The worlds of AI and Machine Learning are advancing at fast pace and the sector is incubating a number of interesting startups that look set to change how many aspects of our daily lives work. From customer experience to the way we communicate, these startups are applying AI and ML to solve real world issues.

Flamingo AI

The startup calls itself an “AI conversational partner”, they define conversational AI as a sub-sector of artificial intelligence that is based on the idea that computers can learn to produce natural and seamless conversation with humans. As opposed to selling chat robots, they provide a personalized service for each of their clients, working with enterprises throughout the process to produce an authentic sounding chat robot. Flamingo is working to generate interest in the machine learning sector by promoting their ROSIE a virtual sales assistant, MAGGIE a virtual inquiry assistant, and LIBBY a self-organising library. The company was founded in 2015 in Sydney, Australia and has now moved to New York City. Live customer evaluation is taking place for a number of clients.

Neurala

This Boston-based startup has developed a neural network software system that makes everyday devices including cell phones, cameras, and even drones more intelligent. The Neurala Brain allows these products to carry out additional tasks such as recognizing faces and objects in a video before finding them and tracking them as they move. The startup has recently announced a partnership with Laserpas, a utility asset management company based in the EU. Neurala’s vision and deep learning tech will be used as an element of the Laserpas workflow, allowing more efficient aerial inspections. It will identify flaws in components allowing the risk for inspectors to be cut and will enable the business to scale up faster.

Speciate AI

This startup is creating AI-driven customer insight for its clients to help them to understand how customers are feeling about their products. The product they offer mines data from social media, news outlets, and product reviews before combining the data with market-specific research data to give clients more insight at a lower cost. They are offering the service as a wider-reaching alternative to focus groups or follow-up surveys. The software uses algorithms to analyze text, image, audio, and video data in order to generate insights. As of yet, companies have yet to use an estimated 90% of unstructured data meaning that a program that allows for the data to be processed and presented in a user-friendly way should be well received.