Caylent, a leading cloud services company helping businesses build competitive IP, announced the launch of MeteorAI by Caylent. Built on Amazon Web Services (AWS), MeteorAI is a proprietary generative artificial intelligence (AI) framework that amplifies the power of company data and expedites the experimentation cycle of generative AI solutions to help organizations accelerate the launch and implementation of new technologies that deliver actual business value.
Caylent, a leading cloud services company helping businesses build competitive IP, announced the launch of MeteorAI by Caylent. Built on Amazon Web Services (AWS), MeteorAI is a proprietary generative artificial intelligence (AI) framework that amplifies the power of company data and expedites the experimentation cycle of generative AI solutions to help organizations accelerate the launch and implementation of new technologies that deliver actual business value.
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“As organizations are eager to operationalize the promise of generative AI and translate its potential into real business value, Caylent’s MeteorAI stands as a testament to what’s achievable in generative AI application development,” said Valerie Henderson, President and Chief Revenue Officer, Caylent. “By integrating the strengths of the AWS ecosystem into our innovative approach to AI, Caylent offers organizations the ability to transition from conception to completion at an unprecedented pace. MeteorAI supports numerous use cases, including the development of AI assistants, enterprise knowledge bases, forecasting, recommendation engines, anomaly detection, pattern recognition, and data generation, among many others. Caylent uses MeteorAI internally to power our operations and it has dramatically improved our efficiency. We are so excited to bring this power to our customers and turn their IT into IP that will power the next era of their business growth.”
MeteorAI redefines how customers build bespoke internal and consumer-facing generative AI applications with Caylent’s AWS Data and Cloud Native development teams. It is the culmination of Caylent’s platform, process, and practice expertise in building AI solutions. Within the framework, models and prompts are custom-tuned for each company’s specific business needs using their data. MeteorAI enables customized secure data integrations that continuously ingest, transform, process, and act on data in real time, supporting individual employee inferences and programmatic back-office integrations. While achieving a custom, useful enterprise generative AI solution can require lengthy experimentation and optimization cycles, MeteorAI expedites the time to business value with battle-proven prompt templates for popular use cases, an extensible and modular backend, pre-configured monitoring, a library of pre-configured third-party data sources and integrations, and deep integration with popular authentication and privacy solutions. Finally, a feedback and alignment mechanism helps customers continuously improve the underlying generations.
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“Given the role BrainBox AI plays in the critical pursuit of lowering carbon emissions from the built environment globally, remaining at the forefront of innovation is imperative,” said Jean-Simon Venne, CTO and Co-founder, BrainBox AI. “By working with Caylent and leveraging their MeteorAI framework, we’ve been able to significantly accelerate our generative AI initiatives. In the building sector where data is often difficult to access and regularly discarded, we are leveraging this valuable information via generative AI to provide a proactive co-pilot for building managers and operators that is able to make recommendations and take action.”
Deployed in an organization’s own AWS account, MeteorAI requires no monthly subscription fees and boasts an intuitive experience, enterprise-grade security, API-first design, an extensible generative AI operating system, seamless deep systems and data integrations, as well as multimodal and multi-model capabilities. MeteorAI also enables proactive, intelligent actions, reducing time spent on manual procedural tasks.
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