ELEVATE Science Pitch Competition

Project:

VITOVA aims to make health and wellbeing more accessible through a personalised and data-driven approach. 

The platform integrates technology and behavioural science to offer users tailored wellness plans, health insights, and lifestyle coaching. With a focus on preventing chronic illness and encouraging healthier habits, VITOVA uses wearable integration and AI to deliver recommendations that are both effective and engaging. The innovation seeks to bridge the gap between healthcare professionals and individuals by empowering users to take proactive control over their health.

Project:

Preventa Health Solutions seeks to revolutioniSe healthcare by emphasising early intervention through data-driven analytics. 

By integrating data from GP records, hospitals, and wearable devices, Preventa provides actionable insights to healthcare providers, reducing the burden of chronic diseases on the NHS. 

With a tiered service model, it offers both foundational guidance and enhanced consultancy for health systems. The innovation has been successfully piloted with the Mid and South Essex Health Care Partnership, improving cervical screening uptake and influencing regional health strategy. Now at the prototype stage, Preventa is ready to scale with NHS partners to build a healthier, preventative-focused future.

Project:

Stocki is a real-time retail search engine designed to enhance in-person shopping by enabling users to check stock availability across stores, compare products, and receive personalised suggestions. 

It solves frustrations such as out-of-stock items and inefficient store visits, while providing retailers with valuable data and increased foot traffic. In development for over a year, the team has released a beta version and refined the app based on user feedback. Stocki aims to blend online convenience with offline retail benefits, becoming a go-to tool for smart shopping. The ELEVATE funding will support technical improvements and marketing for the upcoming full launch.

Project:

Stock-Bot is an AI-powered chatbot that assists users in researching and evaluating stocks with the precision of expert investors. 

It has demonstrated a 21% return on a practice trading account since September. Reuben's business model includes offering chatbot access via subscriptions, alongside educational content on investing and financial literacy. Revenue generated will be reinvested to further develop the platform. The innovation aims to democratise financial education and empower users to make informed investment decisions, with the competition serving as a platform for feedback and pitch refinement.

Project:

Career Mate is an AI-powered chatbot offering affordable, personalised academic and career support to UK university students. 

It responds instantly and with emotional awareness, providing tutoring, career guidance, and skills development. Built using advanced NLP and LLMs, it surpasses existing chatbots by comprehending user context and intent. The service helps universities enhance student satisfaction and graduate employability while addressing funding challenges. Already in use with strong user feedback (4.8-star rating), ThinkLabsAI projects £150,000 revenue in six months via B2C and B2E models. The business has won multiple awards and joined accelerators like Microsoft Startup and UCL EdTech Labs, aiming to expand partnerships and ensure compliance with ethical AI standards.

Project:

Epoc is a platform designed to preserve human experiences, ideas, and creations in a structured, digital format. 

It enables users to contribute to exclusive 'archives' documenting different eras and personal narratives. This initiative allows individuals to leave behind a curated part of themselves while also creating historical reference points for future generations. Ewan has developed a mobile app and launched a website that hosts a waitlist and archive previews. Marketing through Instagram has already brought early traction with paid reservations and waitlist signups. The project focuses on increasing its user base and driving interest ahead of the platform’s official launch.

Project:

This innovation aims to develop a portable, highly accurate fluorometer for real-time detection of cryptosporidium in water. 

Prompted by a recent outbreak in Devon, the device is designed to help water companies routinely monitor water sources, enhancing public health and environmental safety. The prototype is functional but requires calibration to detect cryptosporidium with precision. The project seeks to deepen technical expertise in sensor calibration and pathogen detection, while also gaining mentorship in engineering and business development. By connecting with experts in water safety and public health, the goal is to refine the device, explore pilot testing, and prepare it for commercialisation — ultimately delivering a reliable, scalable solution to safeguard communities and ecosystems from waterborne pathogens.