The announcements cover hardware, software, cloud services, and partnerships with companies like Lyft, Sony, and Visa.

The focus this year is on giving businesses better management over AI systems. AWS CEO Matt Garman spoke about how AI agents can drive tangible business results.

“AI assistants are starting to give way to AI agents that can perform tasks and automate on your behalf,” he said during the keynote. “This is where we’re starting to see material business returns from your AI investments.”

Powerful Chips and UltraServers

AWS introduced the Trainium3 chip and UltraServer systems, promising up to four times faster AI training and inference while using 40% less energy.

Trainium4, already in development, will be compatible with Nvidia’s chips, signalling AWS’s intent to bridge proprietary and third-party hardware ecosystems.

AI Agents Evolving

AWS also expanded its AgentCore platform. Features like Policy allow developers to set clear boundaries for agents, while new memory and evaluation capabilities let AI agents remember interactions and be tested against 13 prebuilt evaluation systems.

Among the new “Frontier agents,” the Kiro autonomous agent stands out, writing code and learning team workflows to operate independently for hours or even days. Additional agents focus on security and DevOps tasks, helping teams prevent errors and manage operations more efficiently.

Nova AI and Customisation

Amazon’s Nova family of AI models grows with four new releases, including three text-generation models and a multimodal model that handles text and images. Nova Forge introduces “open training,” enabling organisations to fine-tune pre-trained models with proprietary data.

Companies like Reddit and Hertz are already leveraging Nova to replace multiple specialised models or accelerate development velocity.

Real-World Applications

AWS customers demonstrated practical impacts. Lyft’s AI agent, built with Anthropic’s Claude model via Amazon Bedrock, now resolves driver and rider queries 87% faster and has increased driver adoption by 70%.

Christina Minardi from Amazon noted sustainability applications: “By working with Trane Technologies and the BrainBox AI team, we’re turning our buildings into intelligent systems that learn and adapt, helping us meet both our sustainability and performance goals in real time.”

Other partners showcased broad enterprise use cases. Sony is deploying AWS-powered AI platforms internally and through the Sony Engagement Platform, processing 760 terabytes of data daily to enhance fan experiences.

Nissan’s cloud-based software platform for vehicles has reduced testing time by 75%, while Visa and AWS are enabling AI agents to conduct secure, autonomous transactions.

Data Control and Sovereignty

AWS also introduced AI Factories, which allow companies and governments to run AWS AI in their own data centres. Combining Nvidia GPUs with Trainium3 chips, the system meets regulatory and data sovereignty requirements without sacrificing performance.

Cloud Services and Storage Upgrades

Several AWS services received significant updates. Amazon S3 now supports objects up to 50TB and scales to two billion vectors per index for AI search, while S3 Tables introduces automatic replication and cost-optimising Intelligent-Tiering.

CloudWatch unifies operational, security, and compliance logs for easier insights, and EMR Serverless eliminates local storage provisioning for Apache Spark jobs, cutting costs by up to 20%.

Enhanced Support and Security

AWS also announced upgraded support plans, combining faster AI-assisted responses with expert guidance. Amazon GuardDuty Extended Threat Detection now covers EC2 and ECS environments, while Security Hub offers near real-time risk analytics across multiple AWS services.

Expanding Partnerships

Adobe, Deepgram, BlackRock, and WRITER highlighted collaborative initiatives. Adobe is using AWS for AI-powered creative tools, Deepgram for enterprise voice solutions, BlackRock for Aladdin investment technology, and WRITER for securely scaling enterprise AI agents.

The announcements underline AWS’s strategy to embed AI across infrastructure, enterprise software, and real-world operations.

Starting from autonomous coding agents to sustainability-driven building systems, the AWS re:Invent 2025 conference revealed how businesses are starting to rely on AI agents not just as tools, but as autonomous collaborators.

The company’s platform, which serves over two million users monthly, aims to reduce the typical 79-day purchase decision cycle to under a single day.

Shopping online has become a complex, time-consuming task. Consumers bounce between tabs, sift through over-optimised product listings, and struggle to separate real reviews from marketing spin. 

Onton’s founders saw the stress firsthand. “We are building the future of decision making online,” said Zach Hudson, CEO and co-founder of Onton. “People deserve a way to shop that feels intelligent, transparent, and effortless. Onton is designed to remove the friction that slows everyone down and to give users absolute confidence in their choices.”

The startup’s platform combines a novel neurosymbolic AI foundation with a new interface, enabling users to search using natural language, images, or both. It consolidates information from across the web into single, trustworthy product listings. 

Users can also leverage creative tools like Imagine and Surfaces to visualise and instantly find items they dream up. Onton reports a conversion rate three times higher than the industry average, with over 20% of users engaging weekly.

Onton’s journey began when co-founders Alex and Zach recognised a similar problem which was spending countless hours hunting for products. 

Alex spent 30 hours searching for a mid-century gray couch, while Zach had been researching trust in online reviews. After meeting at a YC Startup School event, they combined their expertise, launched early versions of the product, and scaled monthly users from one million with four employees at the start of 2025 to ten today, with five more hires expected soon.

The current funding round, led by Footwork and joined by Liquid 2, Parable Ventures, and 43, brings Onton’s total capital to approximately $10 million. The investment will support product expansion, team growth, and international scaling.

Consumers are demanding smarter search tools. Unverified online content, disappearing trusted product recommendations, and brands locking information behind walled gardens have created new pressures. 

Onton was built as an intelligent assistant rather than a simple search engine, helping users cut through the noise and make fast, confident decisions.

Users report tangible benefits. One described finding quality products aligned with his interests without spending hours researching. Another confirmed that Onton reassured her items were unique, allowing her to purchase with confidence rather than continuing endless browsing. Heavy users are conducting over 100 searches and product generations monthly.

Onton plans to expand beyond home décor and furniture into apparel and electronics, guided by existing user demand in online shopping. The company will continue refining its knowledge graph, enhancing its data pipeline, and preparing a personalised search experience adaptable to individual needs. 

Its ultimate goal is to become a global decision-making tool for any product in any category, anywhere in the world.

The collaboration will merge Honeywell’s industrial data from its Forge platform with Google Cloud’s advanced AI technology, creating solutions to enhance autonomous operations for companies across multiple industries.

Scheduled to launch in 2025, these AI-driven solutions will provide businesses with benefits such as reducing maintenance expenses, increasing productivity, and enabling employee development. 

Honeywell’s expertise in industrial processes combined with Google Cloud’s AI capabilities promises to bring changing insights to enterprises, enabling them to simplify operations and make informed decisions with ease.

Vimal Kapur, CEO of Honeywell, explained that the partnership with Google Cloud will allow industries to bridge physical and digital operations effectively. 

According to Kapur, this collaboration will help companies optimise asset performance, improve workforce efficiency, and refine operational processes.

Thomas Kurian, CEO of Google Cloud, also spoke on the importance of this partnership, speaking on the role of AI in unlocking new opportunities for industrial innovation. 

Integrating Honeywell’s data expertise with Google’s cutting-edge AI technologies will enable industrial organisations to be better prepared to address operational challenges and maximise their overall output.

One of the immediate applications will include AI-powered agents tailored to the specific needs of engineers and technicians, enabling faster problem resolution and reduced project timelines. 

These tools will allow users to handle data from various sources, such as images, videos, and sensor readings, which are critical for industrial maintenance and design tasks. 

Again, the collaboration will enhance cybersecurity measures by incorporating Google Threat Intelligence into Honeywell’s existing security platforms to protect industrial infrastructures.

This venture follows the industrial sector’s issues with labour shortages, particularly as the baby boomer generation retires. 

The AI tools developed through this partnership are expected to help mitigate these challenges by enhancing workforce capabilities without replacing jobs. 

Honeywell’s recent report also reveals that while many companies have started exploring AI, only a small percentage have fully implemented these technologies, signalling the need for effective AI adoption in the sector.

In the meantime, both companies aim to explore further advancements in edge computing, with the possibility of more intelligent devices that can function independently of cloud-based systems. 

Honeywell’s focus on innovation, alongside Google Cloud’s expertise in AI, will ensure this partnership boosts resilience in industrial automation.

Honeywell has a longstanding history in industrial solutions, while Google Cloud continues to expand its AI services across various sectors, making this collaboration a promising venture for future advancements in autonomous operations.

Pascal Minvielle has been appointed Chief Operating Officer (COO). In his new position, Pascal will be responsible for the operations of Webb Fontaine and will oversee the planning, implementation, management, and oversight of Webb Fontaine’s global initiatives.

Ara Shamirzayan has been appointed Chief Technology Officer (CTO). In his new role, Ara will direct Webb Fontaine’s development of technology for global trade, as well as foster technological innovation across Webb Fontaine’s R&D centers, the largest in the industry.

“The expansion of Webb Fontaine’s current relationships as well as the formation of new ones has enabled the company to keep up an astonishingly rapid rate of expansion.

Webb Fontaine currently has over one thousand employees located all over the world, making us a truly exceptional and invaluable offering to the trade community.

The recent changes to the executive leadership team were made in order to power this expansion and serve our customers better.” Alioune Ciss, Chief Executive Officer.