Velos

Velos is an AI-powered automation platform designed to replace traditional business process outsourcing (BPO) by training software to handle complex, high-volume back-office tasks. Its core value proposition lies in eliminating the need for human-intensive outsourcing or manual labor for repetitive processes, offering a scalable, consistent, and compliant digital workforce. By focusing on nuanced, rule-based work that typically requires human judgment, Velos enables organizations to achieve significant cost savings and operational efficiency while reducing errors and ensuring data security.

Key features: The platform allows users to train AI models on specific tasks through a no-code interface, effectively creating custom digital workers. Concrete capabilities include automating month-end financial reconciliations, cleaning and structuring messy healthcare data for compliance, processing insurance claims, and managing complex data workflows between legacy systems. It supports human-in-the-loop validation for critical steps, ensuring accuracy in sensitive operations. The system can handle document processing, data entry, validation, and workflow orchestration for tasks that are too variable for simple robotic process automation (RPA).

What sets Velos apart is its focus on 'knowledge work' automation rather than simple, repetitive clicks. Unlike basic RPA or generic workflow tools, it uses machine learning to handle tasks requiring understanding of context and nuance, such as interpreting unstructured data or applying business rules to exceptions. Technically, it is a cloud SaaS platform with robust integrations via API, capable of connecting with existing databases, ERPs, and proprietary systems. It emphasizes enterprise-grade security, being HIPAA, GDPR, and CCPA compliant out of the box, which is critical for its target sectors like healthcare and government.

Ideal for mid-to-large enterprises in regulated industries like healthcare (insurtech, patient data management), finance, insurance, and government agencies that rely heavily on manual back-office operations or BPOs. Specific use cases include automating healthcare data onboarding and cleaning for HIPAA compliance, processing insurance policy applications, reconciling financial statements, and managing citizen service requests in local government. It is particularly valuable for organizations dealing with complex data workflows, high-volume document processing, and tasks that require adherence to strict regulatory standards.

Pricing follows a freemium model with a free tier for basic exploration. Paid plans are tailored to the complexity and volume of automated workflows, typically starting from an estimated $99 per month for small teams and scaling to custom enterprise quotes for large-scale deployments involving thousands of automated tasks.