The Semiconductor Revolution: Powering Our Digital Age

Global Semiconductor Industry: Navigating Unprecedented Challenges and the Ripple Effect on Multiple Sectors

Deep dive into the essentials of an effective deep tech pitch deck.

Pitch deck best practices for deep tech entrepreneurs.

The potental that Generative AI has for enterprises is felt across markets. It has shown capable of automating intricate tasks, streamlining workflows and facilitating accessible data-driven decision-making.

The following gallery provides a window into a selection of Generative AI use-cases for enterprises.

If asked to name the most important factor that leads an early-stage startup to success, most investors would name something that relates to the qualities of the founders. Many search for evidence of product-market fit, but what moves an idea forward is a lasting founder-market fit.

The determination of whether a founder him or herself has founder-market fit is relatively straightforward, assuming previous experience is a match to current endeavors, but how about assessing the collective founding team?

The integration of artificial intelligence in manufacturing is a logical step forward for companies that wish to compete in an environment of rapidly evolving technological advancements. Merging a mostly tangible process with adaptive software propels production to new heights through an assortment of performance upgrades or efficiencies.

Yesterday, we published a visual post on the benefits of attaining a first-mover advantage. Today, we present a full article displaying a few case studies that demonstrate each advantage in more detail.

The race to be the first to market often carries a magnitude of importance that extends beyond the initial product launch. For startups focused on disruptive technologies, attaining a first-mover advantage can be a strategic imperative that significantly shapes long-term success. While the concept of a first-mover advantage is well-known, it isn’t always clear what the advantage is.

The following gallery goes into the details of what founders can expect to gain if they successfully attain a first-mover advantage.

DeepTech refers to technologies that are based on scientific breakthroughs and advanced engineering. It involves cutting-edge innovations that push the boundaries of what is currently possible and often require significant expertise in scientific disciplines like artificial intelligence, biotechnology, quantum computing, nanotechnology, and more. These solutions are characterized by their potential to create transformative impact and drive fundamental changes across various industries and aspects of human life. They are at the forefront of scientific and technological advancements, and they have the potential to shape the future of society and drive progress in previously uncharted territories.

In the following gallery, we display a comprehensive visual map of some of the companies operating within each deep tech sub-category.

Yesterday, we discussed the emergence of generative AI, suggesting different approaches in how founders and investors alike could be prudent when growing or reviewing an AI startup.

Today, in the following gallery, we present a more detailed view of the approaches, which includes how to harness good approaches while also mitigating potential missteps.

In recent years, the field of artificial intelligence has witnessed a remarkable resurgence in interest and investment, but specifically in a new subcategory called generative AI. This technology, once overshadowed by more prominent deep learning and reinforcement learning approaches, has been propelled back into the limelight due to its unparalleled ability to produce novel, creative, and human-like outputs. As investors seek out groundbreaking technologies with revolutionary potential, generative AI startups have become a prime candidates for growth in an otherwise tepid market environment, sparking a wave of investment in the ever-evolving landscape of AI-driven startups.

From measuring research and development milestones to ensuring robust security and customer engagement, KPIs play a pivotal role in steering deep tech startup investors towards properly identifying groundbreaking solutions with a transformative impact.

The following gallery is a quick overview of a few regularly used deep tech KPIs to help with due diligence.

Founders are no strangers to the art of adaptability, where the ability to pivot becomes paramount. While staying committed to an original vision is essential, there are instances when strategic course corrections can make all the difference between success and failure.

The photonics industry comprises of LEDs, lasers, discrete optics, optical communication, and sensor components. These subcategories play a pivotal role in driving technological advancements and finding applications in diverse fields, including lighting, medical procedures, telecommunications, imaging, sensing, and data communications.

In the following gallery, we display a comprehensive visual map of the main companies operating within each market sub-category, the top performing companies by revenue, and a breakdown of sub-category growth projections.

Few industries are held to continuously evolving standards than semiconductors, where enterprises compete to engineer incremental improvements across the manufacturing lifecycle, from chip design to assembly. Today, the emergence of photonics technology applied across the chip fabrication process is quickly proving to be an inflection point towards unlocking new targets for performance.

Earlier this week, we discussed the recent interest amongst investors in augmented reality, detailing a breakdown of the technological components that allow these devices to function.

Today, in the following gallery, we present a list of the major components found within every augmented reality headset, along with their role and importance.

Apple recently released the Vision Pro, a mixed reality headset that appeared to reignite interest in AR/VR amongst investors. The trajectory of the Vision Pro is up for grabs, with most of the attention from investors going towards where the finished product can foreseeably best apply in the consumer or business markets. But what about the underlying technology that appears within?