DRAGONS provides a platform for building and running autonomous AI agents with built‑in safety, verification, and scalability features. The infrastructure offers developers APIs and monitoring tools that ensure agents operate reliably at production scale while meeting compliance and performance requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Developers building autonomous AI agents often face challenges ensuring safety, security, verification, and scalability while orchestrating complex workflows across cloud environments. Existing tools may lack robust guarantees, leading to unpredictable performance and increased operational risk.
Solution
DRAGONS offers an agentic infrastructure that combines safety controls, performance guarantees, and verifiable execution for autonomous AI agents. The platform provides end‑to‑end workflow orchestration, enabling developers to define, deploy, and manage multi‑step AI‑driven processes across heterogeneous cloud resources. Built‑in security policies and verification mechanisms ensure that agents operate within defined constraints and produce auditable results. Scalable runtime components automatically allocate compute resources to match workload demands, maintaining consistent performance. Developers interact with the system through a unified API and tooling that abstracts underlying cloud complexity while preserving fine‑grained control over agent behavior.
Target Audience
Primary customers are software developers, AI research teams, and enterprises that need to build, deploy, and manage secure, high‑performance autonomous AI agents and complex AI workflows.
Features
- Integrated safety and security policies that enforce runtime constraints on autonomous agents
- Verifiable execution engine producing cryptographic proofs of task completion and data integrity
- End‑to‑end workflow orchestration for chaining multiple AI models and services
- Automatic scaling across multi‑cloud environments with dynamic resource provisioning
- Unified API and SDKs for seamless integration into existing development pipelines
- Monitoring dashboard with real‑time performance metrics and audit logs