New system allows enterprises to keep sensitive data on-premise while leveraging cloud-scale inference — delivering HIPAA, FINRA, and GDPR compliance without sacrificing speed or cost efficiency.
-- LLM.co, a leader in private and hybrid large language model infrastructure, today announced the launch of its Hybrid AI Infrastructure — a next-generation system designed for regulated industries that need to balance compliance and innovation.
The new hybrid architecture enables enterprises to store and process sensitive data locally, within their own secured environments, while routing non-sensitive inference workloads to the cloud. The result is an AI infrastructure that offers both regulatory assurance and scalable performance — at up to 70% lower cost than traditional on-prem solutions.
“Enterprises shouldn’t have to choose between compliance and innovation,” said Nate Nead, CEO of LLM.co. “Our hybrid AI infrastructure brings both worlds together — keeping the most sensitive data safely behind your firewall, while allowing the cloud to handle everything else efficiently. It’s the balance the enterprise AI world has been waiting for.”
Bridging the Gap Between Privacy and Performance
Until now, organizations in industries like healthcare, finance, and law have faced a difficult trade-off. Cloud-hosted AI tools often risk data leakage, vendor lock-in, and compliance violations, while fully on-prem deployments demand high hardware costs and complex maintenance.
LLM.co’s hybrid system bridges that divide through a dual-tier architecture:
- On-Prem Sensitive Data Tier: All proprietary or regulated data remains on the enterprise network under existing security, audit, and compliance frameworks.
- Cloud Inference Tier: Non-sensitive, anonymized requests are sent to the cloud for fast inference and large-scale computation.
- Federated Controller: A unified orchestration layer governs encryption, data routing, and audit trails to maintain continuous regulatory compliance.
This configuration gives CIOs and compliance officers fine-grained control over where and how data is processed, without slowing model performance or innovation cycles.
“This system was built from the ground up for real-world enterprise complexity,” said Eric Lamanna, VP of Sales at LLM.co. “We’re giving CIOs fine-grained control over data flow, encryption, and compute allocation — with full observability. You can run inference in the cloud and compliance on-prem, all under one unified architecture.”
Built for Regulated Enterprises
The Hybrid AI Infrastructure is designed to meet the strictest industry standards, including HIPAA, FINRA, and GDPR. It integrates with existing vector databases, retrieval-augmented generation (RAG) pipelines, and enterprise identity systems, making it fully compatible with the compliance stacks of large organizations.
LLM.co’s platform is also model-agnostic, supporting open-source and proprietary models such as Llama 3, Mistral, Claude, and GPT-family architectures. Enterprises can deploy, fine-tune, and manage models across environments while maintaining data residency control.
“Hybrid AI is the future of responsible innovation,” said Samuel Edwards, Chief Marketing Officer at LLM.co. “As more companies grapple with privacy, compliance, and cost pressures, our infrastructure gives them confidence that they can build smarter without breaking the rules.”
A New Standard for Responsible AI Adoption
The launch comes amid heightened scrutiny from global regulators and enterprise boards seeking clarity on AI governance and data ethics. LLM.co’s hybrid model directly addresses these concerns by ensuring that no sensitive data leaves the customer’s environment, while still delivering the computational benefits of cloud AI.
The company’s roadmap includes auditable compliance reporting, multi-region redundancy, and partner integrations with leading security and infrastructure vendors.
“We see this as more than an architecture — it’s a new standard for how enterprises will safely scale AI,” added Nead. “Regulated sectors like banking and healthcare have been waiting for this exact balance.”
Availability
The LLM.co Hybrid AI Infrastructure is now available for enterprise clients in healthcare, financial services, and legal sectors, with limited beta access expanding through Q4 2025. Organizations can request a compliance briefing or product demo at https://llm.co
About LLM.co
LLM.co provides private and hybrid large language model infrastructure for enterprises that demand full control over their data and AI systems. Built for regulated industries, LLM.co’s solutions combine on-premise security with cloud-scale performance, enabling organizations to deploy, fine-tune, and govern their own AI models with confidence. The company is part of the DEV network of technology and data brands.
About the company: LLM.co delivers private and hybrid large language model infrastructure for enterprises that require complete control over their data, security, and compliance. Built for regulated industries such as healthcare, finance, and law, LLM.co enables organizations to deploy, fine-tune, and operate their own AI models within secure, compliant environments—whether on-premise, in the cloud, or through a hybrid configuration.
Contact Info:
Name: Samuel Edwards
Email: Send Email
Organization: DEV
Website: https://dev.co
Release ID: 89172724
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