Cohere
Ontario
Canada
Overview
Founded in Toronto in 2019, machine learning company Cohere has soared to its present valuation of $2.1 billion on its ambitions of building generative machine learning tools for the enterprise market. Sound a little, well, dull? Technologically, it’s anything but boring. Cohere is creating similar generative AI tools to the likes of OpenAI, only with the express mission statement that these will be for business use-cases, rather than primarily user-facing ones.
Although OpenAI is now starting to pursue enterprise customers, Cohere has the first-mover advantage in this all-important (and potentially very lucrative) domain. Since its tools will most likely find themselves baked into all manners of programs in the coming months and years, that means there’s a good chance you’ll wind up using Cohere’s technology—even if you don’t explicitly realize it.
Select Cohere use-cases include AI models designed to power chatbots, such as the popular customer support chatbot Ada; models for penning AI-written blog posts and articles; AI for online content moderation. In a depressed economy, in which competitive companies are trying to do more than ever with less, Cohere’s promises about the extreme productivity gains potential of generative AI could well make it a “must-have.”
It’s certainly made it popular with big-name supporters, including superstars like “father or AI” Geoff Hinton and Stanford’s Fei-Fei Li, along with Nvidia, Oracle, and Salesforce Ventures. It even recently brokered a deal with management consulting giant McKinsey.
As for names working at Cohere itself, there are assorted luminaries from Google, YouTube, and other tech giants. One co-founder, Aidan Gomez, was among the authors of the breakthrough 2017 research paper titled, “Attention is All You Need,” which described the revolutionary transformer deep learning architecture. Transformers (the “T” in ChatGPT) mean a major decrease in training time and costs for building gigantic machine learning models, and helped to usher in the present era of large language models (LLMs) capable of generating original text.
Just in case you were doubting Cohere’s proximity to the cutting edge of AI.
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Although OpenAI is now starting to pursue enterprise customers, Cohere has the first-mover advantage in this all-important (and potentially very lucrative) domain. Since its tools will most likely find themselves baked into all manners of programs in the coming months and years, that means there’s a good chance you’ll wind up using Cohere’s technology—even if you don’t explicitly realize it.
Select Cohere use-cases include AI models designed to power chatbots, such as the popular customer support chatbot Ada; models for penning AI-written blog posts and articles; AI for online content moderation. In a depressed economy, in which competitive companies are trying to do more than ever with less, Cohere’s promises about the extreme productivity gains potential of generative AI could well make it a “must-have.”
It’s certainly made it popular with big-name supporters, including superstars like “father or AI” Geoff Hinton and Stanford’s Fei-Fei Li, along with Nvidia, Oracle, and Salesforce Ventures. It even recently brokered a deal with management consulting giant McKinsey.
As for names working at Cohere itself, there are assorted luminaries from Google, YouTube, and other tech giants. One co-founder, Aidan Gomez, was among the authors of the breakthrough 2017 research paper titled, “Attention is All You Need,” which described the revolutionary transformer deep learning architecture. Transformers (the “T” in ChatGPT) mean a major decrease in training time and costs for building gigantic machine learning models, and helped to usher in the present era of large language models (LLMs) capable of generating original text.
Just in case you were doubting Cohere’s proximity to the cutting edge of AI.
