Where Agentic AI Meets Engineering Discipline
The next wave of enterprise value isn't just AI. It's agents that act inside the business. For emerging ISVs, that means moving faster: solving backlogs, shipping MVPs to production, and adding core features without rebuilding from scratch.
As an AWS AI Service Competency Partner, Cybage brings the frameworks, the AIDLC methodology, and the engineering discipline to bridge the gap between a pilot and production. AI behaves differently once it's live. We build for that reality from day one, turning agentic product engineering into a repeatable growth engine for emerging ISVs.
30+
Years of Engineering Excellence
230+
Enterprise Clients
60+
Ongoing AWS Implementations
Innovation Accelerated, Strategically
Through its Strategic Collaboration Agreement (SCA) with AWS, Cybage helps remove the barriers that typically stall AI adoption: cost, complexity, and the gap between a working pilot and a production system. AWS-backed funding can cover a substantial portion of both the assessment and the build. We cover everything else.
The approach is structured by design. Entry starts with a Business Value Assessment (BVA) that maps the use case, defines the architecture, and quantifies ROI before a single line of code is written. From there, the engagement progresses through AIDLC into a pilot (MVP) built on Amazon Bedrock and AgentCore and toward enterprise scale. Human-in-the-loop governance, identity, memory, and observability built in from day one. No re-architecting later.
Your next agent is closer than you think.
Let's map the use case, define the architecture, and build it right.
Success Story
From Manual Workflows to Natural Language Operations
A global network security leader was losing agility to manual firewall operations across complex, multi-tenant environments. Cybage deployed a cloud-native agentic AI architecture on AWS: Bedrock for natural language to API translation, OpenSearch Serverless for semantic retrieval, and PrivateLink to keep every integration governed and private.
- Reduced time-to-task– Routine diagnostics and admin workflows, automated
- Operator productivity up – No specialist dependency for
multi-tenant management - Enterprise scale – Built for thousands of users without re-architecting
- Zero data exposure – Fully private, governed AWS integration
Testimonials
What Our
Clients Achieved
We needed to rapidly develop and deploy a secure, scalable chatbot for our managed service providers. In close collaboration with the AWS Generative AI Innovation Center, Cybage enabled us to migrate from an open-source solution to Amazon Bedrock in a matter of weeks. Their team guided us through leveraging FMs and embedding models in Amazon Bedrock, and using Amazon Bedrock Guardrails, OpenSearch, and AWS PrivateLink, helping us quickly move from prototype to a production-ready solution. This approach significantly improved our security posture and reduced operational complexity. Cybage's deep technical expertise and strong collaboration with AWS were instrumental in accelerating our AI transformation.
A Global Cybersecurity Leader
