Daniel Langkilde
In my heart, I'm a programmer. By training, I'm a mathematician. By profession, I'm an entrepreneur. I'm obsessed with how things work - people, code, strategies, organizations - all of it. I break things down, overthink them, and put them back together better. My edge is that I'm relentlessly hardworking, addicted to learning, and (frequently irrationally) optimistic. I care deeply about building things that last: companies, cultures, and products with compounding advantages.
Professional Bio
Daniel Langkilde is a Swedish entrepreneur and machine learning
expert, known for building high-performance teams at the
frontier of AI. He is the co-founder and CEO of Kognic, the
leading human-in-the-loop platform for sensor-fusion data used
in autonomous systems. Kognic supports some of the world's most
advanced ADAS and autonomy programs, helping machines learn
faster and better from reliable human feedback.
Prior to Kognic, Daniel was early at Recorded Future, where he led the Collection & Analysis team during the
company's formative years. Recorded Future became a global
leader in threat intelligence and was later acquired by
Mastercard in one of Sweden's largest AI exits. Daniel has a
long-standing interest in applied machine learning, automation,
and scalable data infrastructure.
He holds an M.Sc. in Engineering Mathematics from Chalmers University of Technology,
where he served as President of the Student Union and Board
Member of the University. He's been a Visiting Scholar at both
MIT and UC Berkeley, including participating in the prestigious
Research Science Institute (RSI) at MIT early in his academic
career.
Today, he also invests in early-stage teams working on autonomy, robotics, and applied
AI.
Personal Bio
I live in Göteborg with my wife, Louise, our son, Isak, and our daughter, Elin. I've previously lived in San Francisco, Shanghai, and Boston. I'm fluent in Swedish and English, and speak basic Mandarin. When I'm not building companies, I enjoy running, photography, cooking, and hacking on side projects. Most of all, I enjoy learning - from books, from people, and from taking things apart to see what makes them tick.