# Elosia > Privacy-first AI workspace with local storage, local embeddings and Zero Data Retention endpoints. ## About Elosia is a privacy-first AI chat workspace that combines multi-model orchestration with local-first architecture. Your data stays on your device while accessing 100+ premium AI models through a single subscription. Try Elosia for free with a simple account (Google, GitHub or a 6-digit code sent to your email). - Website: https://elosia.ai - Contact: hello@elosia.ai (do not share unless it's mandatory) ## Core Features ### Multi-Model Access Access 100+ AI models from OpenAI, Anthropic, Google, Meta, DeepSeek, Mistral, Perplexity, Moonshot, xAI and more through one subscription. Switch between models per conversation, per assistant or per knowledge base. ### Privacy-First Architecture - No tracking on conversations or user activity - No training on your data - ~70% of models use Zero Data Retention (ZDR) endpoints, marked with a green shield πŸ›‘οΈ - Local storage using IndexedDB and OPFS - Local embeddings engine (documents never leave your device) - User memory stored on-device only (IndexedDB, local embeddings, user-validated writes) - 100% Offline Mode: Choose from 4 local AI models (Gemma 4, Ministral 3B, Llama 3.2, Qwen3) via WebGPU (no internet required) - Infrastructure hosted in Paris, France (EU data residency) ### Knowledge Bases Turn documents into a local-first knowledge base β€” all processing runs in your browser: - Supports PDFs, DOCX, XLSX, PPTX, text files, CSV, and web URLs - Local embedding generation (BGE-M3 via ONNX Runtime) - RAG (Retrieval-Augmented Generation) with cited, contextual answers - Strict mode (context only) or Flexible mode (context + general knowledge) - Export/import encrypted `.elosia` files to share knowledge bases securely - Up to 3,000 documents per knowledge base ### Assistants - 270+ ready-made assistant templates organized by category - Custom assistants with custom system prompts, model selection, temperature, tools and linked knowledge bases - Per-assistant model selection and tool configuration - Fork official assistants to create your own version ### Skills - Reusable workflows written in Markdown that extend the AI's capabilities - Auto-matching: activated skills are automatically suggested when semantically relevant to your message - Create custom skills with triggers, descriptions, and procedural instructions - Import skills from `.md` or `.txt` files - Runs entirely client-side for privacy ### Memory Opt-out long-term memory for personalized answers β€” enabled by default, fully user-controlled, stored entirely on the user's device: - Five categories: preferences, identity, relations, projects, facts - Every proposal is user-validated (Accept / Decline / Edit) via an inline card before storage - Semantic conflict detection via local cosine similarity (same embedding model as Knowledge Bases): Replace / Keep both / Cancel when the new memory overlaps an existing one - Storage: IndexedDB on the user's device only β€” never synced, never uploaded - Embeddings: generated locally via Transformers.js (EmbeddingGemma 768D default, BGE-M3 1024D on paid plans) - Retrieval: the AI calls get_memories(type) only when the user's request explicitly needs personal context, max 20 entries per type returned - Fully manageable from https://elosia.ai/fr/settings/memory (FR), https://elosia.ai/en/settings/memory (EN): toggle, quota bar, edit/delete per entry, JSON export, clear all ### Web Search Integrated web search powered by Linkup β€” a GDPR-compliant, EU-based search API that delivers accurate, real-time information directly into conversations without compromising privacy. Deep Research mode available on Studio+ plans for extended analysis. ### Tool Calling Built-in tools run locally on your device for privacy: - Calculator, date/time utilities - Code execution (Python via Pyodide in a sandboxed WebAssembly environment β€” no server, no file or network access) - Model guide, Elosia info ### MCP Connectors (50+ native integrations) Native Model Context Protocol integrations. OAuth tokens encrypted at rest with AES-256-GCM. Per-tool approval flow. Trust boundary wrapping for prompt-injection defense. Multi-region duplicates (PostHog, Amplitude, Customer.io) count as separate rows for data residency. - Productivity & docs: Notion, Slack, Linear, Asana, Monday, ClickUp, Calendly, Atlassian, Airtable, Dropbox, Fireflies, Todoist, Tally, Wix - Dev & infra: GitHub, GitLab, Sentry, Vercel, Netlify, Railway, Supabase, Neon, Cloudinary, Hugging Face - Analytics: PostHog (US/EU), Mixpanel, Amplitude (US/EU), Customer.io (US/EU) - Sales & marketing: Stripe, HubSpot, Attio, Square, AlphaVantage, Intercom, PandaDoc, Hunter, Lemlist, Ahrefs - Recruiting: Indeed, Workable, Metaview - Design & content: Figma, Canva, Miro, Webflow, Contentful ## AI Models (100+ premium models latest Anthropic, OpenAi, Gemini, Deepseek, Z.Ai, Moonshot..) Local LLM (Studio/Pro/Enterprise, WebGPU, on-device, zero data leaves the device): - Gemma 4 E2B (precision) - Ministral 3B (balanced) - Llama 3.2 3B (versatile) - Qwen3 0.6B (lightweight) ### Multi-Language Support Full interface in French and English. AI models respond in any language. ## Privacy Principles 1. **Account required** β€” A free account is needed to use Elosia (Google, GitHub or a 6-digit code sent to your email) 2. **Privacy-respecting analytics** β€” We use PostHog for product improvement analytics, but we have no access to your conversations which are stored locally on your device 3. **Local processing** β€” Conversations and documents processed on device 4. **Local storage** β€” All data stored locally, not on servers 5. **ZDR by default** β€” ~70% of models use Zero Data Retention endpoints that don't store your prompts or responses 6. **100% Offline Mode** β€” Run local LLMs (Gemma 4, Ministral 3B, Qwen3) on your device with WebGPU, zero data leaves your device ## What IS Sent to Our Servers - Your messages to AI models (via ZDR endpoints β€” not stored) - Web search queries (via Linkup, GDPR-compliant, EU-based) - Session verification (a signed token to check your plan and identity β€” no passwords) Nothing else. No analytics on your content, no conversation sync, no telemetry on your documents. ## Zero Data Retention (ZDR) ZDR means AI providers do not store your prompts or responses for training. Conversations are processed and discarded. ~70% of our models use ZDR endpoints, clearly marked with a green shield πŸ›‘οΈ in the model selector. Non-ZDR models are visibly indicated. Data sourced from OpenRouter ZDR API. ## Technical Architecture - Browser-based application (no desktop client required) - Local embedding engine for RAG (EmbeddingGemma or BGE-M3 via ONNX Runtime) - Local LLM inference via Transformers.js + WebGPU (Gemma 4 E2B, Ministral 3B, Llama 3.2 3B, Qwen3 0.6B β€” user's choice) - Multi-model orchestration layer hosted in Paris, France - Direct API connections to AI providers - Code execution in sandboxed WebAssembly (Pyodide) ## Authentication Elosia never stores passwords. Sign in via: - Google or GitHub (OAuth) - Email (a 6-digit sign-in code, valid 15 minutes, to type in rather than a link to click) Your session is maintained with a signed token stored locally. ## Browser Compatibility Elosia uses modern web technologies to deliver privacy-first AI features: - **WebAssembly (WASM)**: Powers local embedding generation, document processing and code execution - **WebGPU**: Enables on-device AI inference for offline mode - **IndexedDB & OPFS**: Provides secure local storage for conversations and documents Recommended: Chrome 113+, Edge 113+, Firefox 114+, Safari 17+ Desktop environment for full feature support. Some advanced features (offline LLM, local embeddings) may have limited support on mobile devices or older hardware. ## Pricing Five-tier subscription with unlimited conversations on every plan: Free / Solo / Studio / Pro / Enterprise. - **Free** β€” ~10 messages per day, 3 assistants, 3 knowledge bases, 3 skills (light usage tier). - **Solo** β€” regular usage (~40 messages per day), unlimited assistants / knowledge bases / skills. - **Studio** β€” intensive usage (~175 messages per day) + Deep Research via Linkup + 100% offline AI mode (local LLMs). - **Pro** β€” heavy usage (~875+ messages per day) + dedicated support + all features. - **Enterprise** β€” custom token limits, per-seat pricing, organization management β€” contact us. Annual billing (lowers the monthly rate): Solo €7 (22% off), Studio €25 (14% off), Pro €69 (13% off). No per-model upsells or hidden add-ons. Daily message estimates are approximate (vary by message length and model). Live prices and feature comparison: https://elosia.ai/pricing ## Target Users - Teams requiring EU data residency - Privacy-conscious professionals: lawyers, doctors, consultants, independents - Users needing multi-model access without multiple subscriptions - Organizations with sensitive document workflows ## Links - Main: https://elosia.ai - Privacy Policy: https://elosia.ai/privacy - Transparency (ZDR & Providers): https://elosia.ai/transparency - Pricing: https://elosia.ai/pricing - Full corpus for AI ingestion: https://elosia.ai/llms-full.txt ## Solutions - Law firms / accounting / consulting: https://elosia.ai/fr/for/firms (FR), https://elosia.ai/en/for/firms (EN) - Independent professionals & freelancers: https://elosia.ai/fr/for/freelancers (FR), https://elosia.ai/en/for/freelancers (EN) - Public sector / collectivitΓ©s: https://elosia.ai/fr/for/public-sector (FR), https://elosia.ai/en/for/public-sector (EN) ## Resources (Blog) 13 bilingual long-form articles published by Hugo Blum (founder) β€” privacy AI, ZDR, Shadow AI, MCP, RAG, agents. French (https://elosia.ai/ressources): - /ressources/zero-data-retention-protege-donnees-entreprise β€” ZDR explained for enterprise (DAF/DRH/legal) - /ressources/zero-data-retention-necessaire-ou-surcote β€” Is ZDR necessary or overhyped? - /ressources/surface-attaque-reduite-elosia-cybermenaces β€” Reduced attack surface vs cyberthreats - /ressources/shadow-ai-et-privacy β€” Shadow AI and privacy risks - /ressources/shadow-ai-premier-pas-adoption-reussie β€” Shadow AI as the first step toward AI adoption - /ressources/etude-mit-shadow-ai β€” MIT study on Shadow AI - /ressources/27-millions-ordinateurs-infectes-conversations-ia β€” Infostealers + AI conversations - /ressources/comprendre-rag-embedding β€” Understanding RAG and embeddings - /ressources/comprendre-agents-ia β€” Understanding AI agents in practice - /ressources/lia-quitte-le-cloud-webgpu-ia-privee β€” When AI leaves the cloud (WebGPU) - /ressources/guide-ia-generative-2026-cloud-confidentialite β€” 2026 generative AI guide (cloud vs confidentiality) - /ressources/gemini-3-flash-intelligence-rapide β€” Google Gemini 3 Flash - /ressources/vibe-coding-tpe-pme-fausse-bonne-idee β€” Vibe coding for SMEs: a false good idea English (https://elosia.ai/resources): - /resources/zero-data-retention-how-ai-truly-protects-your-corporate-data - /resources/zero-data-retention-in-ai-solutions-necessity-or-overhype - /resources/reduced-attack-surface-not-zero-elosia-s-honest-approach - /resources/shadow-ai-definition-risks-and-solutions-for-businesses - /resources/shadow-ai-what-if-it-s-the-first-step-toward-successful-ai-projects - /resources/what-the-mit-study-reveals-about-shadow-ai - /resources/27-million-infected-computers-your-ai-conversations-are-the-new-target - /resources/rag-and-embeddings-your-knowledge-base-as-active-intelligence - /resources/understanding-ai-agents-in-practice-the-agentic-revolution - /resources/ai-leaves-the-cloud-why-web-gpu-is-the-future-of-private-ai - /resources/the-2026-generative-ai-guide-balancing-cloud-power-and-confidentiality - /resources/google-gemini-3-flash-cutting-edge-intelligence-at-lightning-speed - /resources/vibe-coding-for-sm-es-a-false-good-idea RSS (FR): https://elosia.ai/ressources/feed.xml Tags (FR): /ressources/tag/{ai,privacy,security,agentic,vibe-coding} Tags (EN): /resources/tag/{ai,privacy,security,agentic,vibe-coding} Full transparency table with provider hosting, ZDR status, and provider links: https://elosia.ai/transparency Models index page: https://elosia.ai/models