Data Analysis Workflows

Build secure AI agents with ease and control.

Inferable

Inferable is a managed developer platform designed to simplify the creation of reliable and secure AI agents with Large Language Model (LLM) capabilities. It offers a distributed tool calling architecture that separates agent runtime from function execution, enabling developers to maintain sensitive data and compute within their own infrastructure while leveraging advanced AI functionalities. The platform efficiently manages LLM operations, routing, and observability, allowing developers to concentrate on application development rather than infrastructure management. Inferable supports multiple programming languages, including NodeJS, Go, and .NET, making it versatile for various development environments.

Inferable stands out with its robust features tailored for highly regulated industries and enterprise environments that require stringent data sovereignty. Its distributed tool calling and private network deployment ensure that sensitive data remains secure and within the developer's control. The platform's zero-retention data privacy, encrypted data handling, and audit trails provide an additional layer of security and compliance. Real-time monitoring, machine health monitoring, and a zero trust security model further enhance its reliability. With REST/GraphQL API integration and multi-language support, Inferable is well-equipped to handle complex multi-step workflows and secure data processing, making it an ideal choice for enterprise service integration and backend service automation.

Data Analysis Workflows Tools

1 Tools for Data Analysis Workflows

Inferable