Caylent Catalysts™
Enhance access to your corporate assets with a custom AI chatbot powered by Anthropic Claude 3 in Amazon Bedrock. Our AI experts will deploy a production-grade prototype to your AWS environment and configure Amazon Kendra to index your data.
Caylent Catalysts™
Accelerate your generative AI initiatives with ideation sessions for use case prioritization, foundation model selection, and an assessment of your data landscape and organizational readiness.
Caylent Catalysts™
Plan and implement an MLOps strategy unique to your team's needs, capabilities, and current state, unlocking the next steps in tactical execution by offloading the infrastructure, data, operations, and automation work from data scientists.
Caylent Catalysts™
Rapidly implement a foundational low-code data lake with Caylent's data engineering experts who will also enable your teams for no-code exploratory data analysis.
Accelerate investment and mitigate risk when developing generative AI solutions.
Caylent's Generative AI Proof of Value addresses the immense potential for this technology wave to transform organizations and business models, reinvent customer experiences, create innovative new applications, and massively improve productivity. To catch the wave, it's crucial to have a partner like Caylent that can lead collaborative strategy workshops as well as execute tactically and deliver tangible results.
Our team knows that data is the fuel for your AI transformation journey. Beyond strategy, our proven expertise in training traditional ML models, designing and implementing MLOps automation, and implementing modern data strategies with our Governed Data Platform™ makes us a partner that will deliver results and ensure your AI adoption takes off.
Review the AI landscape, your business possibilities, practical considerations, and the supporting AWS services
Develop your strategy, assess your readiness, select initial use cases, and collaboratively create your implementation roadmap
Build your vision with our AI services, supported by a data modernization strategy, automation, and data engineering as needed
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