Too slow
Too Slow
Your competition ships AI features while you are still writing architecture docs. Time-to-production kills the business case before it starts.
Production ready / enterprise RAG infrastructure
Your AI infrastructure,
ready in days - not months.
Route. Retrieve. Respond.
MacuoGPT turns your data into production AI without the 12-month build cycle. Deploy private enterprise assistants, intelligent knowledge bases, and RAG pipelines on infrastructure built to run at scale.
- 10,000+ documents in production
- Sub-second query response
- Multi-tenant architecture
- Self-hosted or managed
The problem
Building AI in-house takes everything you do not have.
Most enterprises spend 12-18 months and EUR 500K+ building custom AI infrastructure from scratch. The business case disappears before the system reaches production.
Too complex
Too Complex
RAG pipelines, vector stores, knowledge graphs, LLM orchestration, and multi-tenancy each need a specialist team just to stand them up.
Too risky
Too Risky
Sending documents to third-party AI APIs means proprietary data lives on someone else's infrastructure. Compliance, privacy, and sovereignty matter.
The platform
Enterprise RAG infrastructure you can deploy today.
MacuoGPT is a production-proven, self-hosted RAG stack with modular architecture, enterprise connectors, and multi-tenant support - ready on your infrastructure or ours.
QdrantNeo4jFastAPIMongoDBMinIORabbitMQRedisPrometheusGrafana
Data sources and connectors
Your Data
Connect existing data with native connectors. No migration and no duplication.
- YouTrack
- Google Drive
- Telegram
- Custom connectors
Storage and infrastructure layer
MacuoGPT Core
Production-hardened vector search, knowledge graph, object store, and document store in one coherent system.
- Qdrant
- Neo4j
- MongoDB
- MinIO
- FastAPI
RAG pipeline and orchestration
Intelligence
LLM routing, retrieval, and async processing with query classification, reranking, and response synthesis.
- LLM routing
- RAG pipeline
- Celery workers
- RabbitMQ
Application layer
Your Product
Surface intelligence as an enterprise assistant, knowledge-base UI, or embedded product chatbot.
- Enterprise assistant
- Knowledge base UI
- Custom chatbot
Use cases
Three ways enterprises deploy MacuoGPT.
Most popular
Custom Enterprise Assistant
Build a private assistant trained on internal documentation, processes, and institutional knowledge. No public-data hallucinations. No data leaving your infrastructure.
In production
Intelligent Knowledge Base
Transform documents, tickets, and SOPs into conversational search. Teams find answers in seconds rather than digging through folders for hours.
10,000+ documents live. Sub-second response time.
For AI product teams
RAG Pipeline Infrastructure
Use MacuoGPT as the platform layer for vector storage, retrieval, orchestration, and monitoring. Multi-tenant from day one.
How it works
From data to production, without a mystery build.
A clear, engineered path from discovery to an AI capability your team can use.
- 01
Discovery 2 weeks
Discovery
We map data sources, use cases, and infrastructure requirements. You get an architecture blueprint and implementation plan with no surprises.
- 02
Deploy 2-4 weeks
Deploy
MacuoGPT runs on your infrastructure or managed cloud. We configure connectors, tune retrieval, and validate performance.
- 03
Integrate 1-2 weeks
Integrate
Your team gets API access, documentation, a working interface, and production-grade query quality.
- 04
Scale Ongoing
Scale
Add departments, data sources, and use cases without rebuilding. The multi-tenant architecture grows with your organization.
Engagement model
Choose how deep you go.
Every engagement starts with discovery. We do not propose until we understand your infrastructure, data, and actual use case.
Discovery
The right starting point for any enterprise AI project.
- Requirements workshop and data audit
- Architecture blueprint for your use case
- Infrastructure readiness assessment
- Proof of concept on your data
- Implementation roadmap
Most chosen
Scale
Full MacuoGPT deployment with everything needed to go live.
- Full platform deployment
- Three enterprise data-source connectors
- Custom RAG pipeline tuning
- Knowledge-base ingestion and validation
- API docs and developer handoff
- 90-day post-launch support
Enterprise
For organizations making MacuoGPT permanent infrastructure.
- Multi-tenant deployment
- Unlimited connectors
- Dedicated infrastructure and SLA
- Monthly architecture reviews
- Priority engineering support
- Custom LLM routing
All engagements include discovery. Pricing follows the scoping call.
Validation
Already running in production.
18 months saved
"MacuoGPT deployed a production-grade RAG system in weeks. What we could not solve in a year and a half, they solved properly the first time."
5-day deployment
"We described our risk-management challenge on Monday. By Friday, our entire team was using a working prototype through internal channels."
8-week build
"For the first time, we can guarantee our clients that their private knowledge base remains inside their own infrastructure."
Leadership
Built by an engineer who has done this before.
MacuoGPT is designed from the ground up for enterprise multi-tenancy, reliable retrieval, and practical deployment.
CEO and lead architect
Leonid Blokhin
Principal architect behind MacuoGPT with deep expertise in RAG systems, vector infrastructure, and distributed AI pipelines.
- RAG systems
- Vector infrastructure
- Distributed AI
Let's talk about your project
Tell us what you need and we will respond within 24 hours.