Introducing DarcyIQ — our AI platform built to help teams move faster without sacrificing quality Explore DarcyIQ →

Categories

Agentic & Generative AI, AWS, Press Release

Innovative Solutions Announces the Availability of Amazon Nova Through Its Tailwinds Platform

Innovative is the first AWS Partner to provide its customers with access to Amazon’s new cutting-edge platform for building multimodal AI models

ROCHESTER, NY, December 3, 2024 – Innovative Solutions, a leading provider of cloud services solutions for growing businesses and a Premier Tier AWS Partner with Generative AI competency, today announced that companies can now offer access to Amazon Nova following its launch at AWS re:Invent this morning. Innovative Solutions will provide access to the new family of GenAI multimodal models through Tailwinds, the company’s new platform that accelerates the adoption and implementation of GenAI solutions for businesses of any size.

“Amazon Nova is going to be a game-changing offering for companies to enhance their GenAI capabilities, and we are excited to be the first AWS Partner that can offer access to this new technology to companies of any size,” said Justin Copie, CEO of Innovative Solutions. “In leveraging our industry-leading Tailwinds platform, our customers have already experienced the faster speed that GenAI solutions can bring to enhance their business. With the enhancements brought to market by Amazon Nova, companies will be able to further accelerate their AI initiatives and drive more impactful results.”

Amazon Nova represents a new generation of foundation models (FMs), capable of processing text, images, and video as prompts. Built on Amazon Bedrock, the new technology powers generative AI applications that can understand and generate multimedia content, including videos, charts, and documents, offering transformative capabilities for businesses leveraging multimodal AI.

Tailwinds will support Amazon Nova through its Amazon Bedrock integration, empowering businesses to:
Build enterprise-grade AI applications with enhanced performance
Leverage Amazon’s latest large language model (LLM) technologies within existing workflows
Maintain data privacy and security by using AWS infrastructure

Tailwinds is an advanced platform from Innovative Solutions that helps companies accelerate the adoption and implementation of GenAI solutions, allowing businesses to scale AI capabilities quickly and effectively to produce business results. To learn more about Tailwinds, visit www.tailwindsai.com.

Take a Closer Look at Innovative Tailwinds

Learn More and Request A Demo

For more information about how to accelerate your AI initiatives with Tailwinds or to request a demo, visit www.tailwindsai.com

Request A Tailwinds Demo

Contact Us For More Information

Related Case Studies

Forward Deployed Engineering Is How AI Moves Faster

Forward Deployed Engineering Is How AI Moves Faster

AI is moving from experimentation into execution, and forward deployed engineering gives teams a faster, more focused way to turn opportunity into working capability. By putting Forward Deployed Engineers closer to the business, the data, and the users, companies can move beyond planning and start compounding real AI value.

AI Has Outgrown the Standalone Model Call

AI Has Outgrown the Standalone Model Call

Direct API access helped companies move fast on AI, but speed has a way of becoming infrastructure. This post looks at why more AWS-centered organizations are moving Anthropic, OpenAI, and other models into Amazon Bedrock, and what to evaluate before making the shift.

ROI, Tokenomics & the AI Bubble | AI Unplugged Ep. 15

ROI, Tokenomics, and the AI Bubble

In our podcast AI Unplugged, Episode 15, ROI, Tokenomics & the AI Bubble, we talk about how the AI conversation is shifting from experimentation to accountability. Customers are no longer only asking what AI can do. They’re asking what changed, what it cost, and whether the result can be measured.

We also explore the operational reality most teams are starting to face: AI usage does not automatically equal AI value. Token consumption, generated output, and faster individual tasks only matter if they improve the workflow, reduce friction, increase consistency, or create measurable business impact.