Enterprise AI.
Your Infrastructure. Your Data.
Deploy on-premise RAG pipelines powered by any LLM — directly on your servers. Your data never leaves your environment. Ever.
Why Standard AI Fails Enterprise
Most AI solutions require sending data to external servers. For enterprises, that's an unacceptable risk.
Data Leaves Your Perimeter
Every API call to external AI providers sends your proprietary data to third-party servers — a compliance nightmare.
Generic AI, Zero Context
Public models don't understand your business data, documents, or internal knowledge. Answers are shallow and unreliable.
No Control Over Stack
You can't control the model version, uptime, infrastructure, or update cadence. Your AI is someone else's decision.
On-Premise RAG That Runs on Your Servers
Swipies AI deploys the full AI infrastructure inside your environment. Complete data sovereignty, zero external dependencies.
On-Premise RAG Deployment
Full RAG pipeline — document ingestion, vector indexing, retrieval, and generation — deployed directly on your servers. Built on battle-tested RAGFlow architecture.
Works With Your Data
Connect your existing documents, databases, CRM records, and internal tools. The knowledge base is built from your real data — not generic training sets.
Any LLM, Your Choice
Support for OpenAI, Anthropic Claude, xAI Grok, and fully local models via Ollama. Switch models without changing infrastructure.
Full White-Label for SaaS
Embed Swipies AI into your own product under your brand. Offer AI-powered features to your clients — powered by their data, on your infrastructure.
Deployed in 10 Business Days
From first call to production AI — we handle everything.
Infrastructure Audit
We audit your servers, data sources, and security requirements to design the optimal deployment architecture.
Deploy RAG + LLM
We deploy the full RAG pipeline and LLM of your choice directly on your infrastructure. Within 10 business days.
Your Team Goes Live
Your team and clients get enterprise-grade AI — fully private, fully controlled, fully yours. Data stays with you.
Built for Industries That Can't Compromise on Data
Embed AI Into Your Product
White-label Swipies AI and offer AI-powered features to your own clients. OEM model — your brand, your infrastructure, your clients' data stays private.
AI on Confidential Data
Deploy AI over transaction records, client profiles, and financial documents. Full regulatory compliance — data never leaves your banking infrastructure.
AI Over Case Files & Contracts
Search, summarize, and analyze case law, contracts, and compliance documents with AI that runs entirely within your secure environment.
Internal Knowledge Base AI
Give every employee instant access to company documentation, HR policies, technical manuals, and institutional knowledge via private AI.
Partners & Supported Providers
Flexible Deployment Options
Whether you need a dedicated instance on our servers or full on-premise control.
Starter
For small teams & companies
Full AI functionality running securely on Swipies managed cloud infrastructure.
- ✓ Cloud deployment
- ✓ Full RAG pipeline
- ✓ Standard support
- ✓ Managed infrastructure
Enterprise
Starting from
Custom-scoped based on your infrastructure and data volume requirements.
- ✓ On-premise deployment
- ✓ Custom LLM config
- ✓ Dedicated support
- ✓ White-label option
- ✓ SLA guarantee
- ✓ Data sovereignty
Frequently Asked Questions
No, never. Swipies AI is deployed entirely on your own infrastructure. Your documents, databases, and queries stay within your environment. No data is sent to any external servers or third-party APIs.
Typical deployment takes 10 business days from kick-off. This includes infrastructure audit, RAG pipeline setup, LLM configuration, testing, and going live with your team.
We support OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3, Claude 3.5), xAI (Grok), and fully local models via Ollama. You can switch models at any time without re-deploying the infrastructure.
Yes. SaaS and ERP companies can embed Swipies AI under their own brand. Your clients interact with AI that feels native to your product — while all data stays on your servers.
RAG (Retrieval-Augmented Generation) is a technique where AI retrieves relevant information from your specific data before generating an answer. Unlike generic AI, RAG ensures responses are grounded in your actual documents and knowledge — making it accurate, relevant, and trustworthy for enterprise use.
Let's Talk About Your Deployment
Book a demo or tell us about your requirements.
Contact Information
albakiev.sardobek@gmail.com
Phone
+998 (90) 625-3986
Location
Uzbekistan, Andijan
Enterprise Support
Dedicated account manager for every deployment. SLA guarantees included.
Average response time: < 2 hours