Run open-source LLMs on your own servers with HIPAA, SOC2, and GDPR compliance built in. Cut API costs by 60-80% and keep every byte of sensitive data in-house.
Your sensitive data is leaving the building every time someone uses a cloud AI provider.
Every prompt sent to ChatGPT, Claude, or any cloud AI service means your proprietary data — customer records, financial documents, legal files, medical records — is traveling across the internet to someone else's servers. For regulated industries, this is a compliance nightmare. For any business, it's a data privacy risk. And those recurring API costs? They scale unpredictably as usage grows, making budgeting impossible.
We deploy open-source LLMs (Llama 4, Mistral, DeepSeek) on your own hardware. Your data never leaves your network. No per-token billing. Predictable, fixed infrastructure costs that don't scale with usage.
We fine-tune the models on your proprietary data for domain-specific accuracy that generic cloud APIs can't match. The result: AI that knows your business inside and out, runs on your terms, and keeps your sensitive data exactly where it belongs — in-house.
From hardware assessment to production deployment in 4-6 weeks.
We evaluate your existing servers, GPU capabilities, storage, and networking to determine the optimal deployment configuration.
Based on your use cases and hardware, we select and install the best open-source models (Llama 4, Mistral, DeepSeek, or custom).
We fine-tune the selected models on your proprietary documents, data, and domain-specific knowledge for maximum accuracy.
We build an internal API gateway that mirrors cloud API interfaces, making it easy for your applications to integrate.
Rigorous testing against real use cases, performance benchmarking vs cloud APIs, and production deployment with monitoring.
Hardware setup, model training, compliance docs, and team training — deployed in 4-6 weeks.
Comprehensive evaluation of your existing infrastructure with upgrade recommendations if needed.
On-premise installation of Llama 4, Mistral, DeepSeek, or other open-source models optimized for your hardware.
Fine-tune models on your proprietary business data for domain-specific accuracy and relevance.
Internal API gateway so your applications can access the LLM just like cloud APIs — but on-premise.
Connect your existing data sources, documents, and workflows to the local LLM.
Head-to-head comparison against cloud APIs on your actual use cases to validate quality.
Complete compliance documentation package for HIPAA, SOC2, GDPR, and your specific regulatory needs.
Team training on model management plus an ongoing support plan for updates and optimization.
Industries where data privacy is non-negotiable and compliance is mandatory.
HIPAA-compliant AI that processes patient data, medical records, and clinical notes without any data leaving your facility.
Confidential document analysis, contract review, and legal research with attorney-client privilege fully protected.
SOC2-compliant AI for financial analysis, risk assessment, and customer data processing with zero external exposure.
On-premise AI that meets federal security requirements and handles classified or sensitive government data.
One-time investment · Deployed in 4–6 weeks
Everything Included
Hardware requirements, model options, compliance, and performance vs. cloud.
30 minutes. No pitch. We audit your operations and tell you exactly where to start.