Developers

Stack, infra, and the runtime behind every app.

Docker, databases, worker queues, MCP integrations, and standby engineers — the engineering surface of Krut.

The platform

Three capabilities

Why production apps need native AI power, self-building infrastructure, and human reliability.

01

AI-Native Capabilities

Go beyond simple web pages. Krut bakes native AI intelligence into your apps out of the box — OCR document parsing, speech input/output, speech-to-speech pipelines, and multi-model LLM logic.

  • AI OCR & Document Parsing
  • Speech-to-Text & Text-to-Speech
  • Real-time Speech-to-Speech
  • LLM Business Logic & Agents

02

Autonomous Infrastructure

Krut handles the entire backend stack. It builds custom Docker container images on demand, provisions PostgreSQL databases, and configures async job queues with background worker pools.

  • Custom Docker Image Building
  • Async Task & Worker Queues
  • PostgreSQL & Redis Clusters
  • Auto-scaling Container Hosting

03

Human Engineers on Standby

AI fails and misinterprets requirements. We keep expert human software engineers on standby to review code, patch edge cases, and guarantee your application gets over the finish line.

  • Human Engineer Safety Net
  • Complex Edge Case Resolution
  • Guaranteed Production Delivery
  • Direct Developer Feedback

Architecture

Designed for production

Multimodal AI, self-building containers, and human standby — in one runtime.

OCR, Speech-to-Speech & LLMs

AI-Native Intelligence Engine

Integrated AI pipelines handling document OCR extraction, speech-to-text, text-to-speech, real-time voice streaming, and LLM business logic.

  • Document OCR with multimodal vision models
  • Speech-to-speech streaming under 180ms
  • LLM business logic compiled into the app
  • Standby engineer audit on model health

Why Krut beats traditional AI coding tools

Eliminate AI hallucination dead-ends and manual cloud infrastructure headaches.

AI-Native App Capabilities

TraditionalStruggling to integrate OCR, speech-to-speech, and STT/TTS models manually with high latency

With KrutKrut natively wires multi-modal AI models, speech streaming, and OCR document processors directly into your application.

Infrastructure & Docker Build

TraditionalWriting Dockerfiles, configuring worker queues, K8s manifests, and managing background tasks

With KrutKrut dynamically compiles Docker container images and provisions background worker queues automatically.

AI Failure & Edge Cases

TraditionalAI hallucination dead-ends leaving you with broken or half-working prototype code

With KrutStandby human software engineers review and refine complex edge cases whenever AI reaches its limits.

Database & Schema Migrations

TraditionalManually managing database instances, connection pooling, and SQL migration scripts

With KrutAutomated schema migrations, connection pooling, and managed persistence built right in.

The sequence

Guaranteed execution workflow

How AI native generation, custom container builds, and human standby come together.

01/Prompt

Describe your vision

Specify your app needs — like an AI OCR document scanner, a voice-enabled CRM, or a background worker app. Plain English, zero setup.

OCR scanner with voice notes…

02/Build

AI builds & provisions infra

Krut generates the UI, compiles custom Docker images, configures worker queues, and connects multi-modal AI models.

uigenerated
dockercompiled
workersqueued

03/Launch

Human review & live launch

Our standby engineers check for edge cases, ensuring a flawless production deployment to a live URL.

live URL provisioned

human-reviewed

Standby

Have custom requirements or need developer assistance?

Our standby software engineers ensure that even the most complex AI-native requirements get built, refined, and deployed cleanly.