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Genspark on Funding Update, Business Outlook
Bloomberg
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2 months ago
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00:00
Tell us a little bit about your business right now because we're hearing about these millions
00:03
of dollars being raised in funding. Absolutely, Sherry. Excited to be here and thank you.
00:08
So yeah, we are a Palo Alto-based technology company. We build AI agents for knowledge
00:12
workers. We believe one billion plus knowledge workers around the globe deserve, everybody
00:17
deserves more freedom, greater freedom. So we launched our super agent suite back in April
00:22
this year and within five months we've broken 50 million dollars of ARR. And with that we've
00:28
raised up until this February two rounds of funding, 60 million dollars of seed round
00:33
and 100 million dollars of ARR. Now we have raised more money. We're officially announcing
00:39
that on November 20th in San Francisco. We're doing a big launch event at the Dogpatch studio
00:44
and yeah, super excited. But what I could say today is LG is one of our ambassadors now.
00:52
What's the partnership looking like there then? So they put money into our business
00:57
business and we are seeing a lot of great demand in Seoul from Korea. I was just at the AI summit
01:04
in Seoul yesterday and wow, the enthusiasm of AI adoption here in Seoul is through the roof.
01:10
And we have individual users, you know, bankers, analysts, entrepreneurs, you know, consultants.
01:17
We are also hearing a lot from household names in corporate world. I wanted to adopt our super
01:23
agent suite and make their day-to-day a lot easier. May come to, you know, slides, spreadsheets,
01:29
financial models, documents. We wanted to automate everything for you with our agent, AI agents.
01:36
So what are the suite of products that you're looking at building out? What would the priorities
01:41
be? I guess this would be informed by what enterprise users want to see.
01:46
Absolutely. 100%. So when we first launched, our initial version had, you know, a few things,
01:54
AI slides, AI spreadsheets, AI documents. So in the past, we human beings, we were the production
02:00
engine. We have to craft our work word by word, pixel by pixel. Now with Gensburg super agent,
02:05
you don't have to do that anymore. You command your super agent, basically say, hey, research
02:10
Nvidia stock and gather me all the sentiment from Wall Street in the past three months, lay it all
02:16
out in a five-page slide deck, give me the full investment memo in consideration for buying it for,
02:20
you know, buying $10 million worth of stock and, you know, give me the full analysis on a spreadsheet.
02:27
All of these things can now be done through our super agent suite. And then we human beings,
02:32
we're on the other end of it. We just tell our agent if we, you know, are satisfied with the
02:36
results, or we want, you know, the document to be a bit more concise, or we want to see more details
02:41
from the financial models. So that's where the world has come to. Yeah.
02:49
So all this takes, I guess, a fair bit of investments from firms. What can you tell us about
02:57
how that translates into payoffs and when exactly can we see that?
03:01
Absolutely. So I wanted to say, when it comes to how we use our investment money,
03:07
we are a product and technology company. We're not an AI research company. So we don't put money
03:12
into pre-training. Our technology sits on top of 30-plus state-of-the-art models. We work with
03:18
OpenAI, Anthropic, Google, and all the open source models. And we built this model orchestration layer
03:24
to call on these models to do different things within even the same task. So we, of course, pay for
03:30
getting access to their APIs. But then our agent really leverages the greatest model capabilities
03:37
to accomplish the real-world, you know, work. Because today, we're seeing so many, let's say,
03:43
chatbots in the market, right? A lot of these AI models, you can go back and forth with them.
03:47
They don't do real work. They don't accomplish real things for you. They don't create real values
03:51
for you. But when it comes to the JetSpark superagent, we focus on getting the work done.
03:56
So some of you may know that when we launched the company, our first product was about search.
04:03
Then we came to the revelation kind of that, you know, when it comes to information and knowledge,
04:08
it's just going to be so accessible. The future of our world is not just going to be about getting
04:13
access to information. It's about, if you ask a question, why do we need information at all?
04:18
Well, we wanted to get the job done. So the future of the world is going to work in a way that,
04:22
you know, AI agents would run around to get the grunt work done for us and elevate all human
04:29
beings to work like a Jamie Dimon from JP Morgan. You know, you don't see Jamie typing hard and trying
04:34
to get work done. He would make a phone call and the analysts would be running around to get stuff
04:39
done. That's how we wanted everybody to feel about it. That's interesting because you're basically
04:43
developing your strategy as you go. But this seems to be really buying the confidence of investors.
04:48
Tencent is investing in you too? We are announcing that on November 20th.
04:54
How much? I can't say that right now, Sherry. Sorry. But yeah, we'll share about, you know,
05:01
our big round. How big of an investor are they compared to say the likes of LG?
05:05
Uh, I can't even, yeah, probably similar. Yeah. Yeah. I'd say our, our major investors are
05:14
some of our investors. So yeah, I would say more on the 20th. Um, but yeah, we, we've raised a good
05:21
amount of money for really great investors. Just let us know. But, uh, I just wonder about when it
05:27
comes to tech funding, because we're seeing such geopolitical bifurcation out there, does that
05:31
matter where you get your capital from? Look, since they want, we're a global company. Uh,
05:37
today we have offices in our global headquarters in Palo Alto, California in the USA or Delaware
05:43
C Corp. Uh, but we do have offices in Singapore. We just opened up our office in Japan because we're
05:49
seeing the demand from around the globe and we're trying to serve, you know, the, uh, customers around
05:55
the globe. And when it comes to the corporate side of the world, we initially launched our product
06:00
as a, you know, just for individuals, um, solopreneurs, consultants, you name it. But
06:06
then coming to July timeframe, a lot of the corporate folks reached out. PE firms in Japan,
06:11
investment banks from London, uh, government agencies from, uh, UAE, from Dubai, uh, oil
06:16
gas companies from Bogota, Colombia, consumer electronics companies, telecom companies from
06:21
Korea. Wow. I mean, the, uh, the world has entered into this token economy.
06:26
Does it matter, for example, the difference in the language base from all of these different
06:32
customers? Who are your biggest markets and how do you adjust to not just a local differences in
06:37
language, but also regulations? It absolutely matters, Sherry. Now, um, we are seeing demand
06:43
from all of these markets. And when it comes to how people access our product now, the great thing
06:49
about LLMs is that language is no longer a barrier. So we are an AI native company. The moment our product
06:57
was born, it serves all languages to all markets. Uh, if you're in Dubai, you're going to see Arabic
07:04
words from right to left. That's how our UI is going to look like. Very different. And the great thing is
07:10
this technology is scalable across, you know, uh, all industries, all countries around the globe. So yeah.
07:18
What about regulations? Oh, yeah, of course. I mean, uh, things are done very differently in
07:23
different regions. Um, you know, some of the clients, uh, they may have, you know, needs for
07:29
on-prem deployment. Now we're a startup in the making still. So, um, for, you know, uh, deployments
07:38
like that, we would work with great partners like NVIDIA, uh, like AWS, Microsoft Azure, uh, GCP, all of
07:45
these amazing cloud, uh, partners, uh, to enable deployments like that. But yeah, it is absolutely
07:51
different, uh, different. So, uh, since we've entered into, uh, uh, you know, interactions
07:57
and collaborations with corporates all over the world, yeah, people care about security
08:01
and privacy, right? So we've since contracted with good partners to get through the certification
08:06
of SOC 2 Type 2, which is more of the kind of golden standard in North America.
08:11
And, you know, uh, in, in Europe, in Asia, people care about ISO 2701, 4201. We've started the
08:18
certification process for those as well. And also in, in Europe, GDPR. Yeah, we've, we've started
08:23
doing, you know, yeah, yeah, yeah. So all of these things matter 100%.
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