A Kore.ai, a leader in generative AI and conversational enterprise platform technology, announced on July 16th the GALE — Generative AI and LLM Platform for Enterprises. This platform enables companies to build powerful GenAI applications that enhance productivity and innovation.
GALE is the industry’s first dedicated GenAI application platform addressing companies’ need to swiftly develop and deploy advanced AI applications and scale them in an enterprise environment. With a no-code toolset and an intuitive visual interface, GALE provides companies with the most efficient way to experiment with various models and prompts, build and deploy AI agents for the first time, making it easy for developers without specialized AI skills.
According to a recent report from McKinsey, a global management consulting firm, organizations are racing to implement GenAI across all business units but are hindered by implementation challenges. Companies struggle to find the right use case or fail to scale the AI solution to derive business value, also lacking tools that enable their existing teams to experiment with top-performing foundational models and manage AI responsibly to ensure security.
“The launch of transformer models has taken the world by storm, leaving companies wondering where to start and how to leverage advanced AI to deliver business value,” said Kore.ai’s CEO and founder, Raj Koneru. “GALE addresses fragmentation and limitations within the current ecosystem. It is a cohesive platform that integrates key AI app building functionalities with built-in guardrails. None of the hyperscalers or other GenAI app providers offer customers an end-to-end capability to experiment with a variety of LLM or SLM models to develop, deploy, and manage sophisticated GenAI apps. GALE does this,” the CEO concludes.
Powered by the Kore.ai platform, GALE streamlines AI app development and accelerates GenAI adoption for enterprises, reducing development time by up to 50% and enabling rapid prototyping. It seamlessly integrates into the enterprise ecosystem, ensuring smooth incorporation with business systems and supporting large-scale AI implementations.
Francisco Chang, Senior Vice President of LATAM Sales at Kore.ai in Brazil, highlights the key differentiators for the national market.
- The no-code flow builder and drag-and-drop interface enable rapid creation of complex workflows, apps, and AI agents, reducing reliance on specialized technical resources.
- The Model Hub provides companies with centralized access to over 30 AI models (community, open source, or customized) for refining and adjusting them according to specific business needs.
- AI agents automate complex tasks and workflows, increasing operational efficiency and enabling companies to focus on strategic initiatives.
- The Prompt Studio provides an environment for developers to create the right prompts, allowing companies to move from ideas to production more quickly.
“As enterprise adoption of GenAI gains momentum, organizations are looking to achieve faster ROI from AI initiatives. They need platforms that provide an easy way to experiment, build, deploy, and scale AI agents and applications,” said Vaibhav Bansal, vice president at Everest Group.
The platform offers a range of typical features, including an AI/ML orchestration layer for efficient model management, seamless connectivity to enterprise data, a low-code interface, and an application development layer to deploy AI agents or applications. Additionally, it is crucial for companies to have access to top-performing base models, the ability to integrate their own models, guardrails to ensure fairness and data security, and the capacity to fine-tune models based on their specific data. The platform also provides pre-configured GenAI libraries and frameworks for various use cases. Enterprise-level GenAI platforms supporting these features not only promise an exciting future but also have the potential to become the comprehensive solution for all an enterprise’s AI-related needs.
GALE stands out as an enterprise-level platform agnostic to LLM models, cloud infrastructure, and applications, offering customers maximum choice and flexibility in AI deployment. With pre-built models and plug-and-play integrations, it drives massive automation across the enterprise through GenAI use cases. Companies can transform their business processes from front-office to back-office by building AI agents for specific tasks or creating complex agent workflows that automate tedious and time-consuming tasks organization-wide.
More than 100 companies with large customer bases in banking, healthcare, insurance, and retail sectors are currently leveraging the beta version of GALE for targeted value creation around:
- Enhancing research using AI agents for online content mining in market intelligence
- Better knowledge management and data discovery for insights and trend analysis, automatically summarizing the content of emails, call transcripts, social media, and ticketing systems
- Creation of innovative and diverse content to meet creative, technical, and business needs
- Reinforcing process automation by automating workflows related to claims processing, customer order processing, inventory management, invoice generation, accounts receivable/payable
GALE offers companies the fastest way to build generative AI agents in a secure and scalable business environment. The platform can be accessed at https://www.kore.ai/GALE.
