Mediar

Mediar introduces a new paradigm in business process automation, positioning itself as an AI-native solution that makes traditional Robotic Process Automation (RPA) obsolete. It is designed to transform manual, repetitive desktop workflows into reliable and efficient AI-powered automations. The core of Mediar is its intelligent AI agents, which learn by observing human experts performing their tasks. This 'learning by observation' approach allows Mediar to understand and replicate complex processes across various applications, from legacy systems to modern web forms, without the brittle, pixel-based methods of older RPA tools.

The platform is built on three pillars: OS-level integration, deterministic execution, and expert learning. By using direct OS and browser accessibility APIs (similar to screen readers), Mediar achieves a deep understanding of on-screen elements, ensuring automations are robust and not prone to breaking with minor UI changes. This results in lightning-fast, deterministic workflows with a claimed 99.9% success rate, a significant leap from the often-unreliable performance of legacy RPA. The entire system is designed for rapid deployment, allowing businesses to have automations running in production within 24-48 hours and see a return on investment within the first month.

How to use Mediar

Using Mediar is a straightforward process designed for speed and efficiency, eliminating the need for extensive development cycles:

1. Record Workflows: A user simply performs a task on their desktop as they normally would. The Mediar agent runs in the background, observing screen actions, clicks, and data entry to document the entire workflow.
2. Identify & Automate: The platform analyzes the recorded actions to identify repetitive tasks and suggests potential automations. Users can review and configure these suggestions.
3. Deploy the AI Agent: Once a workflow is defined, the AI agent is deployed to execute the task automatically. It can run 24/7, handling tasks like data extraction from PDFs, filling complex forms, and transferring information between applications.
4. Monitor and Scale: Businesses can monitor the performance of their AI automations in real-time through a product dashboard. This includes tracking key metrics like accuracy rates, cost savings, and overall workflow efficiency, allowing for easy management and scaling of operations.

Core Features of Mediar

• AI-Native Automation: Learns from human screen recordings to build robust automations, moving beyond fragile script-based RPA.
• OS-Level Integration: Utilizes accessibility APIs for a deep, reliable understanding of application interfaces, ensuring stability even when UIs change.
• Self-Healing Architecture: Automatically adapts to minor changes in application layouts, drastically reducing maintenance overhead compared to traditional RPA.
• Rapid Deployment: Go from concept to production-ready automation in just 24-48 hours.
• Deterministic Execution: Achieves a 99.9% success rate for workflows, ensuring consistent and reliable performance.
• Real-time Analytics Dashboard: Provides comprehensive insights into automation performance, cost savings, and efficiency metrics.
• Cross-Application Capability: Seamlessly automates tasks across PDFs, web browsers, legacy desktop software, and ERP/CRM systems.
• API Access: Allows for programmatic access and integration with in-house applications and downstream processes.

Use Cases for Mediar

Mediar is versatile and can be applied across numerous industries to handle data-intensive, repetitive tasks:

• Healthcare: Automating the extraction of patient data and claim details from PDFs to populate fields in EMR or billing systems.
• Fintech & Banking: Processing customer information from application PDFs, KYC documents, and loan agreements into core banking software.
• Legal: Extracting key clauses, dates, and party information from legal documents and logging them into case management tools.
• Invoice & AP Automation: Processing vendor invoices by automatically entering amounts, dates, and line items into accounting or ERP software.
• BPO & Service Delivery: Enhancing agent productivity by automating data transfer from client documents into various internal systems.
• CRM & Sales Data Automation: Keeping CRMs updated by automatically populating new leads and logging sales activities from reports or forms.

Advantages of Mediar

Mediar offers significant advantages over both traditional RPA solutions and manual labor:

• Superior Speed to Production: Deploys in 24-48 hours, compared to 6-18 months for legacy RPA implementations.
• Unmatched Reliability: A 99.9% deterministic success rate far exceeds the 60-80% reliability of older systems.
• Drastic Cost Reduction: An example annual cost of a Mediar agent is $12k, compared to $74k+ for a traditional employee, offering massive ROI.
• Continuous Operation: AI agents work 24/7/365 without breaks, providing over 8,700 productive hours annually versus ~1,800 for a human employee.
• Zero-Maintenance Focus: The self-healing architecture minimizes the need for a dedicated development team for maintenance and prompt engineering.
• True Scalability: Offers true horizontal scalability to handle increasing workloads on demand without proportional cost increases.

Pricing and Plans

Mediar's pricing is designed for business use cases and focuses on the value delivered by its AI agents. While specific plans are customized based on customer needs, the website provides a clear cost comparison example: a single Mediar AI Agent has an estimated annual cost of $12,000 (e.g., $1,000/month). This contrasts sharply with the estimated $74,250 annual cost of a traditional back-office employee. The model may also include components like cost-per-execution or credits. For detailed pricing and to discover the automation potential for your organization, prospective customers are encouraged to book a demo with the Mediar team.