Dari
Dari provides a dedicated routing layer for AI agents, centralizing the logic that directs tasks and requests across an organization's tools, models, and workflows. The platform decouples routing decisions from individual agent implementations, giving developers a unified point of control to improve controllability and efficiency. It is built for production-scale deployments, reducing the development overhead associated with managing multiple integrations.
- Developer Tools
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
As AI agents are deployed in production, they must interact with an ever-growing number of tools, models, and internal workflows. Managing routing logic – deciding which component handles a given request – becomes complex and error-prone, leading to inefficient systems, unpredictable behavior, and significant development overhead.
Solution
Dari offers a dedicated routing layer for AI agents, centralizing the logic that directs tasks and requests across an organization's tools, models, and workflows. This allows developers to decouple routing decisions from individual agent implementations, resulting in more controllable and efficient agent systems. The platform abstracts the complexity of managing multiple integrations, providing a single, unified point of control. It is built to handle production-scale deployments, ensuring that routing remains reliable and performant under real-world loads.
Target Audience
Development teams and engineers building and deploying AI agent systems, particularly those integrating with a variety of external tools, models, and internal workflows.
Features
- Centralized routing logic for tasks and requests across tools, models, and workflows
- Improved agent controllability and efficiency through a dedicated management layer
- Built for production-scale deployments and complex agent architectures
- Abstraction layer that reduces development overhead associated with multi-tool integrations