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Cohere Inc.

Cohere Inc.

Artificial intelligence companywww.cohere.com

Search complete. 77 mentions across 44 episodes found for "Cohere Inc.".

Sep 11, 2026

speaker_0HOST
0:14
Oracle's cloud backlog tops $664 billion after a blockbuster earnings report.
speaker_0HOST
0:21
And Cohere is reportedly in talks for a new funding round at a $20 billion valuation.
speaker_0HOST
0:27
Let's get into it.
speaker_1CORRESPONDENT
0:28
SpaceX has signed another blockbuster artificial intelligence hosting deal.
speaker_2CORRESPONDENT
2:13
Analysts said the results suggest Oracle's AI cloud backlog is beginning to convert into real revenue.
speaker_3CORRESPONDENT
2:21
Now to funding news.
speaker_3CORRESPONDENT
2:22
Cohere is in advanced talks to raise between $2 billion and $3 billion in new funding at a $20 billion valuation, according to a Bloomberg report on Friday.
speaker_3CORRESPONDENT
2:33
The terms are not final, and people familiar with the discussions said the round could close as early as next week.
Heath TerryGUEST
32:09
Um, and we're seeing a lot of open source growth, not just from Chinese models, but from all of the, the Western models as, as well.
Heath TerryGUEST
32:17
Um, companies like Poolside with their Laguna models, companies like Cohere and Mistral that, that have models as well as all of the ones out of China, DeepSeek and Qwen and Kimi.
Heath TerryGUEST
32:27
Um, those are getting a lot of traction because they have been price performant, and they have been able to get, um, get a lot of, a, a lot of usage, a lot of volume usage, uh, among s- a certain type of enterprise and a certain type of, type of workload.
Heath TerryGUEST
32:43
That's, we think, is starting to shift because what you're, what we've seen in the most recent frontier model releases, and it's why these, these models that have come out in the last couple of weeks are, are so important, is these models are now not only the most performant models in terms of, of absolutely pushing what can be done with AI, but they're also economically efficient when you look at it on a cost per task basis.
Arjun KharpalHOST
0:21
Do you think Western policymakers still underestimating the, the technical capabilities of China? [upbeat music] Hello, I'm CNBC's senior technology correspondent, Arjun Kharpal.
Arjun KharpalHOST
0:37
My guest today is Aidan Gomez, CEO of Cohere, which is an enterprise-focused AI startup.
Arjun KharpalHOST
0:43
But before he was a CEO, Gomez was one of the co-authors of the 2017 research paper, Attention Is All You Need, better known as the Transformer paper.
Arjun KharpalHOST
0:52
The key breakthrough was teaching AI how to pay attention to the most relevant pieces of information in a sentence or document at the same time, rather than processing information sequentially.
Arjun KharpalHOST
1:33
But sovereignty is, is a word we continue to hear over and over again.
Arjun KharpalHOST
1:37
I've heard multiple definitions o- of sovereignty as well.
Arjun KharpalHOST
1:41
What does this mean in practice for, for you guys at Cohere?
Aidan GomezGUEST
1:43
So for us, the way that we look at it is sovereignty is control, so control over the data in your system.
Manoj SukumaranHOST
7:41
So how different is this compared to VLLM's paged attention or NVIDIA's inference context memory storage platform? How do you differentiate Infera from these kind of solutions?
ArthurGUEST
7:54
So I had created previously, I looked at when I was during my time in Cohere, I looked at Paged Attention in TensorRT LLM, and I also looked at VLLM.
ArthurGUEST
8:04
You know, historically, so Cohere is sort of an interesting company in that one of the co-founders was one of the people who created Attention Is All You Need.
ArthurGUEST
8:10
And, you know, there was Faster Transformer as a library that they had that was, you know, a little bit better than just, you know, pip import transformers, right? And then later, TensorFlow TLM, and then later VLLM.
ArthurGUEST
8:21
And I've been looking at the page attention implementation as somebody who came from sort of the background of virtualization.
Eric NewcomerHOST
12:17
They're like, yo, you know...
Eric NewcomerHOST
12:18
I mean, Cohere is literally, you know, [chuckles] a Canadian company-
Zavain DarGUEST
12:22
Yeah
Eric NewcomerHOST
12:22
... building ties to Germany, s- spending time in London-
Evan SolomonGUEST
24:00
Oh, we use AI tools like we use lots of digital tools for lots of different things.
Evan SolomonGUEST
24:09
We use Cohere, which is a Canadian incredible company.
Evan SolomonGUEST
24:14
And as you know, as the federal government, We use Canadian companies and they're secure and they're very helpful in many of the tasks that we do.
Evan SolomonGUEST
24:26
And it's good to support Canadian companies using this technology.
AriHOST
8:13
He raised a pre-seed, previously scaled an AI support code to 84K ARR.
AriHOST
8:18
And before this, he was doing data evals at Cohere.
AriHOST
8:21
Ryan, take it away.
Ryan JunejoGUEST
8:23
Hey, Julian.
Janice SteinGUEST
16:56
Well, we did.
Janice SteinGUEST
16:57
Our largest large language model developer, Cohere, partnered with Germany, with a company in Germany, and we could extend that out to others, to South Korea.
Janice SteinGUEST
17:09
You build a shared cloud because you're not worried that the South Koreans are the Germans.
Janice SteinGUEST
17:15
are going to be in a position where they could coerce.
Jon KrohnHOST
0:15
Today's exceptional guest is Dr. Luis Serrano, founder of the Serrano Academy, whose YouTube channel has over 200,000 subscribers hooked on his visual intuitive explanations of machine learning.
Jon KrohnHOST
0:28
Luis previously worked at Apple, Cohere, and a quantum computing startup, and the second edition of his best-selling book, Grokking Machine Learning, is out this very month.
Jon KrohnHOST
0:38
In today's episode, Luis explains his mind-bending new paper on how transformer architectures mirror Einstein's curved spacetime, why RAG isn't an agent, and how GRPO, the reinforcement learning technique behind DeepSeq's reasoning breakthrough, really works.
Jon KrohnHOST
0:53
Enjoy.
Jon KrohnHOST
1:45
some soccer.
Jon KrohnHOST
1:47
Yeah, it was a fun day.
Jon KrohnHOST
1:49
So last time you were on the show, it was your final month at what was at the time a company that was talked about a lot, Cohere.
Jon KrohnHOST
1:56
It felt like Cohere was in the conversation next to OpenAI and Anthropic all the time a couple of years ago.
Chris WolfGUEST
2:43
So they've been looking for turnkey solutions.
Chris WolfGUEST
2:46
You know, one of the companies that we worked with in this space is Cohere.
Chris WolfGUEST
2:50
And Cohere is running models and services for the Canadian government today.
Chris WolfGUEST
2:56
We have customers running Mistral AI models as another example.
Chris WolfGUEST
3:00
And you see this influx of these commercial solutions coming on premises, which is, to me, it's...

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