Bentonville, Arkansas Sep 2, 2025 (Issuewire.com) - LLM.co, a leader in secure and private large language model deployment, today announced the official release of its Custom LLM Development Services, developed in collaboration with software engineering firm DEV.co. The new offering allows enterprises to build, train, and deploy tailored LLMs that are context-aware, privacy-first, and production-ready for real-world use.
Were moving from one-size-fits-all AI to purpose-built intelligence, said Nate Nead, CEO of LLM.co. Our partnership with DEV.co enables businesses to build LLMs that are not just smarterbut contextually aware, private, and optimized for deployment in secure environments.
As organizations increase their reliance on artificial intelligence, off-the-shelf public models often fail to meet the nuanced needs of heavily regulated industries such as law, finance, healthcare, and manufacturing. These sectors require LLMs that understand internal workflows, industry-specific terminology, and sensitive dataall while maintaining strict compliance with frameworks like SOC 2, HIPAA, GDPR, and CCPA.
LLM.cos new custom services aim to fill this gap by delivering end-to-end support for enterprise AI adoption, from dataset ingestion and architecture design to on-prem deployment and UI integration.
Every vertical has its own language, said Eric Lamanna, VP of Business Development at DEV.co. Our role is to ensure the model speaks it fluentlyand securelyby weaving the clients proprietary data into every layer of training and deployment.
What the Service Includes
LLM.cos Custom LLM Development Services provide organizations with a full-stack AI solution that includes:
Model Training & Fine-Tuning
On popular open-source architectures like Mistral, LLaMA, Phi-3, and Mixtral, using private datasets (contracts, PDFs, SQL, APIs, CRMs, and more)
RAG Pipelines
Retrieval-augmented generation leveraging vector databases like QDrant, Pinecone, or Weaviate for real-time, grounded responses
Private & On-Prem Deployment
Air-gapped boxes and hybrid cloud setups for full control over data access, latency, and compliance
Evaluation & Alignment
Output testing with tools like HELM, TruthfulQA, and LLM-as-a-Judge for benchmark performance and hallucination mitigation
Custom Interfaces & App Integration
Seamless front-end interfaces and dashboard integrations for both internal teams and end users
The enterprises we work with arent just experimentingtheyre operationalizing AI, said Samuel Edwards, CMO of LLM.co. Our platform gives them the flexibility to deploy LLMs with the same confidence they have in their internal systems.
Built for High-Stakes Use Cases
LLM.cos custom LLM solutions are ideal for businesses that require high levels of precision, security, and control. Use cases include:
Legal firms training models on internal case law and contract templates
Financial institutions building compliant AI advisors and document reviewers
Healthcare systems processing PHI-compliant summarizations and medical notes
Industrial enterprises building copilots for manufacturing, logistics, and maintenance workflows
With DEV.cos engineering horsepower and LLM.cos domain-specific AI frameworks, the combined offering brings security, scalability, and semantic depth to every layer of enterprise AI.
About LLM.co
LLM.co is a provider of secure, private, and enterprise-ready large language model solutions. From custom training to on-prem deployment, LLM.co helps organizations operationalize AI in a way that is safe, compliant, and aligned with real business outcomes.
About DEV.co
DEV.co provides custom software development services, specializing in AI development, machine learning, and scalable enterprise applications. With engineering teams in the U.S., Europe, and Asia, DEV.co builds advanced solutions for startups, Fortune 500 companies, and government institutions.
Source :LLM.co
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