*

Contract Specialist William Waterhouse William.Waterhouse@va.gov 848-377-5097

PLACE OF PERFORMANCE

ADDRESS

POSTAL CODE

COUNTRY

ADDITIONAL INFORMATION

AGENCY’S URL

URL DESCRIPTION

AGENCY CONTACT’S EMAIL ADDRESS

EMAIL DESCRIPTION

DESCRIPTION

This Request for Information (RFI) is issued for information and planning purposes only and does not constitute a solicitation nor does it restrict the Government as to the ultimate acquisition approach. In accordance with Federal Acquisition Regulation 15.201(e), responses to this notice are not offers and cannot be accepted by the Government to form a binding contract. The purpose of this RFI is to obtain market information on capable sources of supply, industry practices, and input specific to the information provided. The Government is not responsible for any cost incurred by industry in furnishing this information. All costs associated with responding to this RFI will be solely at the interested party’s expense. Not responding to this RFI does not preclude participation in any future Solicitation, if any is issued. Any information submitted by respondents to this RFI is strictly voluntary. All submissions become Government property and will not be returned. The Department of Veterans Affairs (VA) is not, at this time, seeking proposals or quotes, and therefore, will not accept, review, or evaluate unsolicited proposals or quotes received in response hereto. The information provided may be used by VA in developing its acquisition strategy and Performance Work Statement (PWS) or Product Description (PD). Interested parties are responsible for adequately marking proprietary, restricted, or competition sensitive information contained in their response. Product information, brochures, part numbers, and/or other description information may be included with the submission. VA is under no obligation to provide feedback to the RFI respondent, or to contact the RFI respondent for clarification of any information submitted as part of the response. VA is issuing this RFI to identify providers of an adaptive e-learning software platform that can satisfy the requirements as stated below and on the attached, plus be cloud-based and Federal Risk and Authorization Management Program certified.

The e-learning platform shall provide comprehensive data collection, storage, and reporting capabilities to assist managers and leadership in strategic planning and resource management to improve clinical outcomes. The software platform must be a scalable tool that corrects learners’ misinformation and uncertainty. Benefits to the agency are improved clinical outcomes through professional education, courses utilized in place of existing competency assessments to eliminate duplicate work, administers both initial and ongoing education to assure information retention and confidence of staff, and the ability to integrate with the Talent Management System (TMS). The adaptive e-learning software platform must demonstrate that it has been tested and validated against existing Institute for Learning, Education, and Development (LEAD) Veterans Health Administration(VHA) Systems to include ILEAD Learning product design and development processes, certification of Section 508 accessibility standards, implementation through the TMS and data acquisition processes to support ongoing evaluation and reporting. Please see the attached DRAFT PD titled “Adaptive Learning Software Licenses” for additional requirements.

Please also provide the following information with your response:

1)Product/Platform Name
2)Company Name
3)CAGE/UEI Number
4)Company Address
5)Point of contact name
6)Telephone number
7)Email address
8)For small business concerns, indicate whether at least 50 percent of the total amount paid by

the Government will be paid to firms that are similarly situated.

BE ADVISED: All entities doing business with the United States Federal Government MUST have an active registration in the System for Award Management website SAM.gov

Responses to this RFI are due by the time / date indicated and addressed to William Waterhouse at William.Waterhouse@va.gov See attached document: DRAFT_PD_Adaptive Learning Software Licenses.

*= Required Field
Amendment to a Previous Combined Solicitation

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Amendment to a Previous Combined Solicitation

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