One API. Frontier models. Infrastructure built for what comes next — self-hosted, private, OpenAI-compatible.
Three purpose-built AI models engineered for distinct professional domains — not interchangeable generalists, but precision-tuned specialists operating on a shared, fully self-hosted inference infrastructure. Built in Poland. 🇵🇱
Mika v3 is your intelligent language partner — trained to communicate with clarity, empathy and precision in both Polish and English. Whether you're drafting professional correspondence, translating technical documents, summarizing reports, or just need a thoughtful sounding board, Mika delivers consistently human-quality text that sounds like you, not a machine. Mika employs a proprietary live continuous learning mechanism and on-the-fly training innovation, supervised by its non-public twin model Ełe — a dedicated fine-tuning supervisor that monitors inference quality, detects distribution drift, and triggers targeted weight updates without service interruption.
Core Code v1 is a developer-grade AI model tuned specifically for software engineering tasks. It understands architecture, not just syntax. Give it a task description and it returns production-ready code with proper error handling, tests, and documentation — across every major language and framework in use today. Like all MikaAI models, Core Code v1 incorporates an automated live-learning pipeline — real-world inference patterns are continuously analysed and fed back into incremental training cycles supervised by the twin model Ełe, keeping the model sharp against evolving codebases and emerging frameworks.
TaskMind v1 is purpose-built for AI agent frameworks — designed to understand tool calls, multi-step instructions, structured JSON output, and long-horizon task planning. Whether you're running Hermes, OpenClaw, or any other orchestration layer, TaskMind integrates as a drop-in model endpoint that speaks the same language as your agents. TaskMind's tool-calling accuracy benefits directly from the shared live-learning infrastructure: the twin model Ełe continuously evaluates JSON schema compliance across all inference calls, triggering micro-fine-tuning passes that reinforce structured output fidelity over time.
TaskMind v1 plugs directly into your existing agent infrastructure. Download the official integrations for the most popular frameworks.
Download integrationsWe expose a native MCP server (Model Context Protocol) — the open standard spoken by Claude Desktop, Cursor, VS Code and agent frameworks. Point your client at one URL, authenticate with your API token, and our models become callable tools inside your workflow. Same account, same budget, OpenAI-compatible under the hood.
If you already use OpenAI or Ollama, switching to MikaAI takes one line of code. Change the base URL and your API token — everything else stays the same. Full streaming support included.
# MikaAI — drop-in OpenAI replacement from openai import OpenAI client = OpenAI( base_url="https://ai.coreinfra.eu/api", api_key="your-token-here", ) response = client.chat.completions.create( model="mika-v3", messages=[{ "role": "user", "content": "Review this code and explain it", }], stream=True, ) for chunk in response: print(chunk.choices[0].delta.content)
1,000 tokens every day, zero credit card required. Upgrade when you need more.