Run your intelligence on your own hardware
Amalgis processes your private data locally with sovereign inference and hybrid RAG, so your business insights never leave your control.
Your data, searched your way, on your hardware
Amalgis pulls answers from your own documents using hybrid RAG and GPU-native inference, without ever touching the public internet.
Hybrid RAG
Combines dense and keyword search to surface the exact internal documents you need.
Local processing
Every query runs on your dedicated GPU hardware, never on someone else's cloud.
Source grounding
Every answer links back to its source document, so you can verify the reasoning.
Multi-tenant isolation
Separate retrieval pipelines keep each team's data strictly compartmentalized and secure.
Precise retrieval
Fine-tuned search parameters reduce noise and surface the most relevant results first.
Zero cloud dependency
No external calls, no data egress. Your intelligence stays where it belongs: in your building.
Licensing and service tiers target your workhorse workloads
Compare plans by the components they cover. Pick the tier that matches how your team runs hybrid search and sovereign inference.
Local
For single teams that need on-premise retrieval with a single knowledge base and default search settings.
From $2,400
/ yearOne knowledge base
Hybrid RAG
Standard source connectors
GPU inference 1x
Docstore access
Pro
For growing teams that want more concurrent workloads and deeper control over retrieval and indexing.
From $4,800
/ yearUp to 5 knowledge bases
Advanced hybrid RAG
Custom source schemas
GPU inference 4x
API access
Priority support
Core
For organizations that need full control over infrastructure, multi-tenant isolation, and dedicated hardware.
Custom
Unlimited knowledge bases
Custom hybrid RAG
Multi-tenant isolation
GPU inference 8x+
Custom integrations
Dedicated support
Teams see faster answers, lower latency
Teams run sovereign inference on their own hardware and get precise answers without sending data to the cloud.
We stopped exporting internal documents to third parties. Hybrid RAG pulls answers from our own KB in seconds, and the response quality beats what we had before.
Jordan Reyes
IT Director, financial services firm
The multi-tenant setup let us isolate each business unit cleanly. GPU-native inference keeps queries fast even with dense document stores, and the ROI showed within the first cycle.
Priya Sharma
VP of Data Operations, healthcare analytics
Zero cloud dependency was the deciding factor. We deploy on dedicated GPUs, keep full control of access, and the local processing cost is predictable against the value it returns.
Marcus Chen
Head of Infrastructure, logistics provider
Deploying Amalgis on your hardware
Ready to run your intelligence where your data lives?
Talk with Amalgis about a custom deployment on your hardware. We'll map your use case and send a tailored quote.