Frequently Asked Questions

Krut builds applications with native AI features natively integrated — including document OCR (extracting data from PDFs/scans), Speech-to-Text (STT), Text-to-Speech (TTS), real-time Speech-to-Speech voice streaming, and LLM-driven business logic.

Yes. Krut can generate full-stack apps that chain vision models, audio streams, and specialized LLMs directly into your frontend and backend workflows without requiring manual API glue code.

When you specify voice or document requirements in your prompt, Krut provisions appropriate AI model pipelines, audio WebSockets, and document parsing endpoints directly in your containerized backend.

Krut detects your project's runtime dependencies and automatically builds custom Docker container images on demand. You don't need to write Dockerfiles, configure Kubernetes manifests, or handle cloud VPCs.

Yes. For long-running AI operations, video/audio processing, or email sending, Krut automatically sets up async task queues (such as Redis / BullMQ) and dedicated background worker pools.

Krut automatically provisions isolated PostgreSQL databases and Redis caches with automated schema migrations, connection pooling, and persistent volume backing.

AI models frequently hallucinate or misunderstand complex edge cases. To ensure your project doesn't hit a dead-end, expert human software engineers are on standby to review execution logs, patch edge cases, and guarantee delivery.

If an AI container build encounters repeating compile errors or ambiguous requirement specs, our standby engineering desk can jump in to resolve the issue directly in the workspace.

Krut runs on prepaid credits — there are no recurring subscriptions or hidden lock-ins. Credits are consumed as you use AI features and run containers. Top up anytime securely via Razorpay.

Credits are credited upon payment capture. If you experience any delay, our support team will manually credit your account or refund your payment in full within 24 hours.