Kore.ai Launches GALE to Accelerate Advanced Gen AI Adoption for Enterprises
Kore.ai, a leader in enterprise generative and conversational AI
platform technology, announced GALE—Generative AI and LLM Platform for
Enterprises. This platform enables businesses to build powerful GenAI
applications that enhance productivity and innovation and derive value from
GenAI.
GALE is the industry's first dedicated GenAI application platform that
addresses businesses' need to rapidly develop and deploy advanced AI
applications and scale them in an enterprise environment. With a no-code
toolset and intuitive visual interface, GALE offers enterprises the most
efficient way to experiment with multiple models and prompts, build and deploy
AI agents for the first time, making it easy for developers without specialized
AI talent.
According to a recent McKinsey report, organizations are rushing to
deploy GenAI across business units but are hampered by implementation
challenges. Companies struggle to find the right use case or fail to scale the
AI solution to derive business value. They also lack tools that enable their
existing teams to experiment with the best-performing foundational models and
responsibly manage AI to ensure safety.
"The launch of transformer models has taken the world by storm,
leaving enterprises wondering where to start and how to leverage advanced AI
for delivering business value," said Kore.ai
CEO and founder Raj Koneru. "GALE addresses the fragmentation and
limitations within the current ecosystem. It's a cohesive platform integrating
core 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 range of LLM or SLM models to develop, deploy,
and manage sophisticated GenAI apps. GALE does."
Powered by the Kore.ai platform, GALE
simplifies AI application development and accelerates GenAI adoption for
businesses, slashing development time up to 50% and enabling rapid prototyping.
It integrates into the enterprise ecosystem, ensuring smooth incorporation with
business systems and supporting large-scale AI implementations.
- No-code flow-builder and drag-and-drop
interface enables creation of complex workflows, apps and AI agents
quickly, reducing dependency on specialized technical resources.
- Model Hub provides businesses with centralized
access to over 30 AI models (community, open-source or fine-tuned), for
refining and fine-tuning them to suit specific business needs.
- AI Agents automate complex tasks and
workflows, increasing operational efficiency and allowing businesses to
focus on strategic initiatives.
- Prompt Studio offers a playground
for developers to craft the right prompts, allowing businesses to move
from ideas to production faster.
"As enterprise adoption of GenAI picks up pace, organizations are
looking to achieve faster time to value from AI initiatives. They need
platforms that offer an easy way to experiment with, build, deploy, and scale
AI agents and applications," said Vaibhav Bansal, Vice President, Everest Group. "Typical
platform features include AI/ML orchestration layer for efficient model
management, the ability to seamlessly connect with enterprise data, a low-code
interface, and an application development layer for deploying AI agents or
apps. Beyond these, enterprises need access to the best performing foundation
models, provision to bring their own model, guardrails to ensure fairness and
data security, ability to finetune models on enterprise data, pre-configured
GenAI libraries and frameworks for different use cases. Enterprise-grade GenAI
platforms that support such features promise an exciting future and have the
potential to be the one-stop suite for all AI related needs of an
enterprise."
GALE stands out as an enterprise-grade platform agnostic to LLM models,
cloud infrastructure and applications, offering customers maximum choice and
flexibility in deploying AI. With prebuilt templates and out-of-box
integrations, it triggers massive, enterprise-wide automation through GenAI use
cases. Companies can transform their business processes, from front-office to
back-office, by building AI agents targeting a specific task or creating
complex agentic workflows that automate tedious, time-consuming jobs across the
organization.
More than 100 companies with large customer bases across banking,
healthcare, insurance, and retail are currently leveraging the GALE beta
version for targeted value creation around:
- Improving research using AI agents for mining
online content on market intelligence
- Better knowledge management and data discovery
for insights and trend analysis by automatically summarizing content from
emails, call transcripts, social media and ticketing systems
- Creating innovative and diverse content for
serving creative, technical and business needs
- Bolstering process automation by automating
workflows related to claims processing, customer order processing,
inventory management, invoice generation, receivables/payable
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