Thursday, April 18, 2024

Caylent Announces New AI Innovation Engine, Accelerating Customer Generative AI Initiatives into Production

Related stories

Automox Joins the Cloud Security Alliance

Automox, the leader in cloud-based IT endpoint management solutions,...

ProPhase Labs Unveils Project ZenQ-AI

ProPhase Labs, Inc., a biopharma, genomics, and diagnostics Company,...

CTERA Adds Data Exfiltration Prevention to CTERA Ransom Protect

CTERA, the leader in edge-to-cloud file services, announced the...

Cloud Software Engineering Veteran Jeremy Ung Joins BlackLine as Chief Technology Officer

BlackLine, Inc announced that cloud software engineering veteran Jeremy...

Caylent, an AWS Premier Tier Services partner that enables companies to evolve their business through AI, cloud modernization, and data-backed solutions, announced the launch of their new offering, AI Innovation Engine. Caylent’s AI Innovation Engine is an embedded, agile, multi-disciplinary AI team that fast tracks development of customers’ generative AI initiatives, leading them through the fastest and smartest path from idea to impact.

“Our Innovation Engine empowers customers to rapidly and carefully harness the transformative potential of generative AI, tailored to their unique needs. We’ve partnered with industry titans like NVIDIA, which offers best in class GPUs for AI workloads, and Anthropic, the trailblazer in delivering the world’s safest and most reliable large language models,” said Randall Hunt, VP of Cloud Strategy and Innovation, Caylent. “We have more than 50 customers across even the most stringently regulated sectors who have already adopted Anthropic Claude on Amazon Bedrock.”

The AI Innovation Engine is designed to accelerate continuous generative AI value development through a multi-step engagement process. Caylent’s team of experts start by working backwards from business objectives to help customers prioritize their generative AI use cases, ranking each potential solution by business value and feasibility. Next, using a continuous innovation framework, Caylent’s AI experts iteratively engineer prompts, train and fine-tune models, and test solutions against business goals to produce proof-of-value. As proof-of-values are validated, Caylent’s operations-focused team members take these solutions to production, adding automation and operational guardrails, to begin generating immediate business impact.

Also Read: RestorePoint.AI Partners with Alkira to Deliver Cloud-Based Data Management as a Service on Private, Secure Network for Analytics and AI Applications

As a customer’s needs evolve over time, the Caylent team dynamically adjusts to provide enhanced support for research, experimentation, and production excellence, ensuring comprehensive partnership support from start to finish. The Innovation Engine team is customizable and includes architects, engineers, and strategists specializing in AI, data, applications, and infrastructure practice areas.

“In working to integrate generative AI into our HealthTech solutions, the expertise that Caylent’s custom team of machine learning, big data, application and software specialists brought to the project was invaluable,” said Vivek Desai, CTO – North America, RLDatix, a global software company offering solutions to connect healthcare operations and improve safety outcomes. “Their ‘Prioritize, Prove, Produce’ methodology for identifying and implementing the most feasible and valuable AI use cases for our business helped us see value sooner and continue to evolve as an industry leader.”

“Having implemented dozens of generative AI solutions with our proven methodology, we know what it takes to go from brainstorming to delivering meaningful results in production,” said Lori Williams, CEO, Caylent. “The AI Innovation Engine is ideal for companies who are committed to developing bespoke AI solutions and want to create a cultural framework for evolutionary innovation. Throughout the process, we collaborate closely with our clients to assess, architect, and accelerate the creation of business value.”



- Never miss a story with notifications

    Latest stories