Trigent AI LaunchPad

We begin by aligning AI strategies with your business objectives. By reviewing your current systems and AWS infrastructure, we help identify relevant generative AI opportunities. Use cases such as personalized recommendations, content generation, and search optimization are evaluated to drive impactful business outcomes.

We assess your data readiness, prepare it for generative AI processing, and design a scalable architecture. Our experts create a detailed PoC blueprint, integrating AWS services with seamless APIs, and build user-friendly front-ends via Trigent’s AI LaunchPad framework.

Utilizing AWS Bedrock, SageMaker Pipelines, and other AI tools, we develop a functional prototype. Through iterative testing, prompt refinement, and performance tuning, we ensure meaningful AI model results. We provide knowledge transfer and support for data integration, aligning the solution with your long-term goals.

The final PoC demo showcases performance optimization and business relevance. We provide comprehensive documentation, including architecture diagrams, TCO (Total Cost of Ownership) estimates, and a well-defined roadmap to scale the solution into a production-grade AI system, in line with Trigent’s AI LaunchPad methodology.

Note: Our AI LaunchPad methodology adapts based on the use case, data, and application context to ensure the most effective approach.