SBIR/STTR Research Award

SBIR Phase I: An Open Source Platform for Intelligent Virtual Assistants

Award identifier ffc721e7751a35081724035bf092d4bd8c0bf5b471c8cb0b90fae94cca38a266Awarding agency National Science Foundation

Award amount

$225,000

Program and phase

SBIR · Phase I

Award year

2016

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Clinc, Inc.
Proposal award date
2016-07-01
Contract end date
2017-06-30
UEI
MDD3JGHCLFK6
Solicitation number
Not reported
Topic code
IT

Research abstract

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will arise from the development and release of the world's first open source Intelligent Virtual Assistant (IVA) platform. The platform will be made available to the world as open source software free of charge, and will be surrounded by a set of commercial offerings that include the deployment and customization of the software as well as software-as-a-service (SaaS) offerings that will allow users of the platform to painlessly create and deploy IVAs. Beyond the commercial applications of IVA technology, the open source release of the platform will help foster a healthy, active open source community around the IVA technology, allowing it to be leveraged as a machine learning research platform and accelerating IVA adoption in important non-commercial settings such as non-profit education and improving technological access for the disabled. This Small Business Innovation Research (SBIR) Phase I project will address the significant computer systems challenges involved in seamlessly orchestrating the massive amounts of computation among complex pipelines of algorithmic components required to power intelligent virtual assistant (IVA) technologies. The computation required to power IVAs is large enough that such software systems will likely run in large datacenter infrastructures comprised of complex ecosystems of different server types and accelerator platforms. This project will address these challenges by building a centralized software mechanism within the IVA platform for monitoring job execution to facilitate efficiently mapping sub-tasks within the IVA computation to the available hardware resources in the datacenter.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2016–2017). Reported award amounts total $975,000. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

Agency intelligence

National Science Foundation

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