Resolution Bazaar is a dynamic platform facilitating investments, document management, and process automation under the IBC framework. It connects investors, creditors, and resolution professionals, streamlining insolvency proceedings with AI-driven solutions. From claim filing to distressed asset acquisition, it offers seamless services for efficient resolution. With advanced analytics and automation, Resolution Bazaar enhances transparency, compliance, and recovery outcomes.

1. Online Claim Filing – A digital platform that allows creditors to submit their claims in insolvency proceedings seamlessly. It automates document verification, claim categorization, and submission tracking. This reduces paperwork and ensures faster claim processing.

2. Investment Teasers – Concise, visually engaging documents that highlight key financial and operational details of distressed businesses. These are shared with potential investors to gauge interest in acquiring or restructuring the entity. They help attract bidders in the insolvency resolution process.

3. Insolvency Professionals – Licensed experts who oversee corporate and personal insolvency cases, ensuring compliance with legal and financial frameworks. They manage creditor claims, resolution plans, and asset valuation while facilitating restructuring or liquidation. Their role is critical in maximizing recoveries for stakeholders.

4. Digital Agents – AI-driven assistants designed to automate and optimize various aspects of insolvency resolution, such as claim verification, fraud detection, and investor outreach. They use predictive analytics to enhance recovery strategies and compliance monitoring. These agents improve efficiency and transparency in the insolvency process.

5. Digital Worksheets – Structured templates powered by AI agents to assist insolvency professionals in organizing financial data, claims, and compliance tasks. These worksheets provide automated insights, risk assessments, and document generation. They streamline decision-making and reduce manual errors.