Gentoro provides a unified orchestration, security, and observability layer to scale agentic workflows across complex enterprise systems. It enforces central policy and access control between agents and enterprise systems to ensure secure, governed deployment. The platform offers runtime visibility and optimization hooks to improve success rates and reduce overhead in production AI integrations.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face complexity, security risks, and compatibility challenges when integrating generative AI with backend systems like CRMs, ERPs, and electronic medical records. Traditional integration methods are complex, and can lead to sensitive data leakage and LLM hallucinations.
Solution
Gentoro provides a platform that streamlines the integration of generative AI with enterprise systems, automating code generation and connectivity to enable more reliable and secure AI agents. The platform minimizes LLM hallucinations through continuous response evaluation and refinement based on real-world interactions. By automating function creation and execution, Gentoro allows businesses to efficiently deploy AI applications without the usual integration risks and complexities. The platform supports popular agentic AI frameworks and offers enterprise-grade security features, including policy-driven privacy and no-code security configurations.
Target Audience
Gentoro targets enterprises seeking to leverage generative AI within their existing infrastructure, specifically those in industries such as healthcare, finance, and technology that require secure and reliable integration with enterprise applications.
Features
- Automated LLM function creation and execution from sample prompts
- Automatic implementation of tools and functions to integrate with enterprise systems
- Integration of proprietary data with any function-calling public or private LLM
- Continuous response evaluation to reduce LLM hallucinations
- Automatic suggestion and application of fixes for inaccuracies
- LLM token management and cost optimization
- Policy-driven privacy with advanced anonymization techniques
- No-code security configurations for sensitive data protection and access controls
- Built-in logging, tracing, and visibility tools for GenAI application deployment, monitoring, and management
- Support for popular agentic AI frameworks like LangChain and AutoGen