Just about a month after the historic launch of ChatGPT in late 2022, we happened to be at an offsite to discuss the roadmap for our data privacy product. As it was happening across the technology industry at that time, the conversation quickly shifted from new features for the upcoming release to a broader question: What will be the impact of generative AI on enterprise ecosystems?
It soon became clear that continuing to enhance the existing product incrementally, as we had initially planned, was not a viable option. We knew we had to rethink our product strategy, to focus on creating new offerings that would not only incorporate generative AI in its design but it would also enable enterprises to adopt AI more responsibly and cost-effectively.
Today, after two years of tireless effort by our dedicated team, we are excited to announce the early availability of Gentoro—the generative AI-powered middleware solution to bridge LLM-based AI Agents to enterprise ecosystems. Gentoro empowers Agents to seamlessly interact with enterprise ecosystems, enabling them to retrieve contextual information and perform complex tasks using a natural language interface.
Enterprise systems are the backbone of process automation with AI Agents. Process automation applications like faster invoice management, streamlined loan application processing, and enhanced patient care all require safe and secure interactions with a wide range of backend enterprise resources. However, accessing and utilizing these systems from AI Agents currently requires specialized knowledge, custom assembling of complex tech stacks, and developing access code along with the rest of the application UI, logic, and workflows. Additionally, special care must be taken to ensure that AI Agents accessing enterprise ecosystems are in compliance with security and privacy rules.
Gentoro changes that paradigm by managing all interactions with the enterprise ecosystem on behalf of an AI Agent, allowing developers to focus on building applications. It provides all the essential middleware services so developers no longer need to assemble various components for RAG, security, privacy, and function calling.
For those of us who were part of the browser-led internet wave not too long ago, Gentoro should feel analogous to J2EE application servers like WebLogic. Just as WebLogic abstracted away complexities around managing connectivity, security, and scalability for 3-tier Java applications, Gentoro offers similar abstraction & indirection layers for safely and securely managing interactions between AI agents and enterprise ecosystems.
