Move37 is an AI company founded in 2015, predating the widespread recognition of generative AI sparked by ChatGPT. However, unlike ChatGPT, the company’s focus has remained on offering AI-based tools and solutions to organisations and not end users directly. Their focus has always been on leveraging natural language processing and language models to enhance critical and creative thinking. While the language models have grown significantly since their inception, Move37's core vision remains: augmenting human capabilities through AI.
What is Move37 and what things it offers
Move37 views the collaboration between humans and AI as a new frontier in research, creative thinking, and critical analysis. The company recognises the unique strengths each brings to the table. Humans possess experience, expertise, instinct, and empathy while leveraging AI that offers speed, and the ability to coordinate concepts, make associations, and provide diverse perspectives.
Move37 aims to bridge the gap between the ever-increasing volume of information available to knowledge workers and the limited time and resources they have to process it. This is especially relevant in challenging economic times when pressure to produce insights quickly and efficiently is high.
Archer, the AI research assistant
Their primary offering, Archer, is an AI-powered research assistant. It helps users explore complex topics by generating explorable summaries with rich context. Imagine a sustainability researcher investigating global efforts to increase electric home adoption. Archer can take a short brief from the researcher, generate a preliminary research plan, and then refine it based on feedback. Once the researcher is satisfied, Archer analyzes vast amounts of data, identifying key themes and connections that might otherwise be missed. In this example, Archer uncovered an unexpected link between hesitancy towards electric vehicles and reluctance to electrify homes.
Other use cases demonstrate Archer's versatility. An education department employee uses it to analyze school performance reports, saving approximately 80% of the time previously required. A non-governmental organization uses Archer to analyze data from field workers, significantly reducing analysis time. An education consultancy uses Archer to develop new university courses, starting with thematic analyses rather than pre-conceived ideas.
Move37 and Google Cloud
Move37's technology relies heavily on Google Cloud. The company utilises Google Kubernetes Engine for container orchestration, Compute Engine for processing, and Cloud GPUs for accelerated inference tasks. They are also transitioning some inference tasks to Vertex AI for its automated scaling and model management features. Cloud Storage provides a stable environment for data and content.
The company emphasises the importance of speed, relevance, accuracy, and usefulness in AI-generated insights. They believe Google Cloud enables them to continuously improve Archer across these metrics. Moreover, Google Cloud's scalability and support allow Move37 to maintain a lean workforce while achieving significant results.
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