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About Us

At Skylark Labs, we pioneer embodied artificial intelligence that seamlessly integrates into every physical device, evolving into true general intelligence. Our mission is to transform the world by creating adaptive systems that empower innovation, enhance safety, and redefine connectivity for a smarter, more sustainable future.

Vision Statement

To revolutionize artificial intelligence as a boundless, embodied, and self-evolving force capable of transcending limitations, adapting to the unknown, and redefining the fabric of human progress.

We envision a future where AI achieves true general intelligence, embedded across every physical device to create a unified network of superintelligence. This AI will drive unparalleled innovation, empower humanity to overcome its greatest challenges, and unlock a new era of safety, efficiency, and prosperity, fundamentally transforming how we live, work, and thrive across the universe.

Mission Statement

To pioneer the creation of embodied, brain-inspired artificial intelligence that evolves autonomously to meet any challenge, learns and refines itself in real time, and unlocks the limitless potential of true general intelligence.

By integrating seamlessly into physical devices and sharing knowledge across domains and tasks, we strive to create transformative systems that push the boundaries of superintelligence, empowering humanity to achieve unprecedented safety, efficiency, and interconnectedness on a global scale.

Founder & his Vision Dr. Amarjot Singh

Dr. Amarjot Singh, founder and CEO of Skylark Labs, is a leader pioneering brain-inspired, adaptive AI systems that evolve into true general intelligence. His journey began in India, inspired by his military family background, and extended through global contributions to defense technology. With a Bachelor's in Engineering (2007–2011) and groundbreaking research at the National University of Singapore (2012) and the University of Cambridge (Ph.D., 2015–2018), Singh specialized in computationally efficient AI systems.

After applying AI to rescue 13 children in India (2018–2019), he advanced his work in lifelong learning AI as a postdoctoral researcher at Stanford University (2019–2021) under DARPA's Lifelong Learning Machines program. In 2021, Singh founded Skylark Labs, developing self-learning AI systems that integrate seamlessly into physical devices, pushing the boundaries of safety, security, and superintelligence globally.

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How Skylark Labs Started

PhD Research:
Brain Inspired AI for Security Applications

Singh focused on creating AI capable of operating on edge devices like drones and cameras. To achieve this, he studied brain mechanisms at Harvard, MIT, and Brown University, leading to the development of a data and computationally efficient AI, ScatterNet Hybrid Deep Networks. This AI was applied to drones and cameras, tackling safety and security challenges like violence detection in crowded places and Disguised Face Recognition. His work garnered international recognition, including features in media outlets like BBC and on the cover of The Economist.

Real-world Impact:
Rescued 13 Children using AI

After completing his doctorate, Singh dedicated himself to making a tangible difference in society, focusing on improving safety for its most vulnerable members. He developed software aimed at rescuing trafficked children from brothels in India. This software has aided GURIA India in rescuing 13 minor girls to date. This project, having a significant real-world impact and holding personal importance to Singh, led to his recognition in the MIT 35 under 35 list.

Next-Gen AI at Stanford funded by DARPA

Dr. Singh's experience in defense revealed that AI often struggles with unforeseen scenarios, highlighting narrow AI's limitations. This led him to Stanford's DARPA Lifelong Learning Machines program, where he developed self-learning AI that evolves on the edge, adapting to new and unknown threats. This AI provides early warnings, enhancing safety and security, reducing costs, and minimizing operational disruptions, thus overcoming conventional AI's challenges in dynamic environments.

Founded Skylark Labs to Commercialize Self-learning AI

After Dr. Singh’s tenure at Stanford, I founded Skylark Labs to create a commercial version of self-learning AI. The startup, registered in the US, began its technological development in India, starting in the incubation center of the university where I completed my bachelor's degree, initially with 10 dedicated interns. Over two years, Skylark Labs has expanded to a team of 70, spanning three offices in the US, India, and Australia, gathering most of our team across these locations.

Our executive
leadership team

Our international executive team unites a wealth of experience spanning diverse industries and global markets, blending a robust skill set with leadership expertise drawn from government, intelligence communities, and high-growth technology sectors. With a proven track record in building and scaling successful organizations, the team drives Skylark Labs' business strategy and technology vision, ensuring innovation and excellence at every step.

Technical Advisory Board

Our technical advisory board, consisting of specialists in automation, AI, and computer vision, informs us about the technical challenges in developing defense products.

Financial Advisory Board

Our financial advisory board, consisting of specialists in finance, economics, and venture capital, advises us on a financial roadmap including strategies and challenges in M&A, IPO, and other VC-related aspects.

Investor

We have a strong group of investors, including venture capital firms and family offices, supporting our endeavors.