Launch production-grade AI applications using DrapCode’s AI app generator. Build smarter, ship sooner, and scale confidently.



Create AI-driven applications using generative prompts, then refine it visually for maintainable production-grade experiences.
Model end-to-end logic with drag-and-drop actions, conditions, retries, and observability, eliminating brittle scripts and manual orchestration.
Plug in GPT, open-source LLMs, embeddings, or custom ML endpoints through secure connectors, versioning, and environment-specific configuration.
Deploy on a secure cloud with monitoring, autoscaling, versioning, and rollback controls for consistent performance under demand.
Ingest structured and unstructured data, enable embeddings and predictions, delivering auditable insights for faster decisions across teams.
Enforce authentication, authorization, rate limits, and audit trails to protect prompts, datasets, and secrets across all environments.
Ship AI apps days faster using visual builders, reusable blocks, and templates tailored for enterprise-grade scenarios.
Reduce development effort, vendor sprawl, and maintenance overhead while maximizing reuse, observability, and transparency across teams.
Protect sensitive data with encryption, secret managers, role policies, and audit logging aligned to enterprise compliance requirements.
Compose microservices, APIs, and models, enabling incremental upgrades, A/B testing, and flexibility without disruptive rewrites.
EMR systems shouldn’t operate in isolation. By embedding them within larger platforms like Building Healthcare App Functionalities,you enable seamless care delivery across scheduling, documentation, and communication—without switching platforms.

