Why I Joined Clear Ventures: Disrupting Venture Capital with AI

By Ghita Houir Alami

In my lifetime, I’ve been fortunate enough to develop a strong perspective on technology, culture, and entrepreneurial innovation. I grew up in Morocco and, thus far, have lived on three different continents! However, being here, in the San Francisco Bay Area/Silicon Valley, is a truly exceptional experience for any technologist.

Undoubtedly, this is the best place on earth to be involved in the AI field. While getting my MS in applied mathematics and machine learning from UC Berkeley, I was part of numerous communities focused on frontier technologies and entrepreneurship. Participating in these groups allowed me to meet with people with impressive technical skills and an unrivaled pioneering spirit.

In the past 24 months, I have seen the profound potential of AI in reshaping industries: from healthcare, where AI-driven diagnostics are spotting illnesses with unparalleled accuracy, to finance, with algorithms successfully predicting crowdfunding campaigns’ success. At Clear, I now witness firsthand how AI-driven solutions fuel our venture investment practice and our portfolio companies’ success. Playing a crucial part in our collective efforts around research, tool development, and innovative problem-solving approaches is so exciting.

In joining Clear Ventures as an AI Engineer, I became part of a mighty, fast-paced, and innovative development team, leveraging the latest AI technologies to build our Venture operating system, ClearConnect. That said, I am not just working as a traditional Engineer; this role has allowed me to be part of a team of experienced Venture Capitalists revolutionizing their industry through a unique data-driven approach, participating in diligence calls, reading the latest papers, and delivering value to our companies and LPs.

Clear is truly transforming venture capital through its work on the first AI-powered Venture Capital Operating System. Disrupting traditional manual Venture Capital investors’ workflows, we leverage AI to make sense of vast volumes of data. This approach allows us to make informed internal decisions and keep up with the litany of work spilling out of the country’s best research labs.

I am overjoyed with how the tools we are developing delight the Clear Ventures portfolio management teams. Giving them superpowers to support efforts around hiring, finding customers, and raising additional funding.

This opportunity at Clear Ventures offers me the best possible learning experience following my graduation from Cal Berkeley and Ecole Polytechnique, as it lies at the strategic intersection of VC, product development, AI, and startup incubation. I’m thoroughly impressed by the product Clear has been developing and eagerly anticipate contributing to it. This experience gives me a sneak peek into the world of early-stage venture investment. It is an education on becoming a successful entrepreneur, which I hope to be in the not-so-distant future.

I’m deeply grateful to everyone at Clear who made this opportunity possible, and I feel honored to join such an inspiring team.

About Ghita Houir Alami

Ghita Houir Alami is an AI Engineer at Clear Ventures, where she works on integrating Large Language Models (LLMs) and AI capabilities into ClearConnect; Clear’s proprietary AI-powered venture capital operating system. Ghita is also responsible for helping drive increased access to customers, talent, and access to follow-on financing for Clear portfolio companies.

She developed her deep learning skill set from professional experiences and research projects where she was responsible for building, training, and evaluating vision and language models. Her computer vision knowledge was refined during stints as a researcher at a French startup Milvue, and the University of San Francisco, California (UCSF) Neurology Lab. Ghita’s NLP skills were honed while working on Alter, an LLM-based productivity application company she co-founded.

Her academic journey started with two years in a renowned scientific program in France, after which she was accepted to Ecole Polytechnique, France’s premier university in the fields of science, mathematics, and engineering. At Ecole, Ghita led several strategic initiatives and teams, managing an annual budget of ~one million euros.

Ghita holds a BS and an MS from Ecole Polytechnique in applied mathematics and data science, and an MEng from UC Berkeley, with a specialization in applied mathematics and machine learning.

Ghita has lived in 4 different countries across 3 continents and speaks 5 different languages. When she is not working, she enjoys spending time with her family and friends, reading, and listening to jazz music.