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Logix is sovereign agentic AI infrastructure for organizations that want to own their AI workspace, not rent it. Give your teams an AI workspace like Claude.ai or ChatGPT with full control over your data, knowledge, and infrastructure.
Built for SMEs, enterprises, government and organizations with strict data-privacy demands.
A familiar, modern AI workspace — running entirely on your own knowledge, data and infrastructure, for maximum privacy.
All data stays inside your own infrastructure.
Upload your files and Logix parses, chunks and embeds them on your own hardware (BGE-M3). Ask a question and get an answer with a Sources panel that cites the exact document and page it came from — so your team can verify, not just trust.
Sources panel
Build, deploy and govern your organization’s AI on one platform you fully control.
Compose agents, knowledge & skills
Run anywhere you choose
Own & control everything
Logix supports both, and routes requests transparently between them with Hybrid LLM Routing.
Run models and data entirely inside your own datacenter for maximum data sovereignty, cost control, and enterprise privacy.
Start fast and scale on demand, blending leading cloud models into your workloads with flexibility.
The whole stack deploys with a single docker compose command — no Kubernetes, no dedicated DevOps team. And because everything lives in one PostgreSQL database, a single backup captures all of it.
A complete platform that unifies agent orchestration, knowledge, memory, and infrastructure management in one place.
Orchestration, reasoning, and tool use across autonomous agents.
Wiki, Vectors, and Graph unified into a single knowledge layer.
Episodic, Semantic, and Procedural memory for durable context.
A standard protocol hub for integrating tools.
User-created, shareable automation skills.
Configurable AI personas tailored per use case.
A GUI for managing vLLM, Ollama, and SGLang.
A catalog of AI apps plus support for custom repos.
Let external applications integrate securely via API.
Transparent routing between Cloud and On-Premise models.
Point your existing OpenAI SDKs, LangChain or LlamaIndex at Logix by changing one line — the base URL. Issue scoped, revocable API tokens; every call is rate-limited and audit-logged. Our own apps use the exact same public API you get.
from openai import OpenAI
client = OpenAI(
base_url="https://logix.your-org.com/v1", # 👈 the only change
api_key="logix-•••••••••••",
)
resp = client.chat.completions.create(
model="logix-private",
messages=[{"role": "user", "content": "..."}],
)From research copilots to automation — one AI workspace for the whole organization.
Search and synthesize internal knowledge with agents grounded in your own sources.
24/7 assistants that understand your context, policies and tone.
Summarize, extract and query large document sets and data with RAG.
Build reusable skills to automate repetitive team workflows.
Configure expert AI personas specialized per department or use case.
Let teams ask questions of sensitive data without it ever leaving your walls.
Point Logix at your existing HR, sales, inventory or student-records database and let the AI answer questions over real, up-to-the-minute operational data. Queries are read-only, limited to allow-listed tables, and destructive statements are blocked. Logix stores only a connection config — your data never leaves your database.
Answers over real-time operational data.
Allow-listed tables; destructive statements blocked.
Logix stores only a connection config — no ingestion.
Logix ships with its own private LLM that runs on your infrastructure — plus ADE Mode for high accuracy with fewer mistakes.
A sovereign language model launching with Logix Native — runs entirely inside your organization, your data never leaves, and it tunes to your domain.
A high-accuracy mode that reduces errors and hallucinations — built for the work where correctness matters most.
Before answering, Logix breaks the response into individual claims and checks each one against your source documents. Claims it can’t support are demoted, and when the evidence isn’t there, Logix abstains rather than guesses — answers grounded in your sources, or an honest “I don’t know.”
A familiar ChatGPT/Claude-style workspace — but your organization owns the data, models, and infrastructure.
| Logix (Sovereign) | Public Cloud AI | |
|---|---|---|
| Data stays in your infrastructure | ||
| On-premise / air-gapped deployment | ||
| Own the models & knowledge | Own | Rent |
| Custom agents, skills & personas | Limited | |
| Hybrid LLM routing (cloud + on-prem) | ||
| Cost model | Your own infrastructure | Recurring per-seat |
| Vendor lock-in | None (open source) | High |
Multi-tenant from day one with PostgreSQL Row-Level Security — a cross-organization query simply returns nothing, verified by a security regression suite on every release.
Single sign-on over OIDC — Azure AD / Entra, Okta, Google Workspace and Auth0 — plus a Sessions view to revoke any device in one click.
Every document, persona and skill carries a visibility tier — personal, department, organization or public — enforced at the database level, so people only see what they’re allowed to.
Upload PDFs and Logix extracts the figures, tables, equations and plot data — not just text. Papers are linked into a knowledge graph with full bibliographic metadata, and the manuscript editor manages your citations and exports straight to Word, LaTeX with BibTeX, or Overleaf. One workspace from literature review to submission.
Figure & table extraction
Research knowledge graph
Citation management
Word · LaTeX · BibTeX · Overleaf
The core platform is available today — with new capabilities rolling out continuously.
Your organization owns and hosts the platform. Your data, models, and knowledge stay inside your own infrastructure and never leave to a third party.
Yes. Logix deploys on-premise, on-cloud, or hybrid, and fully supports air-gapped environments.
Open models via vLLM, Ollama, and SGLang, plus cloud models through transparent hybrid routing (LiteLLM).
All data, vectors, and knowledge live in your own database. There are no external calls unless you explicitly route to a cloud model.
It’s an AI workspace like ChatGPT or Claude — with agents, skills, personas, and a unified knowledge system.
A one-click deployment catalog plus an Infrastructure Manager GUI, with ThinkSpace supporting your rollout.
Talk to our team about deploying Logix on-premise or on-cloud — built for SMEs, enterprises, government and any organization with strict data-privacy demands.
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