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Proprietary Model Integration

Artificial Intelligence Systems 10.000

We fine-tune and train an exclusive decision-making model on your enterprise's sensitive data.

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Technical deliverables Artificial Intelligence Systems

SPEC 01

Retrieval-Augmented Generation (RAG) architecture

SPEC 02

Vector extraction (Pinecone/Milvus/pgvector)

SPEC 03

On-Premise stored proprietary knowledge base

SPEC 04

ML training and inference pipelines

SPEC 05

Secure Chat interfaces (internal/external use)

SPEC 06

Hallucination elimination via Prompt Engineering

SPEC 07

Decision process automation through AI

SPEC 08

Integration with internal company data sources

Technology stack
LLM Fine-tuningPythonRAGLLM Fine-tuningPythonRAGLLM Fine-tuningPythonRAG

Protocol

How we ship Artificial Intelligence Systems

Three stages. No process theatre.

01

Architecture

We map stack, data and integrations. Written decisions, not slides.

02

Execution

Incremental delivery, CI/CD, review. You see progress, not a big-bang.

03

Production

Cutover, monitoring, SLA. We stay on the system after go-live.

FAQ

Do you work with in-house teams?

Yes. Product, DevOps, security — clear rituals and docs.

Is SLA contractual?

Yes. RTO/RPO, on-call, patching — in the contract, not on a slide.

EXECUTION

Artificial Intelligence Systems Get a quote

Technical audit. Reply within 24 business hours. A plan on your stack — not a generic PDF.

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