Your Enterprise Data.
Private Local AI on Your Hardware.
Stop leaking proprietary contracts, financial ledgers, and patient records to public cloud LLMs. We deploy state-of-the-art open-source neural models (DeepSeek, Llama 3.3, Mistral) directly onto your on-premise physical servers.
User Query (Private Financial RAG):
Analyze Q3 mining transport invoices from Odisha i3MS portal. Compare against GPS weighbridge telematics and flag anomalies.
On-Premise Model Response: 142 tok/s • 0ms Latency
Public Cloud AI vs. On-Premise Private AI
Why Fortune 500 banks, healthcare providers, and high-growth enterprises are aggressively repatriating AI workloads back to on-premise hardware.
Cloud AI APIs (ChatGPT / Claude)
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Data Leakage & Subpoena Vulnerability: Every internal prompt, patient record, or legal agreement leaves your firewall and resides on US cloud servers.
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Uncapped Metred Token Invoices: Heavy document processing and multi-agent loops scale costs exponentially. ₹2,00,000+/month in recurring token fees.
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Broadband & Outage Reliance: If fiber cuts occur or OpenAI server rate limits trigger (HTTP 429), your enterprise operations halt.
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Arbitrary Policy & Content Censorship: Cloud providers frequently modify model behavior, deprecate endpoints, or block sensitive corporate queries.
SRIT On-Premise Private AI
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100% Physical Data Confidentiality: Weights and databases live on bare-metal hardware inside your building. Zero bytes ever touch the internet.
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₹0 Ongoing Token Invoices: Predictable one-time server investment. Generate 50,000,000 tokens daily for $0 in API subscription costs.
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Air-Gapped 24/7 Resilience: Lightning-fast inference over local LAN (10GbE). Works 100% reliably even without external internet connections.
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Custom RAG & Enterprise MCP Protocols: Fine-tuned on your internal ERP, SOP manuals, and proprietary SQL schemas with total access control.
Our 5-Layer On-Premise AI Stack
Engineered with battle-tested open-source components for sub-second latency, deterministic RAG accuracy, and zero vendor lock-in.
Compute Layer
NVIDIA RTX 4090 / RTX 6000 Ada / Mac Studio M3 Ultra bare-metal sizing with CUDA acceleration.
vLLM & llama.cppNeural Models
DeepSeek-R1, Llama 3.3 70B, Mistral Large, Qwen 2.5 Coder quantized in AWQ/FP8 for maximum throughput.
SOTA Open WeightsLocal Vector DB
Hybrid semantic retrieval via ChromaDB, Qdrant, and pgvector with BM25 keyword re-ranking.
BGE-M3 EmbeddingsMCP & Connectors
Model Context Protocol (MCP) servers securely linking LLMs directly to PostgreSQL, SAP, and Tally ERP.
Tool Use & AgentsEnterprise UX
Custom web interfaces, LibreChat, OpenWebUI with Active Directory / LDAP Single Sign-On and audit logs.
RBAC & Access ControlHigh-Impact Industry Applications
Purpose-built on-premise AI assistants configured for regulated Indian and international industries.
Healthcare & Hospitals
Air-gapped clinical record summarization, discharge summary drafting, and ICD-10 coding assistance with zero patient health data exposure.
Legal & Corporate Law
Search 20,000+ internal contracts, M&A filings, and case law dossiers with semantic precision without sharing client NDAs with cloud APIs.
Mining & Logistics ERP
Natural language SQL querying over fleet GPS telematics, Odisha i3MS permit audits, weighbridge logs, and fuel dispatch ledgers.
Banking & NBFC Finance
Automated credit memorandum drafting, bank statement OCR extraction, and AML transaction anomaly detection on private infrastructure.
Universities & Education
Campus-wide private AI tutor for 10,000+ students indexed on university syllabus, exam archives, and research databases.
Enterprise Software Teams
Air-gapped code assistant (Qwen 2.5 Coder) for proprietary Git repositories. Autocomplete, unit test generation, and architecture audits.
Turnkey Hardware & Deployment Pods
We architect, procure, install, and configure the complete bare-metal hardware and software pipeline for your office.
Department AI Pod
Ideal for law firms, accounting practices, and single-department document search.
- Local ChromaDB Vector RAG
- Web UI with Role Access
- On-Site Installation & Handover
Enterprise Multi-GPU Pod
Full 70B parameter reasoning models capable of deep financial audit and ERP analysis.
- Hybrid Qdrant Vector Pipeline
- Active Directory / LDAP Integration
- Continuous Ingestion Watchers
- 1 Year SLA & Model Updates
Custom AI Sovereign Cluster
For government bodies, hospital networks, and conglomerates with thousands of users.
- Multi-Node Distributed vLLM
- Custom LoRA Fine-Tuning Pipeline
- Dedicated 24/7 AI Engineer SLA
4-Stage Deployment Methodology
From initial compute sizing to full on-premise air-gapped handover in 2 to 4 weeks.
Audit & Hardware Sizing
We evaluate your document volume, user concurrency, and existing server racks to recommend the optimal GPU compute build.
Model Benchmark & Quantization
We select and quantize the best open weights (DeepSeek, Llama 3.3, Mistral) in AWQ/FP8 for maximum tokens-per-second on your chips.
RAG Indexing & MCP Sync
We configure private vector databases (ChromaDB/pgvector) and connect MCP agents to your internal ERP, PDFs, and SQL tables.
Air-Gap Lockdown & Handover
We isolate the server from external egress, configure LDAP/RBAC employee access, train your IT staff, and deliver 100% source ownership.
Frequently Asked Questions
Everything you need to know about adopting private on-premise AI for your organization.
How does Local AI compare in quality to ChatGPT (GPT-4) or Claude 3.5 Sonnet?
Modern open-weights models like DeepSeek-R1, Llama 3.3 70B, and Qwen 2.5 match or exceed proprietary cloud models in enterprise domains like coding, financial extraction, and document QA. Because we augment the model with your company's exact private knowledge base via Local RAG, answers are tailored, cite specific internal SOPs, and produce zero hallucinations.
What happens if our office internet goes down completely?
Because the entire neural pipeline runs locally on your internal LAN, the AI continues working at 100% speed with zero interruption. Your teams can summarize contracts, analyze medical charts, or generate code without any active broadband connection.
Can different employees have different access permissions to sensitive documents?
Yes. We implement Role-Based Access Control (RBAC). For example, HR personnel can query payroll and employee dossiers, while engineering staff only query technical SOPs and codebase docs. The vector retrieval engine enforces security boundaries before returning document chunks.
Do you provide on-site hardware installation in Bhubaneswar and across India?
Yes. SRIT Creations delivery pods provide direct on-site server installation, rack mounting, CUDA driver optimization, and staff training across Bhubaneswar, Cuttack, Kolkata, Mumbai, Delhi NCR, Bangalore, Pune, and all 759+ covered districts.
Ready to Own Your Enterprise AI?
Schedule a private 30-minute architecture consultation with our senior AI engineers. We will analyze your document volumes and deliver a custom hardware & sizing blueprint.