Enterprise AI assistants.
Your infrastructure. Your data.
Deploy production-grade AI assistants in minutes, not months. Multi-provider LLM support, intelligent knowledge bases, MCP tool integration, enterprise security — all running on your own infrastructure.
Enterprise AI is a complex domain.
These patterns show up everywhere.
The Document Dump
It seems logical: upload your docs, let the AI figure it out. But without proper chunking strategies and curation, you get inconsistent results. RAG isn't a feature — it's a discipline that takes time to get right.
The Provider Trap
You pick a provider, build around their API, and six months later a better model comes out elsewhere. Suddenly switching means rewriting everything. It's an easy trap to fall into.
The POC Gap
The demo works beautifully. Then someone asks about authentication. Multi-tenancy. Version control. Audit trails. The gap between "working prototype" and "production system" is bigger than it looks.
The Infrastructure Surprise
Every team building AI in-house discovers the same thing: the plumbing takes 3x longer than expected. Weeks turn into months. The use cases wait while infrastructure gets built.
The Security Afterthought
Access control, tenant isolation, SSO — these feel like "later" problems until compliance asks about them. Bolting security onto an existing system is always harder than building it in from the start.
The "What Changed?" Problem
Someone updates a prompt and results get worse. Which version was working? What exactly changed? Without proper versioning, debugging AI systems becomes guesswork.
Four studios.
One platform.
This is where every Gustave deployment begins. Assistants Studio is your design workbench — wire up providers, author prompts, compose assistants, control who sees what. Chat is where those assistants meet your users. Together, they're everything you need to go from zero to a production assistant in minutes.
Gustave Assistants Studio
The workbench where your AI assistants take shape. Connect providers, craft prompts, compose capabilities, manage access — then publish with a click.
- ✓ Multi-provider LLM management
- ✓ Prompt & skill authoring
- ✓ Assistant composition & versioning
- ✓ RBAC, roles & project management
- ✓ Full audit trail
Gustave Chat
Where your assistants meet the world. Real-time streaming, tool calling, RAG-augmented conversations — plus a full API so you can embed assistants anywhere.
- ✓ Real-time streaming responses
- ✓ Multi-turn tool calling (MCP)
- ✓ RAG-augmented conversations
- ✓ Rich markdown rendering
- ✓ Assistants API for integration
Your assistants are only as good as what they know. Knowledge Studio turns your documents into intelligent, searchable knowledge bases with proper chunking, embeddings, and vector stores — so your RAG pipeline delivers real answers, not hallucinations.
Knowledge Studio
From document ingestion to semantic search in one place. Full control over how your data is chunked, embedded, and retrieved — because RAG is a discipline, not a checkbox.
- ✓ Document collections & file management
- ✓ Configurable chunking strategies
- ✓ Multiple embedding providers
- ✓ Vector store creation & indexing
- ✓ Semantic search API
- ✓ Version-controlled knowledge bases
Semantic Search
Query your knowledge bases using natural language. Results are ranked by relevance, scoped to projects, and ready to feed into RAG pipelines or standalone search interfaces.
- ✓ Natural language queries
- ✓ Project-scoped search
- ✓ Relevance-ranked results
- ✓ Multi-store search
- ✓ REST API for integration
Knowledge makes your assistants smart. Tools make them capable. MCP Studio is where you give assistants the power to act — paste an OpenAPI spec, hot-load plugins, scope tools per assistant, and expose everything through the Model Context Protocol. One control plane for every integration.
MCP Gateway & Plugins
Hot-load plugins to extend your AI with custom tools. Query databases, call APIs, create tickets — or wrap multi-step business workflows into single deterministic tools.
- ✓ Plugin architecture with hot-loading
- ✓ Native MCP protocol support
- ✓ Built-in auth (Bearer, API Key, Basic)
- ✓ Dynamic configuration & tool bindings
- ✓ Health monitoring & audit logging
API Catalog
Import any OpenAPI specification and automatically expose it as MCP-compatible tools. Turn your existing REST APIs into AI capabilities without writing a single plugin.
- ✓ OpenAPI spec import
- ✓ Automatic MCP endpoint generation
- ✓ Plugin registry for sharing
- ✓ Per-configuration access controls
- ✓ WebSocket real-time notifications
From zero to production assistant
in five steps.
Connect Your AI Providers
Register one or more LLM providers. Switch between them at any time — your assistant configuration stays the same. Credentials are stored securely and never leave your environment.
- OpenAI, Azure, AWS Bedrock, Anthropic, Ollama
- Secure credential management
- Switch providers without rewriting anything
- Run local models for air-gapped environments
Build Your Knowledge Base
Upload documents, organize them into collections, and transform them into searchable knowledge bases with proper chunking strategies — not just document dumps.
- Support for multiple file formats
- Intelligent chunking per content type
- Extensible for additional formats
- Versioned with activation controls
Author Your Prompts
Write system prompts that define behavior and personality. Create skills that enrich context automatically. Organize with tags for team-wide discovery and reuse.
- System prompts for assistant behavior
- Skills for automated context enrichment
- Tag-based organization
Connect Tools via MCP
Give your assistants real capabilities through the Model Context Protocol (MCP) — the emerging open standard for AI tool integration. Query databases, call internal APIs, create tickets, search the web — anything exposed through an MCP server becomes a tool your assistant can use.
- Native MCP support — STDIO and HTTP servers
- Create reusable tool templates, deploy across environments
- Built-in auth (Basic, Bearer, API Key) per server
- Standards-based — no proprietary lock-in
Publish & Chat
Hit publish. Your assistant is immediately live with real-time streaming, rich formatting, and tool calling. Every publish creates an immutable version you can track and roll back.
- Version snapshots on every publish
- Real-time streaming responses
- Rich markdown rendering
- Full conversation history
Everything you need.
Nothing you don't.
On-Premises Deployment
Runs entirely within your infrastructure. Your data never leaves your environment. Compatible with air-gapped networks and strict compliance requirements.
Multi-Tenancy
Complete data isolation per tenant. One deployment can serve multiple teams or organizations with full separation and independent configuration.
SSO & Authentication
Enterprise single sign-on integration. Users are provisioned automatically on first login — no manual setup required.
Fine-Grained Access Control
Role-based permissions across all platform capabilities. Control who can create assistants, upload files, manage tools, or access specific features.
Version Control
Immutable version snapshots for assistants and knowledge bases. Track changes, compare versions, roll back with confidence. Full audit trail.
Independent Scaling
Each studio runs as an independent service. Scale Chat, Knowledge Studio, and MCP Studio separately based on workload. Deploy only what you need.
Ready to deploy AI
on your terms?
See what production-ready, on-premises AI infrastructure looks like. Deploy your first assistant in minutes.