Scale AI’s Series D: Expanding our Team to Empower AI Dreamers
Today we are excited to share several key updates that build on Scale AI’s
mission to accelerate the development of AI.
First, we are officially announcing Scale’s Series D funding round. Following
our Series C fundraise last year, Scale has raised $155M at a post-money
valuation north of $3.5B led by Tiger Global.
We are in the midst of one of the most impactful technology transformations of
human history with AI. The potential applications of AI are going to deeply
improve the world: scalable medical diagnosis to everyone in the world,
massive reduction in driving accidents, goods which are dramatically cheaper
to manufacture and transport, and much more. What’s holding us back from
building those dreams is lack of infrastructure. While many organizations are
adopting AI, they are forced to build their technology stack from scratch,
significantly slowing progress.
Four years ago, we recognized this problem and sought to unlock the
bottlenecks holding back AI development. We started by building a platform
that solves the necessary, foundational layer that fuels all machine learning
models: large annotated datasets. Our solution gives developers the ability to
send data to our platform through the Scale API and receive high-quality
training data that’s ready for building production-grade AI algorithms. We use
a combination of machine learning and human intelligence to annotate tens of
millions of data points per week for hundreds of customers like OpenAI,
DoorDash, Pinterest, General Motors, NVIDIA, Nuro, and Toyota.
We’ve chosen to stay focused on the applications of AI with the greatest
potential for impact: autonomous driving, government, and cutting-edge
consumer technology. As AI has transformed every industry, we’ve continued to
see demand for our platform to grow—from e-commerce and AR /VR to relevance
& personalization and financial services. We are still very early in the
journey of AI, and we remain optimistic about all the future dreams we will
support.
Our team is tackling the next bottleneck in AI development: managing the full
life cycle of AI development across teams. Building and deploying scalable
machine learning infrastructure is slow, manual and costly, and in August we
launched Nucleus to enable seamless
collaboration across the AI development cycle. Teams can visualize and
organize their datasets, test and compare models, and share data with
colleagues. With Nucleus, our goal is to become the mission control for your
data, and over time we’ll be rolling out support for more data types and
adding more features to make developing AI easier and faster than ever.
As part of today’s announcement, we are also excited to announce the
acquisition of Helia AI. Helia’s team brings deep expertise in applying AI
to real-time video, from core algorithm development to necessary AI
infrastructure. Their AI infrastructure experience aligns closely with what
we’re building with Scale Nucleus, and the Helia team will help advance the
Scale platform as we expand its capabilities.
We look forward to continuing our work of building AI infrastructure with
Scale’s hundreds of customers, and our new funding will allow us to
accelerate hiring, expand to new markets and build more robust products to
match the evolving needs of AI as the technology matures. We’re still in the
early days of AI, and we believe Scale will enable a future where AI is as
easy to build and manage as any other software. If you are interested in
joining us on our mission, check out our
open positions. If you’re interested
in partnering with us, please