AWS Startups

@mukundjha @emergentlabs This is huge! We've been proud to support your growth.

Most businesses don’t need just any software. They need a way to turn how they actually work into software That’s what @emergentlabs is becoming: the operating system for businesses Today we’re announcing our $130M Series C at a $1.5B valuation to put that future in their hands

Congrats to the @emergentlabs team on their Series C at a $1.5B valuation! They're solving a real problem: giving founders and small business owners the ability to build production-ready software without dev shops or generic SaaS. Empowering builders to move at the speed of their own ideas is exactly what we're here for.

@awscloud If you're thinking of migrating, it's easier than ever to get started!

AWS Startups offers AI-powered migration planning and execution for startups moving from GCP, OpenAI, or Gemini to AWS. Generate a personalized migration plan in minutes that includes service mapping, cost estimates, architecture diagrams, Terraform templates, credit eligibility, and a step-by-step runbook. When you're ready to execute, choose the path that works for you. Use the AI Agent for guided migration, work hands-on with an AWS expert, or get matched with a certified AWS Partner.

1 year of Kiro. One for the books!

@awscloud We've worked with 350k+ startups. Yours could be next.

Are you a founder? Turn your idea into reality with AWS for Startups.

@fleet_ai @nicoup You can build with us too. Join AWS Startups: go.aws/4ygYzkY

"We kind of want to be the anti-slop company." @fleet_ai is building the worlds where agents go to practice before they show up to work. @nicoup, Founder and CEO, and Kyle Archie, Member of Technical Staff, share how they got here and what's coming next.

@PeptoneLtd @nvidia #NVIDIAInception Learn more about AWS and NVIDIA: go.aws/4w29UEk

.@PeptoneLtd is a biotech company that uses @nvidia GPUs on AWS infrastructure for AI-driven drug discovery. They are working towards the goal of developing drugs against not only tumors but also inflammatory diseases and neurodegenerative diseases. AWS cloud operations. The ability to scale from zero to hundreds of GPUs in a matter of minutes. NVIDIA's reliability, availability, and cost of GPUs. All aiding Peptone in AI-driven drug discovery.

Learn more: go.aws/4friSos

Made in London with AWS: Andi Hueck, Head of ML Engineering, Zego. The UK has a competitive insurance industry and London is home to some of the sector’s biggest names. That's not stopping Zego from standing out. Zego is using tools like Amazon SageMaker and utilizing support from the AWS team to differentiate themselves and contribute to London’s ambitious startup community.

@nvidia Learn more about AWS and NVIDIA: go.aws/4f2mJXA

Cambrium is pioneering the future of chemical manufacturing by designing novel material building blocks using biotechnology and AI. Their infrastructure, built with AWS and @nvidia, enabled early-stage simulation of potential failures. They streamlined development and ensured every step in real-world manufacturing succeeded on the first try. This helped Cambrium go from concept to market in under two years.

@polyaivoice Learn more: go.aws/3SBQCa1

Made in London with AWS: Eddy Su, Co-founder at @polyaivoice. As “one of the best financial/tech hubs in the world,” London was the natural choice to launch and build a business, says Su. PolyAI is now reaching more customers thanks to London’s strategic location and accelerating its win rate thanks to AWS Marketplace.

@emergentlabs Learn more: go.aws/4eTHEfw

How did 8.5 million people build software on @emergentlabs without writing code? The startup is taking a different approach to AI-powered coding, helping entrepreneurs and small business owners build apps without writing a single line of code. Working with AWS, Emergent has built the infrastructure needed to scale rapidly, supporting 8.5 million users across 190 countries.

@weaviate_io @nvidia Learn more about AWS and NVIDIA: go.aws/3RalrlC

.@weaviate_io is an AI-native vector database that allows you to store data objects and vector embeddings from your favorite machine learning models while scaling seamlessly into billions of data objects. AWS and @nvidia work together in an ecosystem to deliver cost performance and efficiency for Weaviate. Weaviate is available in AWS Marketplace, making deployment within an AWS environment straightforward and accessible.