GaiaNet Secures $10M to Build a Decentralized Network for Open Source LLM and AI Agent, Challenging Centralized AI Giants

Today, GaiaNet,
a
pioneering,
new
AI
infrastructure
project
that
aims
to
decentralize
current
AI
agent
softwares,
announced
it
has
raised
a
$10
million
Series
Seed
Round
funding,
with
key
strategic
advisors
that
include
Generative
Ventures’s
Lex
Sokolin,
Republic
Capital’s
Brian
Johnson,
7RIDGE’s
Shawn
Ng,
Kishore
Bhatia,
EVM
Capital,
Mirana
Ventures,
Mantle
EcoFund
and
ByteTrade
Lab.

GaiaNet
is
a
distributed
AI
infrastructure
that
aims
to
decentralize
the
current
AI
agent
softwares,
paving
the
way
for
a
new
era
of
decentralized
AI
interaction
and
application.
Instead
of
setting
up
centralized
servers,
GaiaNet
is
harnessing
a
distributed
network
of
edge
nodes,
controlled
by
individuals
and
businesses,
to
host
AI
models
based
on
their
proprietary
domain
knowledge
and
expertise.
In
this
model,
each
GiaiaNet
node
acts
as
an
AI
twin
(agent)
of
a
real-world
expert
or
personality
–
such
as
a
university
teaching
assistant,
a
crypto
trader,
or
a
customer
service
agent
–
performing
skilled
knowledge
tasks
on
behalf
of
its
creator
or
operator. 

In
this
phase,
the
project
targets
outstanding
issues
in
various
industries,
including
higher
education,
specifically
addressing
the
shortage
of
teaching
assistants
in
high-enrollment
courses
such
as
entry-level
computer
science
and
engineering.
GaiaNet
allows
the
creation
of
a
personalized
AI
chatbot
adept
at
responding
and
catering
to
queries
from
students
with
various
backgrounds
and
expertise
in
its
distributed
and
decentralized
network. 

“Our
mission
with
GaiaNet
is
to
redefine
the
way
humans
and
AI
engage
and
to
enable
sovereign
infrastructure
for
interacting
with
AI,”
Matt
Wright,
CEO
of
GaiaNet
said.
“With
the
recent
investment,
we’re
able
to
take
a
step
further
in
our
commitment
to
redefining
the
boundaries
of
AI,
making
it
more
accessible,
data
bias-resistant,
collaborative,
and
privacy-centric.”
 

GaiaNet
is
already
blazing
a
path
to
revolutionize
industries
with
advanced
AI
solutions
with
its
first major
partnership with
the
University
of
California,
Berkeley,
announced
earlier
this
year.
The
initiative,
facilitated
by
a
strategic
partnership
between
GaiaNet
and
UC
Berkeley’s
FHL
Vive
Center,
will
introduce
decentralized
AI
TA
technology
into
more
Computer
Science
and
STEM
courses
by
utilizing
AI
inference
power
under
a
distributed
Gaia
Network. 

This
partnership,
which
transcends
mere
technological
advancement,
aims
to
enhance
educational
accessibility
and
serves
as
a
precursor
for
the
application
of
decentralized
AI
across
diverse
sectors.
Additionally,
it
aims
to
create
a
distributed
network
of
GenAI
Agents
that
is
not
in
control
of
a
centralized
person
or
entity.
By
integrating
GaiaNet
into
higher
education
curriculum,
a
practical
demonstration
of
how
decentralized
AI
can
innovate
beyond
traditional
boundaries
is
set
in
motion,
marking
a
significant
step
towards
making
high-quality
education
more
accessible
and
efficient.

In
addition
to
building
the
network
infrastructure,
funding
will
support
the
development
of
new
AI
training
models
for
developers
and
private
data
holders.
It
will
also
help
to
increase
the
number
of
network
nodes
that
once
combined,
have
the
potential
to
rival
the
AI
capability
of
ChatGPT
3.5
and
beyond. 

“While
centralized
servers
with
limited
data
dominate
most
AI
agents
and
applications
in
the
market,
GaiaNet’s
distributed
network
opens
up
endless
possibilities
for
both
users
and
developers
to
collaborate
with
AI
agents,”
said
Lucas
Lu,
CEO
of
ByteTrade
Lab.
“Investing
in
GaiaNet
further
serves
Bytetrade’s
commitment
to
continue
innovating
and
establishing
a
user-centric
decentralized
Internet
network.” 

GaiaNet
arrives
at
a
time
when
there
is
a
growing
demand
for
decentralized
alternatives
to
existing
centralized
large
language
models
(LLMs),
which
are
controlled
by
tech
giants
like
Microsoft
and
Google.
While
many
projects
are
focused
on
decentralizing
computing
and
data
power,
GaiaNet
is
uniquely
focused
on
decentralizing
central
AI
inferencing
servers
like
ChatGPT
and
boldly
challenges
the
centralized
industry
giants
that
have
dominated
the
AI
lifecycle,
from
data
collection
to
model
training
and
fine-tuning. 

The
launch
of
the
testnet
and
software
developer
kit
(SDK)
on
GaiaNet
is
scheduled
for
early
Q3
2024
and
product
alpha
testing
already
began
in
Q2
2024.
Those
interested
in
being
among
the
first
to
beta
test
GaiaNet’s
capabilities
should
visit www.gaianet.ai and
follow @GaiaNet_AI for
more
information. 

About
GaiaNet

GaiaNet
stands
as
a
trailblazer
in
decentralized
AI
technology,
dedicated
to
reshaping
the
tech
industry
with
a
focus
on
user
privacy,
transparency,
and
control.
Our
cutting-edge
open
network
infrastructure
empowers
users
by
ensuring
privacy
and
censorship
resistance
in
daily
AI
activities
through
a
dynamic
network
of
peer-to-peer
edge
nodes.
This
framework
fosters
the
creation
and
collaboration
of
innovative
AI
business
ecosystems,
benefiting
both
private
data
holders
and
developers.
GaiaNet
aims
to
revolutionize
the
user
experience
with
AI
agents,
seamlessly
introducing
transformative
changes
while
preserving
the
intuitive
technology
and
satisfaction
currently
existing
in
the
Web2
era. 

Website: www.gaianet.ai

Github: https://github.com/GaiaNet-AI 

Twitter: @GaiaNet_AI