Panaya vs TestMap.ai

Panaya is an agentic platform for enterprise cross-application testing and change-impact analysis. It supports SAP, including ECC and S/4HANA, Oracle, Salesforce, and other enterprise applications. Automation can build scripts with AI assistance, convert manual tests, reuse components, self-heal scripts, and run execution centrally. Test management includes AI-generated scenarios, risk-based scope, guided user acceptance testing, defect management, and audit-ready evidence. Its Change Impact Analysis, Test Management, Test Automation, and Code Correction capabilities are connected by Seemore, an agentic layer using system landscape, process, testing history, and change context. Panaya connects to internet-accessible applications offering APIs or HTTP services; most integrations are two-way. Open APIs are free to customers, while custom development may cost extra and remains customer-maintained. Panaya describes SOC 2 verification, TLS in transit, AES-256 at rest, and multifactor authentication where feasible and required. Data centers currently use AWS. Chrome and Chromium-based Edge are officially tested browsers, and extensions are required. Its automation agent requires 64-bit Windows 10, Windows 11, or Windows Server 2019 or later. Pricing is on request, with trials available by inquiry.

TestMap.ai generates structured software test cases from user stories and requirements, then provides tools to manage test work and results. Its AI can use project history, architecture decisions, domain language, documentation rules, and testing conventions as context. Generated cases include prerequisites, steps, expected results, and coverage labels, and can use traditional, BDD, or exploratory styles.

Teams can run tests, track results, create bug reports, and trace requirements through to test outcomes. Real-time comments, review, approval, and role-based permissions support collaboration. GitHub connections can import requirements and code context and sync generated cases back into a workflow; Jira is also listed as an integration. The Chrome extension records browser interactions, selectors, screenshots, and API requests, and recordings can be linked to cases. An MCP server and API let AI assistants search and retrieve test cases and access projects and test runs using API-key authentication and project scoping. Starter is free, with up to two projects and two team members. Pro costs $15 a month and supports up to 50 team members. The service is available on web, as an extension, and through an API.