Valere collaborated with Caylent, an AWS Partner of the Year, to deliver next-generation Generative AI platforms powered by AWS Bedrock and Retrieval-Augmented Generation (RAG). These platforms enabled enterprises from Series Seed to Series E stages to scale rapidly, streamline workflows, and gain strategic advantages through tailored AI solutions.
The Challenge
Caylent required rapid development of more than a dozen enterprise-grade Generative AI platforms, each customized to serve as a knowledge hub and strategic tool for diverse client needs. The use cases ranged from profit and loss generation to job posting creation and customer acquisition cost analysis. Solutions needed to go far beyond basic chatbot capabilities to deliver actionable insights and automation.
The Solution
Valere designed and deployed over 10 custom RAG-powered platforms funded by Amazon, leveraging internal datasets and AWS Bedrock-supported LLMs. Key actions included:
- Developing multi-modal AI-powered chatbots with robust AWS infrastructure for scalability and reliability.
- Customizing solutions with client-specific datasets to ensure compliance and security.
- Rapid deployment within 2–6 weeks per project, meeting aggressive timelines.
- Integrating seamlessly with existing data ecosystems for accurate, relevant outputs.
- Delivering comprehensive documentation and future-ready recommendations.
KPIs & Metrics
- Delivered solutions within 2–6 weeks per project (50% faster than standard development timelines)
- 100% adoption rate into client workflows
- Average of 15 hours saved per week per solution through workflow automation
- Estimated 20% infrastructure cost savings for end clients via optimized AWS utilization
- Accelerated client technology adoption by over 200%
- Reduced time-to-market by an average of 4 weeks
Impact
The collaboration positioned Caylent as a leader in AI-powered cloud solutions within the AWS ecosystem. By providing rapid, secure, and highly customized Generative AI platforms, Valere enabled clients to enhance operational efficiency, speed innovation, and maximize the value of AWS investments.
