Generative AI

• Startup’s guide to GenAIOps on AWS part 3: Towards production excellence (opens in a new tab)
  In part 3 we show you how to handle scaling demands without sacrificing speed of innovation.

• Startup’s guide to GenAIOps on AWS part 2: Essentials (opens in a new tab)
  In Part 2, we provide actionable guidance for implementing the essential components that will take you from prototype to production-ready solutions.

• Startup’s guide to GenAIOps on AWS part 1: Future-proof your AI stack from day one (opens in a new tab)
  By integrating GenAIOps into your operations from day one, you can streamline your workflows and position yourself for long-term success in an increasingly AI-driven world.

• AI has found its voice, and startups are listening (opens in a new tab)
  Improvements in performance and latency have enabled the potential applications of voice AI to skyrocket. From call centers, to hospitality, healthcare, and language learning—new possibilities seem to present themselves by the day.

• Scale your startup smarter: Essential generative AI use cases (opens in a new tab)
  In this post, we’ll look at how startups leverage generative AI to power user experiences, transform operations, deliver real-time insights, and foster creativity.

• A seven-step checklist to get your generative AI application security-ready (opens in a new tab)
  We’ve developed a seven-item checklist outlining the essential security and compliance measures you should consider when moving your generative AI-powered applications from experimentation to production.

• AWS Generative AI Accelerator seeks the next generation of global AI leaders (opens in a new tab)
  Applications are now open for GAIA 2025. The 2025 cohort will receive unmatched benefits designed to accelerate both technical growth and market traction, including up to $1 million in AWS credits.

• How generative AI is changing the startup landscape (opens in a new tab)
  Discover how startups can harness, contribute, and use generative AI for a future-ready journey.

• Meet your AWS Startup generative AI support team (opens in a new tab)
  Find out how to unlock unparalleled support for your generative AI startup from dedicated AWS experts.

• Choosing the right generative AI learning path (opens in a new tab)
  The right learning resources can enhance your understanding of generative AI and empower your organization to leverage this technology across many different use cases.

• Should I learn AWS Lambda as a startup founder? (opens in a new tab)
  In this guide, we’ll explore AWS Lambda, how it works, and the many benefits it offers startups, from automating workflows to enhancing application performance.

• Selecting the right foundation model for your startup (opens in a new tab)
  Learn how to build a generative AI application — get products to market as quickly as possible, while maintaining cost efficiency and high performance.

• VC perspectives on generative AI for Latino startups (opens in a new tab)
  Investors share their insights on how to secure funding for your startup, when to incorporate generative AI into your product, and the competitive advantages of being a startup in the generative AI industry.

• Optimize the cost of generative AI for your startup (opens in a new tab)
  Discover how to optimize costs when building with gen AI. Learn which factors have the greatest influence on your solution’s cost and how to optimize them.

• 6 questions startup founders ask about generative AI (opens in a new tab)
  Racing to unlock generative AI’s potential? Not sure what to do next? Learn how to start improving business outcomes with generative AI today.

Featured Startups

• Twelve Labs pioneers AI video intelligence on AWS (opens in a new tab)
  Twelve Labs is a fast-growing startup using generative AI to process vast amounts of video data, empowering its customers with next generation video intelligence.

• How poolside pioneers AI assisted software development on AWS (opens in a new tab)
  See how our partners at poolside are turning millions of developers into billions.

• Leonardo AI drives tech evolution using generative AI on AWS (opens in a new tab)
  When Leonardo’s legacy architecture couldn’t handle the sudden increase in traffic, AWS was there to help their team succeed.

• How Proto is bringing cutting-edge avatars to life with Amazon Bedrock (opens in a new tab)
  Proto migrated to Amazon Bedrock to create lifelike AI avatars with generative AI using Anthropic’s Claude model.

• Boosted.ai’s generative AI portfolio manager surfaces near-instant finance insights with AWS (opens in a new tab)
  In 2020, Boosted.ai expanded their artificial intelligence (AI)-powered financial analysis platform—Boosted Insights.

• How Patronus AI helps enterprises boost their confidence in generative AI (opens in a new tab)
  With its AI-driven automated evaluation and security platform, Patronus helps its customers use large language models (LLMs) confidently and responsibly.

• Technology that teaches empathy? How mpathic uses AI to help us listen to each other (opens in a new tab)
  What if artificial intelligence (AI) could augment our ability to really listen and truly relate to others?

• How climate tech startups use generative AI to address the climate crisis (opens in a new tab)
  At AWS, we are seeing generative AI transform how humans and business use technology to solve some of the world’s most challenging problems.

• Meeting.ai automates time-consuming meeting tasks with Amazon Bedrock (opens in a new tab)
  Powered by generative AI, Meeting.ai enables users to spend more time engaged in meetings, and less time trying to recall key takeaways after the fact.

• Crate builds with generative AI on AWS to reimagine online spaces (opens in a new tab)
  Anna Bofa’s ambition for Crate is to create an internet where the user does not go out looking for content—the best of the internet comes to them.

• Sign-Speak builds with AI on AWS to create accessible experiences (opens in a new tab)
  Meet Sign-Speak, an innovative startup who builds language software on AWS that recognizes American Sign Language (ASL) and translates it into spoken words.

Generative AI Technical Resources

• Build AI agents that scale: Serverless architecture on AWS (opens in a new tab)
  In part 1, discover how to build, run, and scale agentic AI with minimal resources and maximum results.

• Building generative AI applications for your startup (opens in a new tab)
  Learn how to build a generative AI application that can help your startup get its product to market as quickly as possible.

• Anthropic Claude 3: Next-gen models on Amazon Bedrock (opens in a new tab)
  Dive into Anthropic’s new Claude 3 family of models on Amazon Bedrock with these key facts for developers.

• Conquering large-scale inference (opens in a new tab)
  Ensure efficient, effective inference processes on deep learning models, from optimizing computational resources to leveraging parallelization and distributed systems.

• Data-centric AI development in the FM/LLM era (opens in a new tab)
  Explore the world of generative AI tools and learn ways to adapt ML models—including multi-billion parameter foundation models—to custom use cases.

• Build and deploy a cutting-edge generative AI application with LangChain and Amazon Bedrock (opens in a new tab)
  Explore tips to leverage open-source tools to seamlessly integrate the LangChain platform on AWS to build and deploy cutting-edge generative AI applications.

• How to take a generative AI proof of concept to production (opens in a new tab)
  Learn the steps to build a generative AI proof of concept and safely deploy it into production, featuring startup Loka.

• What to do before you launch your generative AI solution (opens in a new tab)
  Learn the key considerations and decisions you should make before launching your generative AI proof of concept on AWS.

Trends and Insights

• Mapping the trajectory of generative AI: from learning to impact (opens in a new tab)
  Explore the transformative power of generative AI across industries and how today’s learnings are paving the way for the future of responsible tech.

• Seeing is believing: Using AI to validate media authenticity (opens in a new tab)
  Doctored photos, deepfake videos, and voice cloning pose significant ethical risks. Learn how one startup is helping validate media authenticity.

• A new chapter in experiential content: how generative AI empowers creators (opens in a new tab)
  Learn about generative AI’s profound impact on the creative landscape and see how it’s used to revolutionize content conceptualization, development, and consumption.

• Teaching a generation to read: generative AI’s impact on education (opens in a new tab)
  Learn how one startup founder uses generative AI to transform educational content with speech perception, language models, and image generation models.

• AWS launches global generative AI accelerator for startups (opens in a new tab)
  For startups aiming to take their generative AI solution to the next level, AWS launched Generative AI Accelerator. Read on to learn how this program aims to empower startups from every industry and across the globe.

• Generative AI: The next productivity frontier (opens in a new tab)
  From automating repetitive tasks to enhancing collaboration, discover how startups use generative AI to make work more rewarding and productive.