Enterprise LLM API

“I’m Mark, an AI architect securing enterprise data with private LLMs. Janction helps me deploy compliant, high-performance AI—without cloud risks or high costs.”

🏢 I’m Mark Anderson, a 42-year-old Chief AI Architect at SecureMind Analytics in London. My company provides secure, on-premise AI solutions for finance, healthcare, and government organizations—industries where data privacy, compliance, and security are non-negotiable. We need powerful LLMs, but using OpenAI or Google APIs is out of the question due to strict regulations and rising API costs.

💻 My problem?

Building private, self-hosted LLM APIs is a challenge. Training and fine-tuning models like Llama 3 or Mistral require massive GPU resources, and running real-time inference workloads puts even high-end H100 clusters under strain. At the same time, compliance with GDPR, HIPAA, and financial regulations means we can’t use public AI services. We also need blockchain-backed AI verification to ensure our AI-generated outputs are tamper-proof and auditable.

🚀 That’s why I use Janction.

Janction’s on-demand GPU pool gives me the compute power I need, when I need it, without investing in expensive in-house hardware. I can fine-tune and deploy private LLMs securely, optimize inference at scale, and integrate blockchain verification—all while ensuring full control over our enterprise data.

💡 What I love about Janction:

✅ Secure & private AI hosting – My models run on-premise, fully compliant with GDPR, HIPAA, and financial regulations.

✅ Cost-effective LLM inference – No more high per-API costs from OpenAI or Anthropic.

✅ High-throughput GPU access – I can scale enterprise-grade LLM workloads without bottlenecks.

✅ Blockchain-backed AI integrity – Ensures tamper-proof and auditable AI-generated responses.

✅ Customizable fine-tuning – I can train models on internal datasets for domain-specific optimization.

🔐 Now, I can focus on delivering enterprise AI solutions with confidence. Thanks to Janction, my team builds secure, high-performance LLM APIs without cloud dependencies, compliance risks, or hardware constraints—powering the future of private AI.