Deep Technology: Definition, Use Cases & Perspectives. Part 2

Explain the phenomenon of deep tech, the core features of deep tech companies, and basic use cases of deep tech across different scopes.

What Are the Examples of Deep Tech Enterprises & Startups?

  • BorderPass (Malaysia) — an intelligent management project that leverages biometric data to enable automated and secure solutions for airports (check-in, boarding, etc). This venture has already been implemented across the market and is currently at the scaling-up stage.
  • ViSenze (Singapore) — the world’s smartest product discovery platform that empowers visual search and image processing tools for online retailers across diverse fields. So far, the startup has raised over $34 million in Series C (2019) and intensively invested in partnership development with smartphone makers including Samsung, LG, and Huawei.
  • Beit (EU) — a quantum computing software company that is targeted at developing and implementing novel quantum algorithms to create versatile and powerful software solutions for quantum computers.
  • Helix (US) — a population genomics company with a core focus on empowering every person to improve their health outcomes and life through DNA. In other words, it enables healthcare organizations to accelerate the integration of genomic data into patient care and public health decision-making.
  • Fundbox (US) — an AI-powered financial platform for small and mid-sized businesses that offer fast and intuitive access to business credit up to $150,000. Currently, Fundbox has enabled over 70,000 enterprises to launch successful and profitable businesses across a wide range of industries.

Basic Use Cases for Deep Tech

Life Sciences

  • Cancer treatment
  • AI diagnosis
  • Consistent health indicators tracking
  • Patient health information management
  • Personalized treatment

Processing & Computing

Food & AgriTech

Energy & Clean-Tech


What are the Challenges for Deep Tech Today & in the Future?

  • Difficulties in scaling up — mainly due to the limited budget and a vast number of development resources required;
  • The need to push science boundaries — unlike the standard tech-based companies, deep tech enterprises are targeted at making a revolutionary breakthrough while addressing acute, large-scale challenges and issues;
  • The need for reimagination — finding the best model to reshape processes or solve particular problems.




CEO & Founder at Jelvix | Digital Leader| Innovation Expert | www.jelvix.com

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