First-of-its-kind Unified GenAI Application Platform reduces AI application lifecycle development time by up to 50%, accelerating AI business impact.
Hyderabad, India., July 17, 2024 — Kore.ai, a pioneer in enterprise generative and conversational AI platform technology, has launched GALE—Generative AI and LLM Platform for Enterprises. This platform empowers businesses to create robust GenAI applications that boost productivity, foster innovation, and extract value from GenAI.
GALE represents the industry’s inaugural dedicated GenAI application platform designed to help enterprises swiftly develop and deploy advanced AI applications at scale within an enterprise setting. Featuring a no-code toolkit and user-friendly visual interface, GALE provides enterprises with an efficient means to experiment with multiple models and prompts, and to build and deploy AI agents without requiring specialized AI expertise.
According to a recent McKinsey report, organizations are rapidly deploying GenAI across various business units but face challenges in implementation. These challenges include identifying suitable use cases, scaling AI solutions to deliver business value, and lacking tools to enable teams to experiment with optimal foundational models and responsibly manage AI for safety.
“The introduction of transformer models has sparked a surge in interest, leaving enterprises uncertain about where to start and how to harness advanced AI to drive business outcomes,” said Kore.ai CEO and founder Raj Koneru. “GALE addresses the current ecosystem’s fragmentation and limitations. It offers a cohesive platform that integrates essential AI application building capabilities with built-in guardrails. None of the hyperscalers or other GenAI application providers offer customers an end-to-end capability to experiment with a range of LLM or SLM models for developing, deploying, and managing sophisticated GenAI applications. GALE does.”
Powered by the Kore.ai platform, GALE simplifies AI application development, accelerates GenAI adoption for businesses, reduces development time by up to 50%, and supports rapid prototyping. It seamlessly integrates into enterprise ecosystems, ensuring smooth integration with business systems and supporting large-scale AI deployments.
● No-code flow-builder and drag-and-drop interface enable rapid creation of complex workflows, applications, and AI agents, reducing reliance on specialized technical resources.
● Model Hub provides centralized access to over 30 AI models (community, open-source, or fine-tuned), allowing businesses to refine and customize them to meet specific needs.
● AI Agents automate complex tasks and workflows, enhancing operational efficiency and enabling businesses to focus on strategic initiatives.
● Prompt Studio serves as a development playground for crafting optimal prompts, facilitating faster transition from concept to production.
“As enterprise adoption of GenAI gains momentum, organizations seek faster time-to-value from AI initiatives. They require platforms that facilitate easy experimentation, development, deployment, and scaling of AI agents and applications,” said Vaibhav Bansal, Vice President, Everest Group. “Key platform features include an AI/ML orchestration layer for efficient model management, seamless integration with enterprise data, a low-code interface, and an application development layer for deploying AI agents or applications.”
GALE distinguishes itself as an enterprise-grade platform agnostic to LLM models, cloud infrastructure, and applications, providing customers with maximum flexibility in AI deployment. With prebuilt templates and out-of-the-box integrations, it drives extensive automation across the enterprise through GenAI use cases. Companies can transform their business processes—from front-office to back-office—by deploying AI agents for specific tasks or creating intricate agent-driven workflows that automate labor-intensive tasks across the organization.
Currently, over 100 companies with extensive customer bases in banking, healthcare, insurance, and retail are leveraging the GALE beta version to create targeted value in:
● Enhancing research with AI agents for mining market intelligence from online content.
● Improving knowledge management and data discovery by automatically summarizing content from emails, call transcripts, social media, and ticketing systems.
● Generating innovative and diverse content to meet creative, technical, and business requirements.
● Boosting process automation by automating workflows related to claims processing, customer order processing, inventory management, and invoice generation.