Thira provides agentic AI systems that autonomously operate enterprise back-office functions like finance, HR, and operations. The platform features self-learning agents, AI-native governance for policy enforcement, native integration with existing enterprise tools, and a knowledge graph that maps how a business works.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprise back-office operations rely on repetitive manual workflows across disconnected systems, leading to inefficiencies, errors, and high operating costs. Existing automation tools lack the intelligence to adapt, govern themselves, and operate securely across complex enterprise environments.
Solution
Thira builds secure, self-governing agentic AI that runs enterprise back-office systems autonomously. Its self-learning agents improve over time by analyzing outcomes and adjusting their behavior. Thira embeds AI-native governance into every action, ensuring policies and approvals are enforced automatically. The platform connects natively to the tools enterprises already run, enabling seamless execution of tasks across existing infrastructure. A living enterprise knowledge graph models how the business operates, giving agents contextual understanding to make better decisions.
Target Audience
Thira targets enterprise organizations with complex back-office operations in finance, human resources, and administration, particularly those seeking to automate high-volume workflows while maintaining strict governance controls.
Features
- Self-learning agents that continuously improve performance based on operational outcomes and feedback loops
- AI-native governance layer that embeds policy enforcement, approval workflows, and audit trails into each agent action
- Native system connectivity to existing enterprise tools for direct execution without custom integrations
- Enterprise knowledge graph that dynamically maps business processes, dependencies, and relationships