As generative AI evolves from buzzword to business driver, many enterprises find themselves stuck in the “proof of concept” phase. Cybage, a global IT services company, is looking to change that—with a major boost from Amazon Web Services (AWS).

In a newly inked Strategic Collaboration Agreement (SCA), Cybage and AWS aim to bridge the gap between Gen AI experimentation and real-world execution. At the core of the partnership is Amazon Bedrock, AWS’s fully managed service offering a menu of top-tier foundation models. With this collaboration, enterprises can finally bypass the usual Gen AI roadblocks—like high upfront costs, architectural complexity, and a lack of internal expertise.

From Prototype to Production, Fast

This isn’t just about access to tools. The agreement brings a blend of AWS cloud-native infrastructure, funding for eligible Gen AI projects, and Cybage’s engineering know-how to accelerate deployments.

For customers, this means:

• Faster Gen AI rollouts using Amazon Bedrock

• Migration support from open-source or legacy AI solutions

• Greenfield development for new Gen AI applications

• Technical and financial support for proof-of-concept to production-ready systems

AWS will provide targeted funding for qualifying proof-of-concept, pilot, and enterprise-scale Gen AI use cases, giving companies a financial on-ramp to transformation.

Why Cybage?

Cybage isn’t new to this space. With a two-year track record in Gen AI R&D and enterprise deployments, the company brings deep expertise in data engineering, cloud modernization, and AI solution delivery. Its ExcelShore® framework underpins project execution, while its proprietary Gen AI platform, SmartPal, offers secure RAG (Retrieval-Augmented Generation) with built-in guardrails and agent capabilities.

Think of SmartPal as a Gen AI accelerator: it helps teams quickly prototype and deploy real-world AI applications without compromising on governance or security.

SonicWall: A Case Study in Speed and Scale

A recent collaboration with cybersecurity firm SonicWall illustrates how this partnership plays out. Faced with the need to deploy a secure, scalable chatbot for managed service providers, SonicWall turned to Cybage and the AWS Generative AI Innovation Center.

In just a few weeks, they migrated from an open-source solution to a production-grade system built on Amazon Bedrock. The implementation used Amazon Bedrock Guardrails, AWS PrivateLink, and OpenSearch—substantially enhancing security while slashing operational complexity.

“Cybage enabled us to migrate and launch a fully secure, scalable Gen AI chatbot in weeks—not months,” said Denis Branco, EVP at SonicWall. “Their guidance and AWS alignment were key to our transformation.”

Enterprise-Ready AI, with Guardrails On

In a market flooded with Gen AI hype, the Cybage-AWS collaboration stands out for its focus on responsible, scalable deployment. Cybage’s Gen AI delivery model emphasizes:

• Human-in-the-loop validation

• Transparent, explainable model behavior

• Robust security and governance controls

• Built-in compliance guardrails

“Realizing AI’s potential requires more than ambition—it demands structure,” said Kiran Kembhavi, SVP of Cloud, Data, and AI at Cybage. “By aligning with AWS and leveraging Amazon Bedrock, we’re helping enterprises move beyond the pilot stage and into value-generating territory.”

Market Implications

With this agreement, Cybage positions itself alongside a growing list of AWS partners using Bedrock to streamline Gen AI adoption. But unlike some peers still focused on experimentation, Cybage is doubling down on implementation at scale—an area many companies struggle with.

For organizations ready to transition from hype to hard ROI, this partnership offers a clear path: proven tools, expert support, and a fast track to production.

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