Who Should Apply
Early-stage ventures seeking an opportunity to expand into the federal market based on their technologies that have been developed for commercial applications. Specifically, companies working across sectors including:
- Smart Cities / Urban Tech
- Industrial Automation & Manufacturing
- Logistics & Supply Chain Management
Investment & Exposure
- Total grant funding pool up to $200K for participating companies to support prototyping and pilot development; no equity taken
- Access to Newlab and Decisive Point’s investor network
- Exposure to additional federal and corporate partners and programs
Build & Pilot
- Work with Newlab, Decisive Point and AFRL to scale your product and business in-line with established federal procurement opportunities
- Bespoke defense curriculum to support customer discovery, uncover technology requirements, meet compliance requirements, and move forward in acquisitions
- Access to $5M in on-site prototyping resources and product realization team; 84,000 sq ft industrial work space, private 5G network and compute testbed infrastructure in the 300-acre Brooklyn Navy Yard
Community & Space
- Access to the Newlab flagship location and peer community of 170+ companies scaling transformative technology
- Engage leading industry, venture, and academic experts through curated roundtables and meetings
The application period for the 2021 NSIN Propel cohort is now closed.
28 APR 2021: Open Call Info Sessions
13 MAY 2021: Open Call Info Sessions
END OF MAY 2021: Finalists Notified
SEPT 2021: Demo Day
SEPT 2021 – FEB 2022: Follow-on Support
Areas of Focus
- Leveraging sensing capabilities to augment the operational picture, increase situational awareness, inform planning and decision-making. Smart cities applications and technologies built specifically for urban environments are of high interest.
- New mechanisms to establish reliable, fast, secure connectivity in dense urban environments and enable intelligence at the edge. Advances in 5G and applications in industrial automation and manufacturing are relevant.
- Automating dangerous or repetitive tasks, augmenting, and extending human capability, enabling surrogate swarm operations, and anomaly detection. Developing user trust with explainability of autonomous decision making, and designing human-in-the-loop systems and related interfaces.
Data Fusion & Analytics
- The above categories may include both hardware and software technologies. Underlying the topics will be a focus on data fusion and analytics to automate, train and customize systems that support, inform and enable human operators and decision makers.