Safeguard your data
Empower Your Business with Enterprise-Grade AI — Deployed Where You Control It
Professional Large Language Models installed on-premises or in your private cloud. Full data privacy, complete sovereignty, maximum security.
What Is a Locally Installed LLM?
The Modern Business Challenge
Artificial Intelligence is transforming how organizations operate — from customer service automation to document analysis, code generation, and business intelligence. But most enterprises face a critical dilemma: they want AI's power without compromising their data, security, or compliance.
A locally installed Large Language Model (LLM) changes everything
A locally installed LLM is an enterprise-grade artificial intelligence system deployed directly within your infrastructure — on your servers, in your private cloud, or behind your corporate firewall. Unlike cloud-based AI services that require sending sensitive data to third-party providers, local deployment keeps all your data, processing, and insights entirely under your control.
Think of it as having the most advanced AI brain working for you, 24/7, without any data ever leaving your secure network.
Unmatched Data Privacy & Security
When you deploy an LLM locally, you eliminate several critical risks:
- No Data Egress: Your proprietary information never leaves your infrastructure
- Zero Third-Party Risk: No data is stored or processed by external AI vendors
- Complete Compliance Control: Meet POPI, GDPR, HIPAA, PCI-DSS, and industry-specific requirements
- Custom Security Protocols: Implement your organization's specific security standards
- Audit Trail: Full visibility into every interaction and processing event
In plain English...
When you deploy an LLM locally, you are actually running your own AI, within your own network!
The type of AI depends on your needs. Whether you need a reasoning/analytical LLM, content generation, image generation, video generation, AI agents or anything else related, we can help you with all of this!
The best part is it sits on your network and uses your network security. This means you can get the benefits of AI, without your data ever leaving your local network.
Your Data, Your Rules
Local LLM deployment means you own the entire AI stack:
┌─────────────────────────────────────┐
│ YOUR INFRASTRUCTURE │
├─────────────────────────────────────┤
│ • Private Servers / GPU Cluster │
│ • Internal Data Lake │
│ • Corporate Network │
│ • Your Security Policies │
└─────────────────────────────────────┘
▼
┌─────────────────────────────────────┐
│ ENTERPRISE LLM MODEL │
│ • Process data in-place │
│ • Generate responses locally │
│ • Never transmit to external │
│ vendors or cloud providers │
└─────────────────────────────────────┘
Industry-Leading Model Selection
We deploy proven, high-performance LLMs tailored for enterprise:
- General Purpose Models: For broad business applications
- Specialized Models: Industry-specific fine-tuned models (legal, finance, healthcare)
- Small-to-Medium Models: Optimized for latency-sensitive deployments
- Large Context Windows: Process entire documents, contracts, and reports in single passes
Advantages of Local LLM Deployment
Total Data Sovereignty
Your data never crosses network boundaries or enters third-party systems. Critical for regulated industries handling PII, PHI, financial records, or intellectual property.
Eliminate Vendor Lock-In
Build your own AI capabilities rather than depending on external API pricing, availability, and terms of service that can change overnight.
Latency Optimization
Deploy models close to the point of use — reducing response times from seconds to milliseconds for real-time applications like customer support chatbots or code assistants.
Cost Control Over Time
While initial deployment requires infrastructure investment, local LLMs eliminate recurring API costs that can exceed R100,000-R500,000+ monthly for high-volume use cases.
Offline Capability
Operate even during internet outages. Your AI applications continue functioning independently of external connectivity.
Custom Fine-Tuning
Train models on your organization's specific domain data to achieve superior accuracy and relevance in your business context.
Problems Local LLMs Solve
The Cloud API Dilemma
Most enterprises today face these frustrating limitations with cloud-based AI:
Challenge | Cloud API Approach | Local LLM Solution |
Data Privacy | Data leaves your network every request | Zero data egress |
Compliance Risk | Third-party jurisdiction unknown | Your compliance standards apply |
Cost Scalability | $0.01-$0.10 per token, cumulative | Fixed infrastructure cost |
Availability | External API downtime affects you | Independent of cloud status |
Latency | Network round-trip required | Local processing |
Context Limits | API token windows restrict usage | Configurable based on needs |
Data Retention | Vendor may retain processed data | Complete deletion guarantee |
Industry-Specific Solutions
For Legal & Financial Services
- Handle sensitive client documents without any risk of PII exposure
- Meet SEC, FINRA, or legal practice rules about attorney-client privilege
- Deploy within air-gapped networks for maximum security
For Manufacturing & Industrial
- Process proprietary product designs and trade secrets
- Implement AI in IoT environments with local compute resources
- Maintain uptime for critical production monitoring systems
For Healthcare Providers
- POPI-compliant deployments without third-party data sharing
- Process medical records, research, and patient communications securely
- Fine-tune on healthcare terminology for superior clinical accuracy
For E-commerce Retailers
- Deploy on existing cloud infrastructure or private servers
- Avoid exposing customer purchase history to external vendors
- Build competitive advantage with unique, customized AI capabilities
Business Use Cases
Customer Service Excellence
Deploy intelligent support agents that understand your products, answer complex queries, and reference internal documentation — all without transmitting customer conversations.
Custom built agents
We can build and train custom design a small army of Robo assistants on top of your locall LLM to assist with everyday work tasks. From anaylsis to deep research and report creation, your LLM agents can get it all done.
Document Processing & Analysis
Automatically extract information from invoices, contracts, applications, and reports with enterprise-grade accuracy while keeping documents secure.
Code Development Assistance
Enable developer tools with local LLMs that can suggest code, debug errors, and generate documentation — processing internal codebases without exposing them to external AI services.
Business Intelligence & Insights
Transform raw data into actionable insights using advanced natural language interfaces that query your databases securely.
Knowledge Management
Build organizational memory systems that index company documents, policies, and processes — creating instant retrieval capabilities while maintaining confidentiality.
Deployment Options
Enterprise-Grade Solutions Tailored to Your Needs
On-Premises Hardware Deployment
Install our pre-configured LLM solutions on your existing hardware or new dedicated servers. Complete autonomy, maximum control.
Best for: Regulated industries (finance, healthcare), high-security requirements, organizations with strict data residency needs.
Private Cloud / VPS Deployment
Deploy within your private cloud infrastructure (AWS VPS, Azure Virtual Network, GCP VPS). Seamless integration with existing cloud resources.
Best for: Organizations already invested in private clouds needing isolation from public internet services.
Hybrid Edge Deployment
Distribute AI capabilities across edge locations and headquarters. Process data locally while synchronizing learnings securely where needed.
Best for: Distributed organizations, multi-site operations requiring consistent AI experiences everywhere.
Technical Specifications
Our Deployed Model Families
General Purpose Enterprise Models
- Optimal balance of performance and efficiency
- 30B parameter variants available
- Handles broad business applications effectively
- Lower resource requirements for cost-effective deployment
Large Context & Capability Models
- Advanced reasoning and complex task handling
- Extended context windows (up to 1M tokens)
- Suitable for document analysis and RAG systems
- Ideal for enterprise knowledge bases
Supported Hardware Configurations
- NVIDIA RTX GPUs for small-to-medium deployments
- Multi-GPU server clusters for larger workloads
- Cloud GPU instances for flexible scaling
- Pre-configured bare-metal solutions
Integration Capabilities
- REST API endpoints for seamless application integration
- gRPC for high-performance internal systems
- WebSocket support for real-time applications
- Standard authentication (OAuth2, API keys, SSO)
- Containerized deployment (Docker, Kubernetes)
Our Service Approach
End-to-End Deployment Support
-
We don't just deliver a model — we handle the entire implementation lifecycle:
- Requirements Assessment: Understand your business needs and data sensitivity levels
- Architecture Design: Create deployment architecture tailored to your infrastructure
- Model Selection: Recommend appropriate models for your workload requirements
- Secure Deployment: Deploy with hardened security configurations
- Integration Support: Assist with API integration into your applications
- Training & Documentation: Provide comprehensive training and operational guides
- Ongoing Support: Maintain performance and address issues promptly
Implementation Timeline
Typical deployment timeline:
Week 1: Requirements gathering and architecture design
Week 2: Hardware preparation or environment provisioning
Week 3: Model download, configuration, initial deployment
Week 4: Integration, testing, security hardening, handover
Note: For complex enterprise deployments with custom integration needs, timelines vary based on scope.
Security & Compliance Features
Our Deployed Model Families
Enterprise Security by Design
Our deployments include:
- ✅ Network Isolation: Configured to operate within your network perimeter
- ✅ Access Controls: Role-based access control (RBAC) integration support
- ✅ Encryption: TLS for data in transit, configurable encryption at rest
- ✅ Audit Logging: Comprehensive logging of all AI interactions
- ✅ Rate Limiting: Prevent misuse and protect against abuse
- ✅ Content Filtering: Configurable safety guidelines and content policies
Compliance Considerations
We support compliance with major frameworks:
- POPI (SA data protection)
- GDPR (EU data protection)
- HIPAA (US healthcare)
- SOC 2 Type II readiness
- ISO 27001 alignment
- Industry-specific regulations
Pricing & Investment
Transparent, Predictable Cost Structure
Unlike cloud API pricing that scales with your usage and can become unpredictable, local LLM deployment offers predictable infrastructure costs.
Upfront Investment:
- Model licensing fees (often free, otherwise one-time or term-based)
- Hardware/software licenses (based on configuration)
- Professional services (deployment, training, integration)
Ongoing Costs:
- Infrastructure electricity and cooling
- Hardware maintenance and upgrades (typically every year)
- Optional managed services for monitoring, maintenance and updates
Typical TCO Comparison for High-Volume Use Cases:
- Cloud API: R50,000-R150,000+ per month at scale
- Local Deployment: R100,000-R250,000 one-time + infrastructure costs
- Payback period: Typically 6-24 months for high-volume deployments
Latest news
What models do you support?
We offer a range of open-source enterprise-grade LLMs optimized for business applications, including general-purpose models for broad use cases and specialized models fine-tuned for specific industries. We also provide access to proprietary models upon request.
How much GPU memory is required?
This depends on the model size. A 7B parameter model typically requires 12-16GB of VRAM per instance. Larger models (e.g., 30B+) may require multiple GPUs or specialized hardware. We help you right-size your deployment based on expected load.
Can I use my existing hardware?
Yes! Many organizations can deploy local LLMs on existing GPU servers or upgrade to more powerful hardware as needed. We provide hardware recommendations for optimal performance.
How do I integrate the API into my applications?
We provide standard REST/gRPC API interfaces with comprehensive documentation. Integration is typically straightforward — similar to calling any cloud AI service, except all processing happens locally within your infrastructure.
What about model updates and improvements?
Model updates can be performed as needed — we can help schedule maintenance windows or provide rolling update procedures for minimal downtime. Assuming you are on one of our maintenance plans.
Do you offer support contracts?
Yes. We offer various support packages ranging from basic email support to premium 24/7 enterprise support with dedicated success managers.
What about model licensing?
Licensing terms depend on the specific model and deployment scale. For most open-source models, there are no licensing fees. For proprietary or specialized models, we negotiate enterprise licensing agreements tailored to your needs.
Get Started
Ready to Deploy Enterprise-Grade AI?
Contact our team today for a confidential consultation about local LLM deployment for your organization.
What We Can Help You With:
✅ Technology assessment and architecture design
✅ Hardware recommendations and procurement guidance
✅ Deployment planning and project management
✅ API development and integration support
✅ Security hardening and compliance consulting
✅ Staff training and knowledge transfer