Deploy Llama 4, DeepSeek-R1, Qwen3, and other cutting-edge models on YOUR infrastructure. Complete data control with ZERO cloud dependency. Enterprise-grade AI without the privacy risks.
Solve critical data privacy challenges
✓ 100% on-premise deployment keeps all data within your infrastructure
✓ One-time investment eliminates recurring API bills and usage anxiety
✓ HIPAA, GDPR, SOC 2 compliant with full audit trails and documentation
✓ Own your AI infrastructure completely - no dependency on external providers
Complete control over your data with enterprise-grade AI capabilities
Your data never leaves your infrastructure. Full sovereignty and compliance with data protection regulations.
On-premise deployment ensures zero risk of data exposure to third-party AI providers.
Tailored deployment on your servers, cloud, or hybrid environment with full control.
Eliminate recurring API costs with one-time deployment. Pay once, use forever.
Optimized models fine-tuned for your specific use cases and performance requirements.
90-day implementation with ongoing maintenance and optimization support.
Privacy-first AI for regulated industries
Healthcare: HIPAA-compliant medical record analysis and patient data processing
Finance: Confidential financial document analysis and fraud detection
Legal: Secure contract review and legal research without data exposure
Government: Classified document processing with national security compliance
Enterprise: Internal knowledge bases and proprietary data analysis
Manufacturing: Confidential design and IP protection with AI capabilities
Comprehensive implementation from architecture to deployment
Latest open-source models for every use case
GPU infrastructure by model size
Gemma 3, Qwen3 0.5B-8B, DeepCoder 1B
GPU
1x NVIDIA RTX 4090 24GB or T4
RAM
32GB system RAM
Storage
256GB NVMe SSD
⚡ ~80-120 tokens/sec
💰 Budget-friendly, CPU deployment possible
Qwen3-Coder 32B, Llama 4 8B, DeepSeek-R1 7B
GPU
1x NVIDIA A100 40GB or L40S
RAM
64GB system RAM
Storage
512GB NVMe SSD
⚡ ~40-60 tokens/sec
💰 Balanced performance & cost
Llama 4 405B, DeepSeek-R1 70B, Qwen3 72B
GPU
4-8x NVIDIA H100 80GB
RAM
256GB+ system RAM
Storage
2TB NVMe SSD
⚡ ~15-30 tokens/sec
💰 Maximum capability & accuracy
Mix of specialized models (coding + reasoning + chat)
GPU
2-4x NVIDIA A100 80GB
RAM
128GB system RAM
Storage
1TB NVMe SSD
⚡ Varies by model routing
💰 Optimized for diverse workloads
Don't have hardware? We can deploy on your existing cloud (AWS/Azure/GCP) in a private VPC, or help procure the right infrastructure.
Our proven 90-day implementation process
Infrastructure assessment, use case analysis, model selection (Llama 4, DeepSeek-R1, Qwen3, etc.), and architecture design
Deliverables:
Set up GPU infrastructure, deploy Ollama/vLLM, configure selected models, implement security hardening
Deliverables:
Fine-tune models on your data, optimize with quantization (INT4/INT8), develop OpenAI-compatible APIs
Deliverables:
Load testing, accuracy validation, Prometheus/Grafana setup, team training, full documentation
Deliverables:
Transparent pricing by model size with full hardware, implementation, and ongoing cost comparison
| Model Size | Example Models | Hardware (GPU) | HW Cost | Implementation | Total (1-Time) | Cloud API (Annual) | Break-Even |
|---|---|---|---|---|---|---|---|
Small 0.5B - 8B | Gemma 3 2B Qwen3 8B DeepCoder 1B | 1x RTX 5090 24GB or RTX 4090 | $1,999 | Setup: $8K Consulting: $5K Fine-tuning: $7K | $22K | $36K/year (3M tokens/mo) | 7 months |
Medium 13B - 32B | Qwen3-Coder 32B Llama 4 8B DeepSeek-R1 7B | 1x A100 80GB or L40S 48GB | $8,999 | Setup: $12K Consulting: $8K Fine-tuning: $10K | $39K | $84K/year (7M tokens/mo) | 6 months |
Large 70B | DeepSeek-R1 70B Qwen3 72B Llama 4 70B | 4x A100 80GB or 2x H100 80GB | $35,996 | Setup: $15K Consulting: $12K Fine-tuning: $18K | $81K | $180K/year (15M tokens/mo) | 5 months |
Enterprise 405B | Llama 4 405B (Claude 3.5 Sonnet equivalent) | 8x H100 80GB Flagship deployment | $239,992 | Setup: $25K Consulting: $20K Fine-tuning: $30K | $315K | $450K/year (30M tokens/mo) | 8 months |
Ollama/vLLM deployment, security hardening, API setup
Architecture design, model selection, optimization
Custom training on your data, quantization, benchmarking
See the difference in data privacy, costs, and control
| Feature | Privacy-First (On-Premise) | Cloud AI APIs |
|---|---|---|
| Data Privacy | ✓ Complete control - data never leaves your infrastructure | Data sent to third-party servers (OpenAI, Anthropic, etc.) |
| Initial Investment | $22K-$315K (one-time, includes hardware) | ✓ $0 upfront |
| Annual Cost (Medium) | ✓ $0 recurring (after deployment) | $84K/year (7M tokens/month) |
| 3-Year Total Cost | ✓ $39K one-time (Medium model example) | $252K over 3 years |
| Break-Even Timeline | ✓ 5-8 months depending on model size | Never (ongoing costs) |
| Compliance | ✓ Full HIPAA/GDPR/SOC 2/ISO 27001 | Shared responsibility model |
| Model Selection | ✓ Llama 4, DeepSeek-R1, Qwen3, any open-source | Limited to provider models |
| Customization | ✓ Full fine-tuning on your data, quantization | Limited to prompt engineering |
| Latency | ✓ Local deployment - ultra-fast (<50ms) | Internet + API latency (200-500ms) |
| Usage Limits | ✓ Unlimited - no throttling | Rate limits, quotas, potential downtime |
| Initial Setup Time | 90-120 days with our team | ✓ Immediate (API key) |
| Maintenance | Your team (60-180 days support included) | ✓ Provider managed |
One-time investment, lifetime ownership
0.5B - 8B Parameters
13B - 32B Parameters
70B Parameters
405B Parameters
We make it easy to get started with confidence
Start with a proof-of-concept deployment to validate the approach before full commitment
From $10,000 | 30 days
Get a detailed cost comparison of on-premise vs cloud AI for your specific use case
No commitment | Instant results
Pay as we deliver with clear milestones and deliverables at each stage
Transparent | Performance-based
⚡ Limited Availability: We take on only 2 implementation projects per quarter to ensure quality
Everything you need to know about privacy-first AI
Cloud APIs require sending your data to external servers with ongoing costs. Our solution deploys AI models entirely on your infrastructure - your data never leaves, you pay once instead of recurring fees, and you own the system completely. Perfect for regulated industries or sensitive data.
We provide complete hardware recommendations and can help procure the right setup. Alternatively, we can deploy on your existing cloud infrastructure (AWS, Azure, GCP) in a private VPC, or use CPU-optimized models for lower volume use cases. Our team handles all infrastructure setup.
We fine-tune models specifically on your domain data and use cases. This includes extensive testing, benchmarking against your requirements, and iterative optimization. You get performance metrics, test results, and ongoing monitoring dashboards to ensure quality.
You receive complete ownership of the system with full documentation, trained team members, and monitoring tools. We provide post-deployment support (30-90 days depending on tier), and optional ongoing maintenance contracts. The system is yours to run independently.
Absolutely! We offer proof-of-concept (POC) deployments starting at $10,000 for 30 days. This includes limited model deployment, specific use case testing, and a feasibility report. Perfect for validating the approach before full investment.
Most clients break even in 6-18 months compared to API costs. For example, processing 10M tokens/month would cost ~$100K/year with APIs. Our $50K solution pays for itself in 6 months, then it's pure savings. High-volume users see even faster ROI.
We deploy latest open-source models including Llama 4 (up to 405B), DeepSeek-R1 (reasoning specialist), Qwen3 (multilingual), Qwen3-Coder (92 programming languages), Gemma 3 (Google), DeepCoder, and GPT-OSS. All models are deployed via Ollama or custom infrastructure. We help select the best model(s) based on your requirements: accuracy, speed, budget, and specialized tasks (coding, reasoning, multilingual, etc.).
Our Standard tier ($30K) works well for growing businesses with consistent AI needs. If you're spending $3K+/month on AI APIs or have strict data privacy requirements, you'll see ROI. For smaller needs, we can recommend cost-effective cloud solutions first.
Schedule a free 30-minute consultation with our AI specialists
Get complete control of your AI infrastructure with our proven 90-day implementation.
