Privacy-First AI Development
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.
Why Privacy-First AI?
Solve critical data privacy challenges
Why Choose BiltIQ AI?
Expert privacy-first AI implementation
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.
Industry Use Cases
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
What We Deliver
Comprehensive implementation from architecture to deployment
Supported LLM Models
Latest open-source models for every use case
Hardware Requirements
GPU infrastructure by model size
Gemma 3, Qwen3 0.5B-8B, DeepCoder 1B
Qwen3-Coder 32B, Llama 4 8B, DeepSeek-R1 7B
Llama 4 405B, DeepSeek-R1 70B, Qwen3 72B
Mix of specialized models (coding + reasoning + chat)
Don't have hardware? We can deploy on your existing cloud (AWS/Azure/GCP) in a private VPC, or help procure the right infrastructure.
How It Works
Our proven 90-day implementation process
Infrastructure assessment, use case analysis, model selection (Llama 4, DeepSeek-R1, Qwen3, etc.), and architecture design
Set up GPU infrastructure, deploy Ollama/vLLM, configure selected models, implement security hardening
Fine-tune models on your data, optimize with quantization (INT4/INT8), develop OpenAI-compatible APIs
Load testing, accuracy validation, Prometheus/Grafana setup, team training, full documentation
Cost Breakdown & ROI Analysis
Transparent pricing by model size with full hardware, implementation, and ongoing cost comparison
3-Year Total Cost of Ownership (Medium Model Example)
On-Premise vs Cloud AI
See the difference in data privacy, costs, and control
Transparent Pricing
One-time investment, lifetime ownership
Risk-Free Start
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
Frequently Asked Questions
Everything you need to know about privacy-first AI
How is this different from using OpenAI, Claude, or other AI APIs?
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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.
What if we don't have GPU infrastructure?
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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.
How do you ensure model accuracy and performance?
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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.
What happens after the 90-120 day implementation?
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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.
Can we start with a pilot project first?
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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.
What's the typical ROI timeline?
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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.
Which LLM models do you support?
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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.).
Is this suitable for small businesses?
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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.
Still have questions?
Schedule a free 30-minute consultation with our AI specialists
Ready to Deploy Privacy-First AI?
Start Building Today.
Get complete control of your AI infrastructure with our proven 90-day implementation.