Vertesia
Vertesia is a unified, low-code generative AI platform that enables enterprise teams to rapidly build, deploy, and operate GenAI applications and agents at scale. Designed for both business professionals and IT specialists, Vertesia offers a frictionless development experience, allowing users to go from prototype to production without extensive timelines or heavy infrastructure. It supports multiple generative AI models from leading inference providers, providing flexibility and preventing vendor lock-in. Vertesia's agentic retrieval-augmented generation (RAG) pipeline enhances generative AI accuracy and performance by automating and accelerating content preparation, including intelligent document processing and semantic chunking. With enterprise-grade security, SOC2 compliance, and support for leading cloud infrastructures like AWS, GCP, and Azure, Vertesia ensures secure and scalable deployments.
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Kore.ai
Kore.ai is an enterprise AI platform that enables organizations to build, deploy, manage, and optimize AI agents for customer service and employee productivity use cases. Its Agent Platform, known as Artemis, provides the foundation for creating AI-powered applications, intelligent workflows, and enterprise-grade automation solutions. The platform includes pre-built applications for industries such as banking, healthcare, retail, human resources, recruiting, and IT support. Organizations can also leverage AI agent builders, enterprise search, orchestration tools, and marketplace integrations to accelerate development and deployment. Kore.ai is designed to support large-scale enterprise environments with strong governance, administrative controls, and integration capabilities. By combining AI agents, automation, and business process intelligence, Kore.ai helps enterprises improve operational efficiency and customer experiences.
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Dynamiq
Dynamiq is a platform built for engineers and data scientists to build, deploy, test, monitor and fine-tune Large Language Models for any use case the enterprise wants to tackle.
Key features:
🛠️ Workflows: Build GenAI workflows in a low-code interface to automate tasks at scale
🧠 Knowledge & RAG: Create custom RAG knowledge bases and deploy vector DBs in minutes
🤖 Agents Ops: Create custom LLM agents to solve complex task and connect them to your internal APIs
📈 Observability: Log all interactions, use large-scale LLM quality evaluations
🦺 Guardrails: Precise and reliable LLM outputs with pre-built validators, detection of sensitive content, and data leak prevention
📻 Fine-tuning: Fine-tune proprietary LLM models to make them your own
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Progress Agentic RAG
Progress Agentic RAG is a SaaS Retrieval-Augmented Generation platform that automatically indexes, searches, and generates AI-powered insights from structured and unstructured business data, including documents, emails, video, slides, and more, by combining RAG with agentic workflows that reason, classify, summarize, and answer queries with traceable, verifiable results without requiring users to build and manage their own RAG infrastructure. Designed as a modular no-code RAG-as-a-Service solution, it accelerates AI readiness by letting organizations extract contextual intelligence and business knowledge using natural language queries and quality-driven output metrics while integrating with any leading Large Language Model (LLM) and supporting multilingual, multimodal content indexing and retrieval. Features include AI summarization and classification, generated Q&A from enterprise data, a Prompt Lab for validating LLM behavior with custom prompts.
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