The Modular
AI Architecture For Enterprises

Scaling without lock-in. Achieve total control via a unified common interface.
Build, optimize, and operate production-ready agentic workflows on your own sovereign infrastructure.

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Enabling enterprise platform teams to build, deploy, and operate custom Large Language Model (LLM) agents with zero switching costs.

Break through vendor lock-in with a modular AI architecture designed for sovereign control, allowing you to swap model providers while keeping your business logic unchanged.

THE MODULAR AI ARCHITECTURE

SCALING WITHOUT LOCK-IN

The Optimization Funnel

Natively compile raw models into optimized computation graphs with CuDNN fusion and Algebraic simplification for maximum hardware throughput.

Unified Common Interface

Standardize your intelligence layer. Swap EmbeddingModels, VectorStores, and DocumentRetrievers with zero changes to your business logic.

Model Supply Chain

Automated acquisition, conversion, and validation. Secure your models via .karch archive imports for truly air-gapped environments.

OpenAI Compatible

Full API compatibility for LLM and VLM execution. Existing integrations can instantly point to Kompile as a drop-in replacement.

The Pillars of

A Unified, Sovereign
Modular AI Stack

1. Kompile App

The Application Layer. A Spring Boot RAG framework with 40+ modules. Write once, swap anywhere across the standardized intelligence layer.

2. Model Staging Server

The ML Engine. Standalone lifecycle service to download, convert, and execute models entirely locally and securely.

3. Kompile CLI

The Orchestrator. Command-line mastery with over 100 native commands to orchestrate the entire ecosystem from bootstrap to production.

Maximum Inference Optimization

Beyond standard execution. Kompile natively handles Dead code elimination, Triton GPU compilation, and FP16 Weight pre-casting to ensure your local models run at peak efficiency.

Continuous Model Refinement

Retain control by evolving your models alongside your proprietary data. Native support for PEFT (LoRA), Alignment (RLHF, DPO, KTO), and Teacher-Student Distillation without requiring fragmented external tooling.

Developer Operations Matrix

Unified interface for Build & Install (GraalVM, Python, Maven), Manage & Config (Subprocess, SDK), Interaction (Chat, MCP-STDIO), and Data Pipelines (Ingest, Index, Schedule).

Air-Gapped Sovereign Data

Total ownership of your model supply chain. Move from expensive external providers to self-hosted, air-gapped infrastructure with zero code changes to your core business logic.

Standardized Intelligence Layer

Our platform supports models built on popular frameworks, including TensorFlow, ONNX, PyTorch, Keras, Jax, and GGML... providing unparalleled flexibility.

WORKS WITH MODELS YOU TRUST