PopAI Technologies provides a hybrid intelligence platform that combines private, domain-specific small language models with a 2,500-person human-in-the-loop workforce to automate enterprise workflows. The platform, including its AgentiX™ agent system, deploys within a company's own infrastructure to ensure data sovereignty and security. It reports achieving 99.9% accuracy and processing over one million monthly messages for clients.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle to scale operations because manual workflows are tied to linear headcount growth, creating high operational drag and capped profit margins. Adopting public AI models raises concerns about data leakage, security, and a lack of trust, preventing organizations from realizing the full benefits of automation.
Solution
PopAI Technologies provides a hybrid intelligence platform that combines private, domain-specific small language models (SLMs) with a human-in-the-loop (HITL) workforce to automate and scale enterprise workflows. The platform, including its AgentiX™ system, is deployed within a company's own infrastructure, ensuring data sovereignty and eliminating data-leakage risks. Pre-built AI agents can be launched with no configuration, and a no-code drag-and-drop builder allows for the creation of complex automation pipelines. When the AI encounters uncertainty, a team of human experts steps in to verify accuracy before any customer interaction, guaranteeing reliable outcomes.
Target Audience
Primary customers are enterprise organizations, particularly those in outsourcing, customer support, sales, and back-office operations, that need to automate workflows while maintaining strict data security and high accuracy.
Features
- AgentiX™ platform for deploying pre-built, ready-to-use AI agents for specific workflows with no configuration required
- No-code automation builder for designing and deploying complex automation pipelines through a drag-and-drop interface
- Private, domain-specific SLMs deployed on-premise to ensure data sovereignty and prevent proprietary information from being used to train public models
- Granular role-based access control (RBAC) and partitioned knowledge bases to prevent unauthorized access and internal data leakage
- 2,500-person Human-In-The-Loop (HITL) workforce providing active monitoring and verification to ensure 99.9% accuracy
- 100% auditable trail of all agent actions, providing transparency for regulated industries like Finance and Aviation