Unleashing the Power of Sqwish: A Game-Changer in GenAI Performance and Cost Efficiency

Welcome to this week’s edition of the Cambridge Tech Podcast, where we delve into the latest happenings in the tech world, right from the heart of the UK’s tech capital. This episode is packed with exciting news and an inspiring interview with the co-founders of Sqwish, Ushnish Sengupta and Federica Freddi. Here’s a quick rundown of what we covered.

Weekly Tech News Highlights

Universal Studios in Bedford: Big news for the region as Bedford is announced as the new home for Universal Studios, promising to boost the local economy and enhance the quality of life in the area.
Bango and Telenet Partnership: Bango has teamed up with Belgium's Telenet to simplify subscription management for its users, allowing for seamless access to entertainment options.
ARM's Global Silicon Startups Contest: ARM is running a contest with a closing date of April 25th, offering substantial prizes and access to their ecosystem for startups.
Quantinuum's DARPA Selection: Cambridge's own Quantinuum has been chosen by DARPA for their Quantum Benchmarking Initiative, aiming to assess the feasibility of building a practical quantum computer by 2033.

Interview with Ushnish Sengupta and Federica Freddi from Sqwish

In the second part of the episode, we had the pleasure of speaking with Ushnish and Federica, who shared their journey and the innovative solutions Sqwish is bringing to the AI landscape. Here are some key takeaways:

Backgrounds and Inspiration:

Ushnish, originally from Kolkata, India, has always been passionate about technology, leading him to pursue a PhD in Cambridge.
Federica, hailing from Italy, has an entrepreneurial spirit that shone through even in her childhood, leading her to negotiate and resell toys.

The Birth of Sqwish:

The duo met while working at MediaTek and quickly realised their shared vision for optimising AI applications. They identified a pressing need for efficiency in AI, particularly in managing costs and performance.

What Does Sqwish Do?:

Sqwish aims to be the "efficiency layer" for AI, helping developers optimise their applications by reducing costs and latency without sacrificing performance. Their first product, an input compressor, can reduce input size by up to 10 times, ensuring faster and cheaper responses from AI models.

Vision for the Future:

Ushnish and Federica envision a suite of tools that will further enhance AI efficiency, including smart routing and output compression, all designed to help developers focus on what they do best.

Key Quotes from the Episode

Ushnish: “We want to help developers speed up their apps and spend less on GenAI and build more with less.”
Federica: “We are very eager to learn what your pain points are and work with you to make Sqwish amazing for your company.”

Why You Should Tune In

This episode is a treasure trove of insights for anyone involved in the tech industry, especially those in AI and startup ecosystems. Ushnish and Federica’s journey from employees to entrepreneurs is not only inspiring but also highlights the importance of collaboration and innovation in tech.

Don’t miss out! Listen to the full episode to dive deeper into their vision and learn how Sqwish is set to revolutionise the AI landscape. Subscribe to the Cambridge Tech Podcast for more exciting discussions and updates from the tech world.

Join us next time as we continue to explore the innovations shaping our future!