Airia provides an enterprise‑grade AI platform that lets large organizations design, prototype, and deploy LLM‑driven agents through a low‑code builder integrated with data warehouses, SaaS, and on‑prem systems. The platform includes built‑in security controls, governance tools for risk classification, approval workflows and audit logs, and a cost‑optimization engine with unified monitoring of usage, performance, and spend.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises adopting generative AI face fragmented toolchains, limited visibility into model usage, and difficulty enforcing security and compliance policies across distributed AI agents and data sources. This leads to operational risk, uncontrolled costs, and regulatory exposure.
Solution
Airia delivers a single, enterprise‑grade AI platform that unifies orchestration, security, and governance. Users can design, prototype, and deploy AI agents through a low‑code builder that integrates with existing data warehouses, SaaS applications, and on‑prem systems. Built‑in security controls—such as agent constraints, red‑team testing, and real‑time risk monitoring—protect sensitive data and enforce policy compliance. Governance modules provide a centralized inventory, risk classification, approval workflows, and audit logs to satisfy regulatory requirements. The platform also includes cost‑optimization analytics and a unified dashboard for monitoring usage, performance, and spend across the AI lifecycle.
Target Audience
Primary customers are large enterprises—IT, data science, and compliance teams—that need to scale AI initiatives while maintaining security, cost control, and regulatory oversight.
Features
- Low‑code Agent Builder and Prototyping Studio for rapid development of LLM‑driven workflows.
- Model lifecycle management with versioning, rollout, and rollback capabilities.
- Secure data integration layer supporting real‑time connections to databases, CRMs, and enterprise APIs.
- AI security suite: agent constraints, routing engine, red‑team simulations, and responsible AI guardrails.
- Governance console offering asset inventory, risk scoring, policy enforcement, and role‑based approval workflows.
- Cost‑optimization engine that tracks token usage, model expenses, and provides spend alerts.
- Centralized analytics dashboard with usage metrics, performance monitoring, and compliance reporting.
- API and SDKs for seamless embedding of AI agents into internal applications and external services.