The Challenge
Caylent required the rapid development of over a dozen enterprise-grade Generative AI platforms to meet the diverse needs of organizations at various growth stages. The primary bottleneck was moving beyond generic chat interfaces to create customized tools capable of complex tasks like profit and loss generation and cost analysis. Each solution had to be built with high precision while maintaining strict compliance and security standards for client-specific datasets.
Solution Implemented
Valere delivered a series of custom platforms utilizing the Retrieval-Augmented Generation (RAG) framework and AWS Bedrock-supported Large Language Models (LLMs). The implementation included building multi-modal AI chatbots integrated into existing data ecosystems to ensure accurate, relevant outputs. By standardizing a rapid deployment workflow, Valere was able to deliver these sophisticated, secure, and compliant solutions within 2-6 week timeframes per project.
About the Company
Mission
Caylent is an AWS Partner of the Year dedicated to helping enterprises achieve scalability and strategic advantages through cloud-native services. They specialize in AI digital transformation, offering services that include Generative AI, machine learning, and solution modernization. By partnering with organizations across all growth stages, Caylent simplifies the adoption of cutting-edge technologies to drive operational efficiency.
Key Leadership
Clayton Davis (Senior Director) oversees strategic collaborations within the AWS GenAI program. He sought a partner with deep technical expertise and a commitment to consistent delivery to handle the high-volume demand for custom AI platforms. His vision emphasized not only technical competence but also an engaging partnership experience that ensures outstanding results for AWS end-clients.
The Challenge: Developing Custom RAG-Powered Platforms to solve rapid technology adoption bottlenecks
When Caylent engaged Valere through the AWS GenAI program, they faced the daunting task of producing a high volume of sophisticated AI tools in a very short window.
The primary technical hurdle was building solutions that could perform actionable automation, such as job posting creation and P&L generation, rather than just providing generic conversational responses.
Each platform had to be seamlessly integrated into diverse, existing data environments to ensure that the outputs were both accurate and contextually relevant to the specific enterprise.
The inability to rapidly deploy these tools meant that AWS clients were delayed in realizing the value of Generative AI, potentially stalling their competitive advantage in the market. For Caylent, meeting the high demand required a development partner who could maintain quality without sacrificing speed.
Because these platforms handled internal datasets for enterprises in various industries, ensuring strict data compliance and security was a non-negotiable requirement for every build.
Why Caylent Partnered with Valere for AI Native Solution Development
As an AWS Premier Consulting Partner, Caylent holds a high bar for technical execution. They were not looking for surface-level UX support or experimental AI demos. They needed a partner capable of collaborating with product owners and end users to design thoughtful wireframes and user flows, while also building production-ready generative AI proof of concepts that interacted with LLMs and vector databases.
Valere stood out for three primary reasons.
First, cultural alignment. The engagement began through referral, and from the outset there was strong alignment in values, pace, and expectations. For a consulting organization with 500 to 1,000 employees, culture fit is not a soft factor. It directly impacts collaboration speed and trust.
Second, dual capability across UX and GenAI engineering. Caylent engaged Valere across two distinct workstreams. One focused on user experience design, where the team worked closely with stakeholders to translate requirements into structured wireframes and use flows. The other centered on generative AI POCs, requiring backend and frontend development, LLM integration, vector store implementation, and delivery of working demos with handoff documentation. The ability to execute across both disciplines reduced friction and ensured cohesion between design intent and technical implementation.
Third, flexibility and partnership mindset. Even though Caylent managed the project internally, Valere integrated smoothly into their operating rhythm. The client specifically highlighted Valere’s willingness to collaborate and find the best outcome rather than rigidly adhering to scope boundaries. That adaptability is often what differentiates a vendor from a long-term partner.
Ultimately, Caylent selected Valere because they could trust the team to deliver high-quality UX artifacts and GenAI prototypes on time, while maintaining a collaborative, solution-oriented approach throughout the engagement.
"Valere operates as a true extension of your team rather than a vendor. They integrated seamlessly into our delivery model, it never felt like a Caylent/Valere separation but rather one unified team fully aligned on our project standards. What impressed me most was their genuine commitment to excellence. Even when the customer provided positive feedback with minimal improvement requests, Shivani and Harshit remained eager to iterate and improve. This ownership mentality and care for quality outcomes is rare and speaks to their professional integrity."
The Solution: Engineering Custom Generative AI Platforms with AWS Bedrock to accelerate market entry by 60%
Valere went on to design and develop more than ten custom AI platforms, fundamentally changing how enterprise teams access and operationalize their internal data. Each engagement was tailored, yet built on a scalable architectural backbone that ensured long-term adaptability.
At the foundation was a robust, multi-modal framework powered by Amazon Web Services. For compute and model orchestration, Valere leveraged AWS Bedrock-supported large language models to deliver high-performance AI inference in secure environments. To ensure those models could interact meaningfully with proprietary data, the team implemented a Retrieval-Augmented Generation architecture, safely connecting LLMs to internal datasets without exposing sensitive information. The cloud infrastructure itself was designed for durability and scale, capable of supporting companies ranging from Seed-stage startups to Series E enterprises.
What differentiated the approach was not just the architecture, but the workflow. Valere established a repeatable yet highly customizable integration model that accelerated delivery without sacrificing precision. Each dataset was carefully structured and mapped to the client’s unique business logic, ensuring compliance and contextual accuracy. On top of that foundation, the team built actionable automation layers, including modules for cost analysis, profit and loss generation, and workflow orchestration that translated raw data into executive-ready insights.
Execution followed a high-velocity, phased implementation model:
- Discovery & Integration: Aligning with client-specific data ecosystems.
- Custom Development: Building RAG-powered functionalities within 2-6 weeks.
- Documentation & Handoff: Providing future-ready recommendations and full documentation for every platform.
The Results
The collaboration between Valere and Caylent significantly accelerated the adoption of Generative AI across the AWS ecosystem, providing clients with immediate operational value.
Key Outcomes
Efficiency & Scalability Gains:
- Reduced Generative AI time-to-market by 60%.
- Improved client workflow automation, saving an average of 15 hours per week per solution.
- Delivered solutions within 2-6 weeks, reducing typical development time by 50%.
Technical Performance:
- 100% successful deployment rate into client workflows.
- Accelerated client technology adoption by over 200%.
Business Growth & Cost Savings:
- Reduced infrastructure costs by an estimated 20% for end clients through AWS optimization.
- Strengthened Caylent’s reputation and strategic standing within the AWS ecosystem.
The Client’s Perspective
"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.”
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