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.

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Built different

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.

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Hybrid RAG

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

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GPU-native inference

Runs on dedicated hardware you control, with the speed your work demands.

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Local processing

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

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Multi-tenant by design

Isolated workspaces keep each team's data separate, even on shared infrastructure.

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Multiple retrieval paths

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

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No external calls

Answers come from your sources, not third-party models sending data elsewhere.

PERFORMANCE & SECURITY

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.

Customer results

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.

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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.

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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.

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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.

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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.

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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.