Inferable: Build Reliable, Scalable and Secure AI Agents

Overview

Ever wanted to integrate AI into your applications, maintaining control over your data and workflows? Well, Inferable is built for developers like you. This AI automation platform lets you create and manage AI based workflows from your existing codebase. With powerful features like AI guardrails, composability, distributed orchestration, and end-to-end observability, Inferable makes your AI automations reliable, scalable and secure. It will benefit to improving reliability, enhancing security or making compliance less of a headache.

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December 21, 2024 @ 13:07

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What are the main features of Inferable?

Distributed Tool-Calling Architecture: Decouples agent runtime from function execution for greater flexibility and efficiency.
Multi-Language Support: Runs a multitude of programming languages, such as Node.js, Go, and.NET.
On-Premise Execution: Sensitive data stays within your infrastructure with strong data control.
Private Networking: No inbound connections are required, ensuring the security and isolation of the execution environment.
Full Data Privacy: Get enterprise-grade privacy with Sentinel integration (Enterprise).
Built-In Observability and Monitoring: Comprises monitoring and optimization utilities to observe workflows for performance and reliability.

What are the use cases of this tool?

The general use cases that can be enabled by Inferable allow developers to build a myriad of AI agents with complicated reasoning and autonomous task executions, distributed automations including reliable orchestration and fault tolerance, and seamlessly embeds AI into codebases easily and without significant refactoring. Moreover, Inferable incorporates human oversight and control with AI-driven workflows for assured compliance and accuracy of an entire process.

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