Hireable is leading the way in a new era of career transition, leveraging cutting edge AI technology tailored for today’s fast paced job market.

Contact:

Hireable

Project 1: Full-Stack, ML-Enabled Job Board Build - Download here

Objective:

To build a full-stack, machine learning-enabled job board based on an existing Figma design prototype. The front-end will be developed using Bubble, while the back-end will be hosted on Azure. The job board will integrate reinforcement learning and an autonomous training pipeline into the CV Builder, leveraging Hireable’s existing AI technology to enhance job matching and user experience.

Project 2: Real-time 3D AI Interview Coach Diagrams - Download here

Objective:

The goal is to produce five key diagrams to visualize various aspects of the real-time 3D AI interview coach system. Each diagram should be clear and detailed, with all necessary components, data flows, and interactions fully represented.

We help SMEs to access secure, privately hosted LLMs through one easy-to-use application. Superpower your team now.

Emediately

Project: GPU Power Efficiency in Large Language Models (LLMs) Research & Development Project - Download hereLink opens in a new window

Objectives:

1. Reduce GPU Power Consumption: Investigate methods such as eliminating MatMul operations from LLMs to cut down on energy use during training and inference.

2. Increase Cost Efficiency: Develop solutions that lower the operational costs of running LLMs on large-scale GPUs, boosting company profits.

3. Enhance Sustainability: Make computational workloads more carbon-efficient by redesigning key neural network operations, helping reduce the environmental footprint of AI models.

SIP facilitates decentralised innovation. As it grows, so too does users' agency to tackle larger-scale problems and access to equity.

Contact: Rebecca.C.DIlipen@warwick.ac.uk

SIP - Social Ideas Platform

Project 1: Blockchain backend - Download here

To engineer a permissioned blockchain system that facilitates the co-ownership of ideas for our first users, us.

Project 2: Idea Development User Interface - Download here

2. To create an intuitive idea development user interface for everyday use.

Project 3: Statistical model for user-based Idea Evaluation - Download here

3. To develop an AI-facilitated user evaluation model to determine the value of our contributions.

Transmunicate’s novel technology will aid in gaining “informed medical consent” from patients in their own language.

Contact: transmunicate@gmail.com

Transmunicate Ltd

Project: MVP for Interpreter App that utilises voice recognition software and language translation. Download hereLink opens in a new window

Objectives:

To develop an MVP utilising voice recognition software, to translate and interpret verbally and repeat back to the patient in the original language in real time.

Changing the landscape of clinical trials from a siloed process to a community-based professional and verifiable approach.

Contact:

Alpha Clinical Trials

We are focused on ensuring valuable access to diverse ethnic populations and representation in clinical trials, enhancing efficacy and safety through community-based approaches, and connecting patients and sites to the industry.

Project: Increase App functionality to have the following features: Download here 

• Country Search, Analytics on patient outcomes

• Podcast / Educational section for the latest updates on therapeutic / disease areas.

• Provide the opportunity to advertise/connect to Pharmacy outlets.

• Ultimately one-stop shop for Clinical Trials

Please get in touch for further details

We are making nutritional tracking accessible, accurate, and actionable for everyone.

Contact:

Nutient

Project 1: Intelligent food recognition system - Download here

Objective:

To develop a robust machine learning system that can accurately identify food items from images, estimate portions, and provide real-time nutritional analysis. This includes Backend and Frontend development.

Project 2: Smart Meal Planning Engine - Download here 

Objective:

To create an intelligent meal planning system that generates personalized weekly meal plans based on user preferences, health goals, and dietary restrictions, while ensuring nutritional balance and variety.

Project 3: Health Analytics dashboard - Download here 

Objective:

To develop a comprehensive analytics dashboard that provides users with actionable insights about their nutritional habits, progress tracking, and personalized health recommendations.

Noticing uses multiple AI models to assist
and guide teachers in reflective practices,
lesson planning and classroom investigations.

Contact:

Noticing

Project: To build simple mobile applications which communicate over existing REST and WebSocket APIs - Download here 

Objective:

Noticing is a web application, currently built as a ‘majestic monolith’ in Ruby on Rails.

Our roadmap objective is to allow multiple clients to be able to chat with Noa, the monolith will be updated to expose APIs which allow for both RESTful (synchronous, stateless communication) and WebSocket (two-way communication).

AutoCat is revolutionising market research by bringing enterprise-grade AI analysis capabilities to marketing teams of all sizes, making sophisticated survey analysis accessible and actionable.

Contact:

AutoCat

Project: AI-Powered Survey Analysis Platform with Marketing Focus - Download here

Objective:

To develop an intuitive, LLM-powered survey analysis platform that transforms how marketing firms process and visualise data. The platform will seamlessly integrate with major survey tools (SurveyMonkey, Typeform, etc.) whilst providing sophisticated analytical insights through a user-centric interface. AutoCat leverages advanced AI capabilities to automate qualitative analysis and generate actionable insights, with a strong focus on user experience and continuous feedback from marketing professionals.

We predict floods using AI and we are on a mission of protecting people and assets from floods by building resilient cities and infrastructure that can withstand the devastating effects of climate change..

Contact:

Fluvialycs

Project: Flood Map Aggregator Script for Multi-Predictor Integration - Download here

Objective:

To create a script or process to merge multiple flood map files (GeoJSON or GeoTIFF format) generated by different Fluvialycs Predictors (area-specific flood predictive models) into a single, unified flood map file for each predicted time horizon.

We will provide gamified, immersive, and personalised VR training for employees to develop essential skills such as communication, leadership, and team management.

Contact

S2C Virtual Reality

Project 1: AI-Powered Chatbot for Leadership Content - Download here

Objective:

To develop an AI-powered chatbot capable of delivering leadership insights and guidance by utilising the content of a leadership book as its primary training material. The chatbot will be user-friendly, engaging, and capable of providing intelligent responses.

Project 2: Mobile App - Download here

Objective:

To develop a mobile app that serves as a platform to host training content and integrate an AI-powered chatbot. The app will provide users with a seamless and engaging experience, allowing them to interact with leadership training material in an accessible way.

Project 3: Website with Members Area - Download here

Objective:

To design and develop a professional website, including a secure members’ area where users can access training content, track progress, or review learning data analytics.

Casey Legal

Project: Platform Engineer - Download here

Objective:

As a Platform Engineer, you’ll work alongside talented AI Engineers and contribute to building scalable infrastructure and innovative backend solutions for AI-powered legal data platforms.