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ARTICULATE.AI INC.

Company Details

Name: ARTICULATE.AI INC.
Jurisdiction: New York
Legal type: DOMESTIC BUSINESS CORPORATION
Status: Inactive
Date of registration: 08 Jul 2021 (4 years ago)
Date of dissolution: 10 Mar 2025
Entity Number: 6215198
ZIP code: 10027
County: New York
Place of Formation: New York
Address: 110 Morningside Dr. #49, New York, NY, United States, 10027

Shares Details

Shares issued 200

Share Par Value 0

Type NO PAR VALUE

DOS Process Agent

Name Role Address
Zhou Yu DOS Process Agent 110 Morningside Dr. #49, New York, NY, United States, 10027

U.S. Small Business Administration Profile

The U.S. Small Business Administration (SBA) helps Americans start, grow, and build resilient businesses.

Note: SBA was created in 1953 as an independent agency of the federal government to aid, counsel, assist and protect the interests of small business concerns; preserve free competitive enterprise; and maintain and strengthen the overall economy of our nation. SBA reviews Congressional and testifies on behalf of small businesses. It assesses the impact of regulatory burden on small businesses.

Phone Number:
E-mail Address:
Contact Person:
ZHOU YU
Ownership and Self-Certifications:
Asian Pacific American, Self-Certified Small Disadvantaged Business, Women-Owned Small Business, Woman Owned
User ID:
P2815447

Unique Entity ID

A UEI is a government-provided number, like a tax ID number, that’s used to identify businesses eligible for federal grants, awards and contracts.

Note: In April 2022, the federal government replaced its old identifier of choice, the Data Universal Numbering System (DUNS) number, with a government-issued UEI. Now all the federal government’s Integrated Award Environment systems use UEI numbers instead of DUNS numbers. So any entity doing business with the federal government must register for a UEI.

Unique Entity ID:
R9THA4BEZVF6
CAGE Code:
978S2
UEI Expiration Date:
2025-11-21

Business Information

Division Name:
ARTICULATE.AI INC
Activation Date:
2024-11-25
Initial Registration Date:
2021-09-02

Filings

Filing Number Date Filed Type Effective Date
250310001572 2025-03-10 CERTIFICATE OF MERGER 2025-03-10
210708002911 2021-07-08 CERTIFICATE OF INCORPORATION 2021-07-08

USAspending Awards / Financial Assistance

Date:
2023-03-07
Awarding Agency Name:
National Science Foundation
Transaction Description:
SBIR PHASE I: ADAPTIVE DIALOG SYSTEMS AS SECOND LANGUAGE LEARNING PARTNERS -THE BROADER IMPACT OF THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE I PROJECT CENTERS ON OFFERING A LOWER-COST, MORE ACCESSIBLE ALTERNATIVE TO HELP PEOPLE EVERYWHERE LEARN TO SPEAK A NEW LANGUAGE. BY USING STATE-OF-THE-ART CONVERSATIONAL ARTIFICIAL INTELLIGENCE (AI), THE PROJECT OFFERS STUDENTS INDIVIDUALIZED, CURRICULUM-BASED LEARNING THAT IS AFFORDABLE AND ACCESSIBLE 24 HOURS A DAY, WITH NO LIMITS ON THE AMOUNT OF TIME THEY CAN PRACTICE. ADDITIONALLY, THE AI SYSTEM WILL BE ABLE TO ANALYZE LEARNERS? SPEECH TO OFFER SUGGESTIONS ON WAYS TO IMPROVE THEIR GRAMMAR AND CONVERSATIONAL FLUENCY, IN MUCH THE SAME WAY A TRAINED TUTOR WOULD ASSIST A STUDENT. THE PROJECT BRINGS CONVERSATIONAL AI TO THE LANGUAGE LEARNING MARKET, ENABLING A MORE EFFECTIVE, ENTERTAINING, AND LOW-COST PRODUCT TO TRANSFORM THE CURRENT LANGUAGE LEARNING PARADIGM. THIS SMALL BUSINESS INNOVATION RESEARCH (SBIR) PHASE I PROJECT IS AN INNOVATIVE INTEGRATION EFFORT TO COMBINE STATE-OF-THE-ART AI TECHNOLOGIES FOR EDUCATION APPLICATIONS. THE PROJECT WILL CONTRIBUTE NEW USER-ADAPTIVE ALGORITHMS AND DATASETS FOR DIALOG POLICY TRAINING ON LANGUAGE LEARNING TASKS. THE PROJECT WILL CONTRIBUTE TO THE COMPANY?S OPEN-SOURCE, MULTIMODAL, DIALOG SYSTEM FRAMEWORK TO ENABLE THE DIALOG COMMUNITY TO REDUCE THE ENTRY BARRIER FOR MULTIMODAL DIALOG SYSTEM RESEARCH. THE PROJECT WILL ALSO PROVIDE THE COMMUNITY WITH AN ANNOTATED CONVERSATIONAL DATASET FOR GRAMMATICAL ERROR CORRECTION ALONG WITH A TRAINED GRAMMAR CORRECTION MODEL AND GRAMMAR ERROR TYPE DETECTOR. THE DEVELOPED EDUCATIONAL DIALOG SYSTEMS FOR SECOND LANGUAGE COMMUNICATION LEARNING CAN ALSO SERVE AS A GENERAL FRAMEWORK FOR EDUCATION EXPERTS TO TEST DIFFERENT LEARNING THEORIES. THIS PROJECT WILL ALSO EXPLORE HYPOTHESES OF WHETHER ADAPTIVE CONVERSATION EXPERIENCE AND DIFFERENT FEEDBACK STRUCTURES WILL IMPACT LEARNER CONFIDENCE AND LEARNING GAIN. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.
Obligated Amount:
256000.00
Face Value Of Loan:
0.00
Total Face Value Of Loan:
0.00

Date of last update: 22 Mar 2025

Sources: New York Secretary of State