Sovereign intelligence that never leaves your hardware
Amalgis runs hybrid RAG and GPU-native inference entirely on your own dedicated infrastructure. Zero cloud dependency, full control over your private data.


Your data should not leave your building
The cloud is a convenience. It is also where your data becomes someone else's asset. Amalgis keeps intelligence local, so private data stays private.

Hybrid RAG
Hybrid RAG pulls precise answers from your own documents, not the public internet.

GPU-native inference
Runs on dedicated hardware you control, with the speed your work demands.

Local processing
Amalgis processes and understands business data locally, with zero cloud dependency.

Multi-tenant by design
Isolated workspaces keep each team's data separate, even on shared infrastructure.

Multiple retrieval paths
Combines search methods to fetch precise internal data for well-grounded answers.

No external calls
Answers come from your sources, not third-party models sending data elsewhere.
2+ layers keeps your data yours
Amalgis runs fast on dedicated GPUs while every retrieval stays inside your own hardware. No cloud, no shared risk.
2+
Security layers
No cloud, so your data never leaves your own hardware.
0x
Cloud dependency
Every query runs locally, with nothing sent externally.
4x
Faster on GPU
Multimodal retrieval runs on dedicated GPU hardware.
100%
Data stays in-house
Your private documents stay on your premises, always.
Hybrid RAG in practice
Teams use Amalgis to turn internal documents into precise, grounded answers. Their results speak for themselves.
We stopped sending sensitive contracts to outside tools. Amalgis answers from our own documents, and it's fast on our GPUs.

Daniel Reyes
Operations Lead, logistics firm
The hybrid RAG setup pulls from our internal KB and docstore without touching the cloud. That's exactly what our compliance team needed.

Priya Sharma
Head of Data Governance, healthcare org
We set up multi-tenant workspaces for three departments in an afternoon. Each one queries its own sources with zero cross-talk.

Marcus Webb
Platform Engineer, mid-market SaaS
Retrieval is noticeably sharper than our old keyword search. The hybrid approach catches context our previous system missed.

Elena Kovacs
Research Director, engineering consultancy
Onboarding was straightforward. We pointed Amalgis at our docstore, trained it on internal policies, and had grounded answers same week.

James Okafor
IT Director, financial services
Private data in, precise answers out

Ready to run your intelligence entirely on your own hardware?
A quick demo shows how sovereign inference, hybrid RAG, and zero-cloud processing work on your data. Setup takes under an hour, and your information never leaves your infrastructure.