The Intelligent Multimodal Agentic Layer for Autonomous Software Quality Engineering.
AiScripto is an enterprise-grade, AI-powered end-to-end test automation orchestration platform designed to eliminate the brittle coding and maintenance bottlenecks for Quality Assurance (QA) organizations. By translating human-written, plain-text manual test cases (Natural Language) into production-ready executable Playwright TypeScript test suites and reusable Page Object Models (POM), AiScripto compresses software regression development cycles by over 80%.
Our platform is built on multi-cloud architecture with model-agnostic AI inference, ensuring you can choose the cloud provider and AI model provider that best fits your enterprise requirements.
Driven by advanced foundation models via Model Context Protocol (MCP) to seamlessly ingest test cases from tools like:
Execute intelligent context analysis and generate optimized test specifications.
Our architecture supports multiple AI model providers, allowing you to choose based on your compliance, cost, and latency requirements:
Switch between model providers at runtime without code changes. Use cost-optimized models for routine analysis and premium models for complex reasoning.
Powered by a localized, persistent Memory Knowledge Graph that intercepts execution failures, automatically identifies updated element locators, and auto-repairs broken test specifications at runtime without manual intervention.
Integrates multiple serverless compute and storage options for maximum flexibility:
Asynchronously stream execution metadata into your chosen data warehouse (DynamoDB, BigQuery, Cosmos DB, or PostgreSQL) for real-time FinOps cost tracking and diagnostics archival into your preferred cloud storage.
AiScripto seamlessly integrates with your existing DevOps infrastructure:
Store and version your test cases in any of these platforms:
Built ground-up with a strict zero-data-retention philosophy, AiScripto enforces absolute multi-tenant environment isolation utilizing granular AWS IAM Role authorization, Azure RBAC, and Google Cloud IAM along with AWS STS temporary token management (or equivalent providers) across all distributed compute clusters.
Data residency flexibility: Run inference and storage exclusively within a single cloud region to meet GDPR, CCPA, and industry-specific compliance requirements (HIPAA, PCI-DSS, SOC2).
Fully managed platform with automatic updates, scaling, and multi-cloud failover.
Deploy on your own Kubernetes cluster (EKS, GKE, AKS) with complete control over infrastructure and data.
TUI client on-premise + serverless backend on your preferred cloud provider.