Unbox Robotics exists to enable logistics players to automate and radically improve their operations on-demand using limited
footprint and capital.

Although the number of parcel deliveries and their delivery locations are growing exponentially, existing parcel sorting systems are difficult to scale-up/down, require huge area, money & installation time. To solve this, Unbox is building an AI-powered Parcel Sorting solution with a swarm of robots that get installed at-least 10X faster in less than 50% of the space required by existing solutions. Swarm Intelligence, ML enabled Intelligent Maps and the overall system improve the robot productivity & reduce the CAPEX by ~40% to 70%. The solution has an international patent pending.

They won India Innovation Growth Program 2.0 (backed by Govt. of India, Tata Trusts, and Lockheed Martin) amongst 2000+
startups in India in 2019. They were also selected by the UK’s Royal Academy of Engineering for Leaders in Innovation Fellowship program in London. They are working with players such as Flipkart, Ecom Express, Xpressbees, Delhivery in India with several players such as FedEx, DHL from SE Asia and the US in the pipeline. They have raised seed funding from EF, SOSV, Arali Ventures, CIIE and several marquee angels.

Pramod Ghadge has worked in e-commerce logistics & manufacturing across multiple countries. Previously, he worked at Flipkart, where he led several warehouse automation projects and introduced India’s first robot-based package sorting solution. He has a master’s degree in Industrial & Systems Engineering from NUS.

Shahid Memon has worked in the fields of AI and Robotics and has built a robotics startup before. He has international experience through patents and research papers in the areas of Multi-Robot System and Swarm Intelligence. He holds a master’s degree in Autonomous Robotics Engineering from the University of York.

Unitary makes the internet safer with AI that can interpret a video’s context. Video is exploding: over 500 hours are uploaded every minute. Current AI is inadequate to pick out those videos that are extremely damaging, so social networks employ armies of moderators to filter through them. Unsurprisingly, repeated exposure to disturbing footage leaves thousands with PTSD. And still the original problem is not solved.

New EU law is about to force platforms to take responsibility for harmful content. It is time for a better solution. We have developed a novel approach, using a graph-based technology that is born out of a unique alignment of our skillsets.

Sasha Haco came top of her year in astrophysics at the University of Cam-
bridge. She went on to do a PhD, working with Stephen Hawking on black hole information. She spent a year as a visiting fellow at Harvard, then started a software startup that went through the Pioneer program and came in the top 1%.

James Thewlis has a PhD in computer vision from the University of Oxford’s
Visual Geometry Group (VGG). He was brought in-house at Facebook to work on AI in videos, and also worked in AdTech, using computer vision for enhancing video understanding. He has published at all major conferences in this field.

The future of computing will be deep learning. From autonomous cars, to cancer detection, this technology will forever change the way our world works. In order to achieve this future, companies spend millions annually preparing data to train algorithms.

UpStride is rethinking the foundations of computing for the deep learning revolution. Our API boosts performance in computer vision. It can train models with 10x less data, improve accuracy and decrease energy usage by up to 2x.

We are working with a leading automobile manufacturer and discussing further deployments in defense and healthcare.

GARY ROTH
Gary brings a decade of experience advising C-level boards in the tech industry at McKinsey & Company and leading the strategy and transformation department at eFront in the buildup to their $1.3 billion acquisition. Gary holds masters degrees in CS from Telecom Paris and in Economics from the LSE.

WILDER LOPES
Wilder holds a PhD in ML from USP in Brazil and TUM in Germany. His experience includes leading projects at Thales, building ML systems for nano-satellites, robot navigation, and developing his very own deep-learning framework. He’s authored 7 papers in the prestigious IEEE publications.

Venture L is the first operating system built exclusively for freelancers. Think Shopify for freelancers.

Today’s top talent is leaving companies to work for themselves. Yet the tools haven’t caught up, and freelancers are stuck with an infrastructure that doesn’t scale.

No one understands this better than Venture L. By integrating a freelancer’s unique requirements into one personalized platform, Venture L freelancers save time, make more money, and scale the freelance economy.

Matthew Mottola is a leading voice in the freelance economy. Most recently at Microsoft, in joint partnership with Upwork, he built the Microsoft 365 freelancer toolkit. He keynotes across leading conferences, advises public investors and freelance platforms, and published The Human Cloud with Harper Collins in July 2020.

Ricardo Sancho is a computer and data engineer that has built and scaled complex systems from startup to enterprise settings. At Bloomberg he re-engineered the contact management system and while at Cloudflare he worked on a data pipeline processing 6 million requests/second.

Volt14 is developing breakthrough battery materials which will double the energy stored per charge in lithium-ion battery cells, while keeping the size of the batteries unchanged. This profoundly impacts energy storage across verticals- with a 50% reduction in energy storage costs for electric vehicles (EVs) and batteries which are 40% thinner for mobile electronics. Furthermore, Volt14 materials can be used to make batteries with no required change in existing production lines and which will work in all existing and future platforms using lithium ion batteries.

Arindam Haldar

Dr Adam Haldar has a PhD in Chemical Engineering from the Hong Kong University of Science and Technology (HKUST), and is the inventor of Volt14’s proprietary material. He brings over 12 years of research experience in energy materials.

Animesh Kumar Jha

Animesh Jha has a degree in Mechanical Engineering from HKUST, and has worked extensively with developing novel nanomaterials and nanomanufacturing methods.

Waste collection is a critical service that every city needs to run daily. But its planning is often done manually, and consequently, collectors may choose inappropriate technologies, longer routes, or simply leave waste uncollected.

Waste Labs runs a proprietary AI platform that enables waste collectors and cities to analyse and improve their collection system. By creating a digital twin of the system, the platform highlights inefficiencies, and suggests improvements, helping to reduce collection costs by 10% – 40%.

The company already counts a global waste collector among their clients.

Vladimir Chuchkin spent 12 years in Business Development across large international Tech and Energy companies. He has worked closely with governments in Asia, Middle East and Africa. He originated and structured Energy and Power Generation projects that are worth over US$10 billion, including those in the waste-to-energy sector.

Dr Elias Willemse is an expert in optimisation modelling and spent 12 years developing AI to optimise waste collection. He holds a PhD in Industrial Engineering, initiated and led funded projects in waste management, and worked with large institutions such as WorleyParsons, OXFAM and the Housing Development Board in Singapore.