forbes-under-30

(3)
Company
Futurely
Education · Saas · Consumer

Futurely

Futurely is a Milan-based edtech startup that builds a digital orientation pathway to help middle and high school students figure out what to study - and who to become - before they pick a university. Founded in 2019 by two Politecnico di Milano engineers who went on to MIT and Harvard, the platform mixes self-assessment, gamified courses, expert sessions and one-on-one mentorship to cut university dropout rates and the mismatch between young people and the jobs they end up in. It reaches students through schools, corporate welfare programs and directly, and raised $1.5M in 2021 from Italian Angels for Growth, Angels4Women and notable tech angels.

futurely · myfuturelyRead →
Legend
Anirudh Joshi
Founder · Executive · Engineer

Anirudh Joshi

Anirudh Joshi is the co-founder and CEO of Valar Labs, a Palo Alto-based AI oncology company building tools that let doctors predict whether a specific cancer treatment will work before a patient wastes months on the wrong one. A biomedical engineer trained at Georgia Tech and Stanford, he previously built AI at Microsoft, PathAI, and Curai before co-founding Valar in 2021 with teammates from Stanford's AI in Medicine group. Valar raised $26M total, landing a $22M Series A from Andreessen Horowitz and DCVC in 2024, and its flagship test Vesta — predicting BCG therapy response in bladder cancer — is now live at 20 U.S. hospitals. Named to Forbes 30 Under 30 Healthcare 2025.

ai · oncologyRead →
Legend
Charles Wong
Founder · Executive · Engineer

Charles Wong

Charles Wong is the CEO and Co-Founder of Bifrost AI, a San Francisco-based generative 3D data platform that lets robotics, aerospace, maritime, and industrial teams train and test AI models in hours instead of months. A Forbes 30 Under 30 honoree from Singapore, Wong built Bifrost after working on AI perception models for autonomous vehicles at NuTonomy (an MIT spinout). Bifrost has raised $13.7M in total funding, counts NASA JPL and the U.S. Air Force among its clients, and generates synthetic datasets for some of the world's most demanding physical-world AI challenges - from Mars rover navigation to maritime collision avoidance.

artificial-intelligence · synthetic-dataRead →