Companies

Spenny is the Acorns for India. Every time a user make any digital transaction, Spenny rounds off the amount to the nearest 10 INR and invest it for them into a diversified portfolio, automatically.

400M millennials in India don’t invest because they don’t have enough time, knowledge or access to large capital. With Spenny, they just connect the card and invest every time they spend. They’re growing 67% WoW since launch, with 3,000+ users and $15,000 in AUM. Indians put $500Bn into their bank accounts annually. Spenny charges 1.75% average of the AUM for investments. That’s a direct ~$9Bn market in India alone. Their long-term vision is to become a one-stop asset management solution for millennials.

Fish fraud is a $23B USD problem. This stems from an inability to accurately identify fish species in a fast and accurate manner. Spidfier solves this using the latest in nanopore DNA sequencing, providing a comprehensive lab-in-a-box identification solution for all manner of users, from custom officials and regulators to wholesalers and seafood purchasers.

Beyond identification, Spidfier also detects origin and other metrics that allow users to better access the value of their products, increasing their transparency, reducing their costs and improving their products.

Harold Duncan Mollison is an accomplished businessman and marketer, Harold left his successful agency startup in capable hands to tackle the ongoing epidemic of unsustainability and ecological destruction of the world’s seafood trade.

Dr Syed Shakeel Ahmend is a Post Doctorate in Microbiology from Hong Kong University, Dr. Ahmed spent the last 8 years working on bat viruses; including Coronaviruses, with over 12 publications and 200 citations. He now brings his wealth of knowledge in DNA to create the next big leap in sequencing technology

Staple has developed proprietary neural network technology that can instantly read, interpret and understand the financial implications of documents – such as invoices, orders and contracts – then automate consequential accounting workflows. Their solution integrates with existing accounting and ERP systems to drastically reduce the time, cost and errors associated with traditionally human bookkeeping and accounting tasks.

Ben Stein

Ben Stein is a Chartered Accountant with 15 years of experience in accounting and finance. With past experience as a CFO and having worked with KPMG for almost a decade, he is intimately familiar with the financial challenges that businesses face every day. He holds a degrees in law and business and is a proficient full stack developer.  

Joshua Kettlewell

Dr. Joshua Kettlewell is a PhD computer scientist with a background in machine learning and cryptography. He has considerable backend development experience and has been frequently cited in journals, technical publications and conferences.

Making batteries that work well in any situation is hard- the battery used in an EV is very different to the one used in your phone. There are thousands of possible material combinations and potential configurations to choose from and even expert battery engineers make their decisions based on trial and error.

Surge Analytics solves the battery development problem by providing SaaS simulation software powered by AI to enable rapid, cost-effective battery R&D.

Their simulations deliver cost-performance-safety optimised insights into battery designs and can reduce annual R&D costs by 80% and cycles by 90%.

Ollie Graham has a Biochemistry degree and was a CFA Charterholder from 2009-2013. He spent 15 years in financial services, culminating with being a Vice President and trader at Morgan Stanley. In 2015 he switched careers to software engineering where he developed AI/ML algorithms for health and security applications.

Dr Vishvak Kannan has a PhD from NUS in collaboration with Cambridge in Chemical Engineering with a focus on energy systems. During his PhD, he developed algorithms to integrate physical phenomena with ML and is a leading expert in this field. For his thesis, he identified scenarios in which a Sony 18650 Li-ion battery might explode!

Synchronous provides production scheduling software for the Industry 4.0 era. By combining proprietary simulation algorithms with cutting edge AI techniques, our software can help manufacturers improve efficiency by 30%.

Jeffrey Lee

Jeffrey Lee holds a Bachelor’s degree from Harvard University and experienced this production scheduling pain personally while doing B2B sales for an oil and gas manufacturer. With his experience working at SaaS start-ups in New York, he saw an opportunity to reinvent the manufacturing software stack for the Industry 4.0 era.

Ulf Bissbort

Ulf Bissbort holds a PhD in theoretical physics from Goethe University and completed a Postdoc at MIT, bringing over 10 years of simulation and ML experience. He created high performance simulations of complex quantum systems after training his first vintage neural nets in 2003, and focused on machine learning the past 3 years in various contexts.

Crude oil derived products have infiltrated every industry – synthetic colours, flavours, fragrances in food, dyes in textiles, fertilisers and packaging material that harm humans and the planet.

TeOra’s mission is to replace synthetics with naturals that are manufactured in a sustainable and predictable manner. A microorganism is the best factory, optimised over billions of years of evolution and TeOra genetically reprograms it to produce desired products.

Using microfluidics and AI, TeOra offers 100 times faster and cheaper genetic reprogramming to design smart micro-organisms in weeks to months instead of years.

Rishita Changede is an award winning scientist with a PhD from A*STAR and NUS. With 13 years of experience in genetic engineering, biosensors and biophysics, she has successfully led international and interdisciplinary teams and published 8 papers in journals like Nature Materials. She has mentored biotech startups to prepare her for TeOra.

With over a decade of experience, 18 papers and a PhD from NUS and UC Irvine, Seyed Hasheminejad has developed deep expertise in computation and experimental fluid systems where he mastered control and manipulation of turbulence and fluid flow in channels. A mechanical engineer by training, he has successfully led diverse engineering teams.

Additive Manufacturing opens new opportunities for smart industrial productions. Unfortunately, the aeronautics and automotive industries still produce parts by relying on simple designs, as a result of a lack of tools and limited human intuition.

At TOffeeAM, we have created an automatic design software able to produce intelligent, complex and efficient designs suitable for AM. Our solutions are up to 40% more efficient and can be produced 20 times faster. Our software has already been used by GE Aviation, BHGE and F1 teams.

FRANCESCO MONTOMOLI
Francesco is an Imperial College reader and a RAEng Enterprise Fellow. He holds a PhD in Energy Engineering and studied Management of Technology at Cambridge. He is a former employee of GE and boasts collaborations with Rolls-Royce, NASA, Airbus and Criepi, becoming an expert in Uncertainty Quantification.

MARCO PIETROPAOLI
Marco is an EPSRC Doctoral Prize fellow at Imperial College where he completed his PhD in Fluid Dynamics. He holds a MSc in Mathematics and has expertise in AI software for Additive Manufacturing. He boasts a collaboration with NASA Langley and he is an MBA student at the Smartly Institute of Washington DC.

AUDREY GAYMANN
Audrey is a final year PhD candidate at Imperial College. She holds a MEng from Imperial College Aeronautics where she strengthened her expertise in robust analysis. She is a former visitor student at NASA and an Amelia Earhart Fellow, named as one of best the 32 female PhDs in the world working in Aerospace.

Transcelestial is developing the fastest, long-distance, point-to-point wireless communication network possible. It will be delivered as a space data network for terrestrial and satellite applications, which will use lasers to transfer data at up to 1000x faster than what is currently available. The network will be difficult to jam and will not need any spectrum pre-allocation or regulation.

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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.