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Torch.AI Wins Defense Innovation Award For Supply Chain Solutions

October 6, 2017
Announcements

Tampa Bay, Florida

Torch.AI, a leading provider of augmented intelligence platforms for the Fortune 500 and Federal Government, is proud to announce its selection as a 2017 DefenseTechConnect Innovation Award Winner.

Torch competed with an international field of high technology firms selected for the Defense Innovation Summit (DITAC). The company was ranked on the potential positive impact Torch applications have for the warfighter and national security. Torch’s increasing success has been a result of being laser focused on enabling a modular ecosystem approach that accommodates users, systems, and process. But our broad collective experience spans mission critical commercial enterprise and public sector deployments including the military’s research arm, DARPA.

Torch is a software platform that handles massive datasets making unbelievably complex problems solvable through network or information centric entity intelligence.


“We believe firmly we can make this world a better place by enabling the people out there working hard solving real problems. It is great for our associates to get recognition like this from esteemed organizations like DITAC.”

- Brian Weaver, CEO at Torch.AI



Torch joined another local firm at the Summit, National Nuclear Security Administration’s Kansas City National Security Campus, operated by Honeywell. KCNSC is responsible for manufacturing and procuring nonnuclear components for nuclear weapons, including electronic, mechanical, and engineered material components.

About DITAC

Defense Innovation Challenges brings together experts from the military, government, and technology industry to deliver transformational solutions for our national defense. Additional information about the event and Defense Innovation can be found at https://defenseinnovation.us/CSTC.html.

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Torch is a reasoning infrastructure company.

We design and deploy complete, mission-ready capabilities that transform fragmented, multi- source data into coherent understanding at machine speed.

By building ahead of need and delivering off the shelf, we compress the path from idea to operational impact from years to weeks.

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