Okay, let's really unpack this. Looking at the
past week, June 7th to the 12th, 2025, the source
material you shared, it describes the AI funding
scene as, well, not just making waves, it calls
it a tsunami of cash. Yeah, tsunami feels about
right, maybe even a bit mild. It's just this
massive flood of capital. And investors... They
seem to be making these incredibly bold bets
like right now on where AI is headed. And it's
not just one thing either. No, exactly. That's
what's so striking. It's across such diverse
applications, really diverse. OK, so that's our
mission for this deep dive then. Take all the
source material and figure out what this huge
influx of money actually means. We want to pull
out the really important deals because honestly,
some of these numbers are. Well, they're kind
of mind blowing. They definitely are. And maybe
a small spoiler here, but there's one headline
deal. It's just colossal. Like the biggest we've
seen in a really long time. We're talking over
$10 billion. Yeah. For one company. It really
puts the scale of this moment into perspective,
doesn't it? Scale. Ha ha. Nice. Because that
actually leads us right into the big one. The
absolute headline from the source material, scale
AI. Yep. Scale AI. And the number. It's just
staggering. The source is clear. Over 10 million
thousand dollars. 10 billion plus. It's the kind
of number that makes you do a double take. Over
10 billion confirmed June 12th. And the investor.
Who is it? Meta. Meta. Wow. OK, so for someone
maybe not totally immersed in AI, what does scale
AI actually do? Why would Meta put that much
cash into them? The source mentions critical
data infrastructure. Right. Think of them as
absolutely foundational. You need them to build
these really powerful AI models we keep hearing
about. OK. The source is a really good analogy,
actually. It's called scale AI supplying the
ultra high quality textbooks for AIs to study.
Ah, OK. Textbooks for AI. I like that. Because
training these complex AIs, it's not just about
dumping raw data on them. They need huge amounts
of data that's been carefully labeled, structured,
basically prepped for learning and scale AI.
They specialize in providing exactly that, that
meticulous data, but at a massive scale. Right.
So the AI is the student at scale. AI provides
the top tier curriculum. Makes sense. And this
funding, this astronomical amount from Meta,
what's the goal? What does the source say? Well,
it seems kind of twofold, according to the source.
First, pretty straightforward. Build out that
core data infrastructure even more, bigger, better,
faster. But the second part. This is really interesting.
The source says the funding is specifically aimed
at tackling the grand challenge of creating super
intelligence. Super intelligence. Yeah. So Meta
putting over 10 billion into a data company and
explicitly linking it to chasing super intelligence.
Yeah. That signals something huge, a really serious
long term play. It kind of positions scale AI
as what. The central hub for next -gen AI? Possibly,
yeah. Like the central nervous system, maybe.
Not just for meta, but potentially for the whole
ecosystem. It suggests meta sees control, or
at least significant access, to this data layer
as absolutely crucial for making those big AI
breakthroughs. Okay, wow. So that's the giant,
the headline deal. But the source material, it
was really clear this past week wasn't just about
that one massive check. It was more like a...
a flood right across all sorts of different areas
exactly it wasn't only about building the biggest
models or this theoretical super intelligence
quest money flowed into applications touching
almost well everything the whole economy even
our daily lives yeah like you said before from
teaching ai about human organs for drug discovery
right all the way to building like actual robot
construction helpers. It really shows AI isn't
just one single thing anymore. You know, definitely
not. It's this core capability, this technology
being applied everywhere, solving very specific,
often high value problems. OK, so let's shift
gears then move away from the headline grabber
and highlight some of these other big deals from
the source material just to give you the listener
a feel for where else this tsunami of cash landed
this past week. Agreed. That diversity is key
to understanding the whole picture. All right.
First up from the other big rounds in the source,
Sayera. They raised $540 million on June 11th.
The source calls them an AI data security platform.
What's that actually mean? So think about it.
Companies are using and generating way more data
now, especially for AI. But that data. It becomes
a massive target. Right. More data, more risk.
Exactly. So Sayuri uses AI to automatically find,
classify, and then protect sensitive data wherever
it might be. Living cloud, on -prem, in different
apps. Doesn't matter. So it's like that super
smart security guard the source mentioned, but
for all your digital stuff. Pretty much, yeah.
A very apt description. In a world where data
breaches are... getting more common and costly.
And AI itself needs these huge data sets. Having
an AI that constantly watches and protects your
data assets, that's incredibly valuable. And
the source notes, this was a series E round.
The goal, global expansion. So investors clearly
see this data security problem as massive and
global. Seems like it. They're betting Sire's
AI approach is the way to tackle it worldwide.
Makes sense. Data's the new oil. Gotta protect
the refinery. Okay, next. Multiverse computing.
They got $215 million June 12th. This one sounds
a bit... Sci -fi, quantum -inspired AI. It does,
right. So it sounds like it belongs in a physics
lab. Yeah. But the source explains it pretty
well. They're not necessarily building like full
quantum computers just yet. Those are still mostly
experimental. Instead, they're taking ideas and
algorithms from quantum physics stuff like superposition,
entanglement, and using those concepts to make
classical computers, the ones we use now, much
better at certain AI tasks. Ah, okay. So quantum
thinking for today's computers. To boost AI.
Exactly. And one specific thing the source highlighted
is something they call compactive AI. It's all
about model compression. Compressing models,
meaning making them smaller. Yep. See, these
big AI models can be absolutely enormous. They
need huge amounts of computing power. Multiverse
is working on ways to shrink them down, make
them way more efficient, but crucially, without
losing too much of their performance. Oh, okay.
So the big deal there is... Maybe powerful AI
could run on smaller devices, like eventually
on my phone. Or out in the world, on edge devices,
not just in some giant data center. Precisely.
That's the potential game changer. That's Series
B funding. It's about pushing that efficiency
boundary. Investors seem to believe there's a
big future in getting powerful AI off the cloud
and closer to where things are actually happening.
And that needs smaller models. Huh. AI on my
phone that doesn't drain the battery in five
minutes. Yeah, I could get behind that. OK, what
about Glean? $150 million, Juneteenth. Enterprise
AI search. Now, this feels like a universal problem,
finding stuff inside a company. Oh, absolutely.
Everyone's felt that pain, right? It's trying
to find that one document or the one message
lost somewhere in like 50 different internal
apps or shared drives. Tell me about it. That's
exactly what Glean tackles. The source calls
their AI a brilliant digital librarian for businesses.
Man, I need one of those yesterday. Right. It
uses AI to understand all that scattered information,
docs, emails, chats, you name it, and makes it
instantly searchable for employees. Okay. And
the source mentioned some pretty big numbers
supporting this investment. Yeah. Really impressive
metrics. Yeah. A $7 .2 billion valuation, and
they're already doing over $100 million in annual
recurring revenue. ARR. Wow. Over $100 million
ARR already. Okay, so they've definitely found
a major pain point. Businesses are clearly willing
to pay serious money to solve this internal search
mess. That seemed to be the bet, yeah. Boosting
productivity through smarter search. This funding
round, a Series F, shows massive confidence in
their existing success and their potential to
grow much bigger. Makes sense. Okay, let's switch
back to security for a sec. Horizon3 .ai, they
raised $100 million on June 11th. Focus. Autonomous
AI cybersecurity. The source says they use AI
to think like hackers. That sounds interesting.
Maybe a little scary. It does sound a bit edgy,
I know. But the idea is actually quite proactive.
Instead of just putting up defenses and hoping
for the best, their platform, it's called Node
Zero, basically uses AI to constantly, automatically
test a company's own defenses. It acts like an
automated ethical hacker. Like a friendly hacker
constantly probing your systems. Exactly. It
tries different attack methods, looks for weak
spots, just like a real attacker would, but obviously
without causing damage. So it finds the holes
before the actual bad guys do. That's the goal.
It gives the security team this. continuous,
always -on view of where they're vulnerable,
where the most critical risks are. This Series
D investment suggests investors really see the
value in this AI -driven, proactive testing compared
to, say, older, more manual methods. It's about
trying to stay ahead. Smart. Yeah, finding the
problem before it becomes a problem. Okay, huge
gear shift now. Wondercraft, $75 million, June
11th. AI -powered robotics and exoskeletons.
The source literally says straight out of a sci
-fi movie. It really does sound like it, yeah.
They build these wearable robotic suits, exoskeletons,
but not like for super soldiers or factory workers
like you might imagine. These are specifically
designed to help people with mobility challenges,
people who might otherwise use a wheelchair to
help them walk again. Whoa, seriously, that's
incredible. Where does the AI fit in? Is it just
fancy mechanics? Oh, no, the AI is absolutely
crucial. It's the brain, really. It has to interpret
subtle cues from the person wearing it, understand
the environment through sensors, and then transload
all that into smooth, stable, natural walking
movements for the suit. So it makes it feel intuitive,
like part of their body. Exactly. That's the
aim, making it feel like an extension of themselves.
This series defunding is huge for them. It's
about scaling up production, getting regulatory
approvals, and actually getting these devices
out to the clinics and people who need them.
It's AI having a really profound direct human
impact. Wow. Okay. The range of applications
this week is just nuts, from data plumbing to
helping people walk. And then you have companies
like Pactum, $54 million, June 9th. Their thing
is agentic AI in enterprise procurement. How
many decode that? AI negotiating contract. Yep.
That's basically it. Pactum creates AI agents
that are specific. specifically designed to handle
negotiations, usually with suppliers on things
like, you know, contract terms, pricing, delivery
times, that kind of stuff. Wait, seriously, the
AI agents are just talking to the suppliers autonomously.
That's the idea. The source highlights how these
AI agents can handle a lot of the more routine,
high volume negotiations automatically, which
then frees up the human procurement teams to
focus on the bigger, more strategic, complex
deals. And the benefit is? Savings. Efficiency.
Both, apparently. Significant cost savings and
saving a lot of human hours. This Series C funding
is about expanding the kinds of negotiations
their AI can tackle and signing up more big companies.
Huh. AI potentially getting better deals than
people. That's kind of wild. Okay. Okay, what
about AIM? $50 million, June 11th, embodied AI
for earth moving machinery. What's embodied AI?
So we usually think of AI as software, right?
Running in the cloud or on a computer. Yeah.
Embodied AI is about giving that intelligence
to actual physical machines, giving them a body
sensor so they can perceive the physical world
and then act intelligently within it. Okay, got
it. In AIM's case, they're building the AI brains
for heavy machinery. Think excavators, bulldozers,
big dump trucks, the stuff used in construction,
mining, big infrastructure projects. Ah, okay.
So making those massive, potentially dangerous
machines autonomous and smart. Precisely. The
big goals are improving safety on job sites,
which can be really dangerous, and also boosting
efficiency and precision dramatically. The source
mentions Kosla Ventures as one of the investors
in this venture round. That's a big name signaling
strong belief in AI getting... bakes right into
heavy physical gear. Yeah, that makes a lot of
sense for those industries. Safety and precision
are paramount. And Parallel Bio, $21 million
June 12th. Human first AI drug discovery. How
is AI helping find new medicines here? Their
approach, which the source calls human first,
sounds really innovative. They combine AI with
something called an advanced organoid platform.
Organoids. Yeah, basically miniature simplified
versions of human organs like tiny livers, tiny
lungs grown in a lab from human cells. Mini organs.
Wow. OK. Right. So instead of just testing potential
drugs on animals or standard cell cultures, which
often don't predict human reactions very well,
they test them on these human organoids. Then
their AI analyzes the huge amount of. data coming
off these tests, the goal is to predict how a
drug will likely work in actual humans. Will
it be effective? Will it be toxic? But much faster
and hopefully more accurately than the old methods.
OK, that could massively speed up drug discovery,
right? Which is notoriously slow and expensive.
Exactly. That's the hope. This Series A funding
helps them scale up both the organoid platform
and their AI analysis capabilities. It's using
AI plus these advanced biological models to tackle
a huge challenge in healthcare. Taking AI beyond
just code into the biological world. Yep. Accelerating
real scientific discovery. And just to quickly
mention a couple more from the source, really
driving home how broad this was. TasteWise also
got $50 million June 11th. They use GenAI analyzing
tons of data to predict food and beverage trends.
Helping companies figure out what we'll all want
to eat and drink next, basically. Yeah. And then
there's the plug and play AI fund itself. They
raised $50 million on June 10th. Now, that's
not money for an AI company. That's new money
raised by a VC firm specifically to invest in
future AI and fintech startups. Right. That shows
the appetite isn't just for current deals, but
raising completely new war chests just for future
AI investments. It's like we need more chips
just for the AI table. And we also saw, if finally,
$30 million on June 9th for legal AI contract
review, helping lawyers wade through complex
documents faster. And Antimetal, $20 million
on June 12th. They use AI to optimize cloud spending.
Basically helping companies save money on their
massive cloud deals. So you see, it really is
hitting everywhere. Food trends, venture capital
itself, legal tech, even just basic IT cost saving.
It's not just a few flashy areas anymore. No,
the money is spreading out across the whole economy.
It's an incredibly broad brushstroke. Absolutely.
Okay, so let's try and pull this all together.
Synthesize this whole wave of funding from just
this one week, June 7th to 12th. Based on the
source material, what are the big patterns that
really jump out? Well, the first one is just
unavoidable, right? The sheer scale of the money.
We kicked off with Scale .ai's $10 billion plus
deal. But then you stack on all those other rounds,
hundreds of millions, tens of millions across
so many different companies. It wasn't just one
or two giants. It was high volume of really significant
investments. It doesn't feel like cautious testing.
It feels like a full -on investment rush. Yeah.
Less dipping a toe, more diving in headfirst.
Yeah. And the types of applications getting funded.
Like we saw, just astonishingly diverse. Money's
going into the absolute foundations, like scale
AI's data infrastructure, which you need to build
the best models. Right. But crucially, money's
also pouring into fixing the problems AI creates,
especially around security. Securing the data
itself with Ciara and using AI to do cybersecurity
better with Horizon 3 .AI, that tells you investors
see security as totally critical as AI spreads.
It needs investment now. So it's not just building
the cool AI stuff, but also building the guardrails
around it. Exactly. And then there's that huge
push for enterprise efficiency. All those investments
in AI search, automated negotiation, legal review,
cloud cost cutting. That's all about making businesses
run faster, cheaper, smarter, tackling very real
everyday business headaches. It shows AI isn't
just in the lab anymore. It's moving into core
operations. And then those really cutting edge
applications we talked about. The physical world
stuff like robotics and embodied AI and the biological
stuff like drug discovery. Right. Those show
investors aren't only focused on software or
business tools. They're betting on AI fundamentally
changing physical industries like construction,
mining, and also speeding up science in areas
like medicine. It shows this confidence that
AI can handle the complex, messy, real world.
So if you boil it down, the pattern isn't just
investors like AI. It's more like they see AI
as this foundational capability that needs its
own infrastructure, needs strong security, can
massively improve how businesses already work,
and is ready to tackle really complex physical
and scientific challenges. It's getting woven
into everything. Precisely. The investment patterns
suggest a strong belief that AI is fast becoming
a kind of utility layer across the whole economy.
Okay. So, wrapping up then. This one week, June
7th to 12th, 2025, it really was an unprecedented
surge in AI funding. It feels less like a trend
and more like, well, like the financial markets
strongly agreeing that AI is set to reshape,
well, pretty much everything and maybe faster
than we thought. The money is definitely talking,
and it's saying AI's impact is expected to be
massive and widespread. So here's the final thought
for you, our listener, to chew on. And this is
based purely on what we saw in the source material
from this single week. When you look at the sheer
amount of money spearheaded by that huge meta
-investment aiming, potentially, at superintelligence
infrastructure, and then you look at the incredible
variety of things being funded, AI negotiating
deals, robots helping people walk, AI predicting
food trends, AI speeding up medicine discovery.
What does this level of intense financial commitment
across such a huge range of applications really
tell us about how quickly the world's big players
actually expect AI to fundamentally change our
reality?