Orchestro.AI is a Dublin, California-based vertical AI startup building an open logistics network that unites carriers, shippers, and service providers under a single AI-driven operating system. Founded in 2023 by supply-chain veteran Shekar Natarajan with co-founders Bhagavathy Krishna and Jim Wrubel, the company is layering a virtue-based platform it calls 'Angelic Intelligence' on top of last-mile delivery to make parcel flow cheaper, smarter, and more humane.
Sanjay Dhawan is the CEO of SymphonyAI, a Palo Alto-based vertical AI software company assembled by entrepreneur Romesh Wadhwani. He spent thirty years moving between operator and founder seats - co-founding Inkra Networks, running Symphony Teleca through its Harman acquisition, leading Cerence from a $500M Nuance spinout to a >$5B market cap, and now scaling SymphonyAI across retail, financial crime, manufacturing, media, and IT operations. He is also Chairperson of Pioneer Corporation and a Senior Advisor at EQT.
Shekhar Natarajan is the Founder and CEO of Orchestro.AI and the inventor of Angelic Intelligence, a framework that embeds ethics directly into AI architecture rather than bolting it on as an afterthought. He grew up in a one-room home in Secunderabad, Hyderabad, arrived in the US with $34, and spent 25+ years scaling supply chains at Walmart, Disney, PepsiCo, Coca-Cola, Target, and American Eagle before founding Orchestro.AI in 2023. He holds 207+ patents, raised $15M in seed funding, and in May 2026 received Oxford's Bodleian Medal for his contributions to AI in the public interest.
Stoyan Kenderov is the Founder and CEO of Wisdom, an AI-powered dental revenue cycle management platform based in New York that has raised $28M in funding. With a 30-year career spanning European internet pioneers, Intuit, LendingClub, and Plastiq, he brings deep fintech product expertise to a $170B dental industry where over $20B in earned revenue goes uncollected annually. A multilingual Bulgarian-born technologist educated at Karlsruhe Institute of Technology, Kenderov built Wisdom around the thesis that vertical AI - trained on proprietary, domain-specific data - can outperform generalist AI in specialized industries.
King Alandy Dy is the CEO and co-founder of Expedock, a San Francisco-based AI platform that automates freight documentation and supply chain data with 99.95% accuracy. A Stanford-trained ML engineer who grew up running his family's cross-border import-export business across Southeast Asia, China, and the Philippines, King built Expedock to replace the mountains of semistructured paperwork that throttle global trade. The company has raised $19.8M, counts Kuehne+Nagel, Maersk, and CMA CGM among its customers, and was recognized on Forbes 30 Under 30 Asia 2023.
Paul Sethi is a Managing Partner and Co-Founder of 2048 Ventures, a New York-based pre-seed and seed venture capital firm he co-founded with Alex Iskold in 2019. With a career spanning hedge funds, operational leadership, and over two decades of early-stage angel investing across 50+ companies - including unicorns like Flexport, SeatGeek, and Notion - Sethi brings rare dual credibility as both operator and investor. He scaled and sold Redbooks (spun out of LexisNexis) for a 10x+ return and co-founded Robuzz, an ML/NLP platform exited in 2022. His firm, which has grown from a $27M Fund I to an oversubscribed $82M Fund III, backs founders building in vertical AI, deep tech, healthcare, and fintech - with a Founder NPS of 100 and a commitment to review every single pitch.
Tiffany Luck is a Partner at NEA (New Enterprise Associates), one of the world's largest and oldest venture capital firms, where she focuses on early-stage investments in AI, APIs, and B2B SaaS. Previously a Partner at GGV Capital (now Notable Capital), she brings deep experience across enterprise software, fintech, and the AI application layer. Tiffany has a rare blend of operating, banking, and investing experience - having worked at Forbes, Amazon, and Morgan Stanley before entering venture. She is known for backing founders obsessed with their problems and for her thesis around vertical AI closing the 'last mile' gap that horizontal LLMs leave wide open.