
AWS GenAI Solutions
Deploying over 10 custom Generative AI platforms, accelerating the launch of new technologies and increasing value on AWS.
Deploying over 10 custom Generative AI platforms, accelerating the launch of new technologies and increasing value on AWS.
Accelerating enterprise Generative AI initiatives, reducing time-to-market, and enhancing operational efficiency with AWS.
Company
Client
Caylent
Location
Irvine, California, US
Industry
Cloud Technology
Services
Cost Savings: Reduced infrastructure costs by an estimated 20% for end clients through optimized AWS utilization.
Valere partnered with Caylent, an AWS Partner of the Year, to deliver cutting-edge Generative AI (GenAI) platforms powered by AWS Bedrock and Retrieval-Augmented Generation (RAG). This collaboration empowered 10+ enterprises across various growth stages, from Series Seed to Series E, to achieve scalability, streamline workflows, and gain a strategic advantage through innovative AI-driven solutions.
Caylent, through the AWS GenAI program, required rapid development of over a dozen enterprise-grade Generative AI platforms to cater to organizations at varying growth stages. Each solution had to be customized to act as a knowledge hub and strategic tool for clients, addressing diverse needs such as profit and loss generation, job posting creation, and cost analysis (e.g., CAC). The task involved building solutions that went beyond generic chat functions to offer actionable insights and automation capabilities.
We have been collaborating with Valere for over a year. Their team is professional and possesses the depth of technical expertise that is required. What truly sets them apart is their commitment to consistent delivery and outstanding results. Pair that with an engaging and enjoyable partnership experience and you have the whole package.
Solution
Funded by Amazon, Valere designed and developed over 10 custom Generative AI platforms using the RAG framework. These platforms leveraged Retrieval-Augmented Generation techniques, internal datasets, and Bedrock-supported Large Language Models (LLM) to help organizations accelerate the launch and implementation of new technologies that deliver tangible value. Key actions included:
Results
Valere's collaboration with Caylent achieved remarkable outcomes: