Artemia provides an on‑premise generative AI platform that lets enterprises run a Retrieval‑Augmented Generation chatbot, MIA, within their own infrastructure, keeping all data local and compliant. The system indexes PDFs, Office files, code, databases and more, delivering context‑aware answers and integrating via a custom AI API into ERP, CRM, and other internal tools, while supporting any chosen LLM or embedding model.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises need to extract actionable insights from their internal documents and data, but existing cloud‑based AI tools require sending sensitive information to external servers, creating compliance and security risks. Additionally, generic AI assistants lack the ability to understand company‑specific context, limiting their usefulness for tasks like onboarding, support, and decision‑making.
Solution
Artemia delivers an on‑premise generative AI platform that runs entirely within a customer’s own infrastructure, ensuring that no data leaves the local environment. The core product, MIA, is a conversational assistant built on a Retrieval‑Augmented Generation (RAG) architecture that indexes PDFs, Word files, databases, code repositories, and other enterprise formats to provide context‑aware answers in real time. A custom AI API extends these capabilities to existing business applications such as ERP, CRM, or internal tools, enabling automated content generation, summarization, and data analysis while preserving full data sovereignty. The solution is model‑agnostic, allowing selection of the most suitable large language, embedding, or vision models for each use case, and includes consulting, infrastructure sizing, and training services to ensure secure, scalable deployment.
Target Audience
Primary customers are mid‑size to large enterprises across industries that handle confidential data and require AI‑driven assistance for internal knowledge work, such as HR, legal, IT support, and product teams.
Features
- On‑premise deployment of the MIA chatbot, guaranteeing that all processing and storage remain within the client’s network
- Retrieval‑Augmented Generation pipeline that pulls information from over thirty supported document formats, including PDFs, Office files, code, and database extracts
- Multilingual support for 180+ languages and programming languages, enabling global teams to interact in their preferred language
- Custom AI API that can be integrated into existing enterprise systems (ERP, CRM, internal platforms) for automated workflows and data processing
- Model‑agnostic architecture that selects and combines LLMs, embedding models, and vision models based on performance benchmarks
- Secure, compliance‑ready environment with GDPR‑aligned controls, audit logs, and no third‑party data transmission
- Turnkey implementation package covering hardware sizing, installation, and user training to accelerate adoption