AuxoAI provides the Damian platform, a production‑grade AI orchestration stack that turns enterprise workflows into governed multi‑agent systems using a time‑aware knowledge graph for context and policy‑aware decision making. The low‑code environment and pre‑built connectors enable large organizations to integrate AI agents with existing tools, enforce RBAC, audit trails, and other governance controls, and deploy custom AI‑driven automation in weeks rather than months.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to modernize complex workflows, integrate AI safely, and maintain governance while scaling intelligent automation across functions. Traditional tools require extensive custom development, lack unified context, and provide limited control over AI agent behavior, leading to slow deployment and operational risk.
Solution
AuxoAI offers the Damian platform, a production‑grade AI orchestration stack that transforms enterprise processes into governed multi‑agent systems. It builds a time‑aware enterprise knowledge graph that supplies precise, policy‑aware context to AI agents, enabling them to retrieve relevant information and reason over connected data. The platform coordinates agent crews through structured handoffs, integrates with existing tools via low‑code connectors, and enforces built‑in guardrails, RBAC, and audit trails for secure, compliant operation. Pre‑built solutions such as Kimavi (sales engagement), Echo (synthetic consumer modeling), Helix (planning assist), and others demonstrate rapid prototyping and deployment, allowing organizations to achieve AI‑driven automation in weeks rather than months.
Target Audience
Primary customers are large enterprises and Fortune 500 organizations seeking to automate and augment complex business processes across sales, marketing, planning, and operations, as well as technology partners building AI‑enabled solutions.
Features
- Enterprise Knowledge Graph delivering governed, time‑aware context with provenance and permission metadata
- Multi‑agent orchestration engine that manages coordinated workflows, handoffs, and shared state across agent crews
- No‑code/low‑code development environment with guided templates for rapid AI application prototyping
- Seamless integration layer (MCP) connecting agents to internal systems, CRMs, and data sources via pre‑built connectors
- Built‑in governance, policy controls, and audit trails (Shield) ensuring responsible AI usage and compliance
- Production‑ready reliability features including RBAC, attribute‑based access, monitoring, and governed deployments
- Library of pre‑built domain solutions (e.g., Kimavi, Echo, Helix) that can be customized and launched quickly