Custom LLM Provider, LLM.co, Offers Customized, Private LLM-as-a-Service Offering for Enterprises Needing Private AI

LLM.co introduces enterprise-grade private LLM-as-a-Service, giving organizations secure, compliant, and fully customizable AI.

SEATTLE, WA, UNITED STATES, August 21, 2025 /EINPresswire.com/ -- LLM, a leader in enterprise AI solutions, today announced the launch of its fully customized, private LLM-as-a-Service (LLMaaS) offering, designed for organizations that need the power of large language models without sacrificing security, compliance, or brand integrity.

As enterprises grapple with the risks of public AI models—data leakage, compliance failures, and lack of control—LLM.co delivers a trusted alternative. Its solution allows organizations to deploy private large language models on-premises or within their preferred cloud, ensuring full ownership of data, adherence to SOC 2, HIPAA, and GDPR standards, and the ability to tailor models for industry-specific use cases.

“Enterprises shouldn’t have to choose between powerful AI and protecting their data,” said Nate Nead, CEO of LLM.co. “Our private LLM-as-a-Service gives organizations full control—deployment where they want it, training on their own data, and governance that aligns with SOC 2, HIPAA, and GDPR requirements—so they can innovate without compromise.”

The LLM.co platform is built for scalability, offering modular integrations with enterprise systems, support for retrieval-augmented generation (RAG) pipelines, and advanced monitoring to keep AI performance aligned with business outcomes.

“Executives are done with AI science projects. They want secure outcomes: faster workflows, better customer experiences, and measurable ROI,” said Timothy Carter, Chief Revenue Officer of LLM.co. “We package the stack—model, retrieval, orchestration, and monitoring—into a production-ready service with clear SLAs so teams can go from pilot to value in weeks, not quarters.”

With demand for AI accelerating in regulated industries like legal, healthcare, and financial services, LLM.co emphasizes trust and brand consistency.

“Brand trust is a data problem. When your models run in a private environment and learn from your vetted knowledge, every answer reflects your voice, your facts, and your compliance posture,” said Samuel Edwards, Chief Marketing Officer of LLM.co. “That’s how enterprises scale AI confidently—without risking leakage, hallucinations, or off-brand outputs.”

Built with enterprise sales cycles in mind, LLM.co’s architecture offers deployment flexibility and integration ease.

“Every buyer’s environment is different—some need on-prem for data residency, others want cloud isolation with strong guardrails,” said Eric Lamanna, VP of Sales at LLM.co. “Our modular architecture meets customers where they are: integrate with existing IDP, plug into current data lakes and vector stores, and layer in retrieval so teams see lower TCO and faster adoption.”

About LLM

LLM.co provides customized, private large language model solutions for enterprises in regulated and data-sensitive industries. Founded by the team at DEV, the firm focuses on compliance, security, and adaptability. LLM. empowers organizations to deploy AI in a way that aligns with their operational, legal, and brand requirements. From healthcare and finance to legal and technology, LLM.co helps enterprises unlock the full potential of AI—without compromise.

Samuel Edwards
LLM
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