LLM.co

What LLM.co does

LLM.co is a private enterprise software company that deploys and operates large language model (LLM) systems inside customer-controlled environments — on-premises, within the customer's own VPC, at the edge, or fully air-gapped. The company is purpose-built for regulated industries (legal, healthcare, financial services, government/defense, manufacturing, cybersecurity, real estate, retail) where sending data to third-party public LLM APIs is unacceptable due to attorney-client privilege, HIPAA, GDPR, SOC 2, FedRAMP, ITAR, or similar constraints. Its underlying platform wraps open-weight model families (LLaMA, Mistral, Qwen, DeepSeek, Gemma, Cohere, Falcon, GPT-J) and frontier models (OpenAI, Anthropic) into a unified control plane that supports retrieval-augmented generation (RAG) with self-hosted vector databases, custom fine-tuning (full, LoRA, QLoRA, PEFT), agentic multi-step workflow orchestration, PII/PHI redaction, immutable audit logging, role-based access control, and hybrid routing between private and frontier APIs. LLM.co is a wholly owned subsidiary of DEV.co, which has folded Automatic.co into the same umbrella to form a unified enterprise AI platform; the company operates from the US with an inferred base in Seattle, Washington (where its Open Source Model Download Hub launched in February 2026) and is governed under Utah terms of service.

The company monetizes exclusively through custom, engagement-scoped statements of work (SOWs) with no public pricing tiers. Revenue streams span professional services (discovery, data strategy, implementation, fine-tuning, audits aligned with HIPAA, SOC 2, GDPR, and model risk governance), managed deployment services (on-prem/VPC installation, LLM-as-a-Service managed inference in the customer's own cloud account, RAG implementation), subscription recurring support and maintenance, and hardware sales (pre-configured GPU appliances). An adjacent LLMO (Large Language Model Optimization) practice — covering prompt monitoring, prompt engineering, conversational SEO, object/entity optimization, synthetic anchor creation, corpus injection, and structured data markup — layers on top of the core deployment business. GTM is purely consultative direct enterprise sales through 'Book a Call' CTAs and engineering-led scoping calls; there is no self-serve, PLG, or channel partner motion. Two named executives appear on the leadership team: Samuel Edwards (CMO) and Timothy Carter (CRO). No disclosed revenue, headcount, funding rounds, or named customer logos are available.

Name

LLM.co

Legal name

LLM.co

Website

https://llm.co

Company type

Private

Operating status

Operating

Short description

LLM.co is a DEV.co subsidiary that deploys and operates private large language models — on-premises, in customer VPCs, at the edge, or fully air-gapped — for regulated enterprises in legal, healthcare, finance, government, manufacturing, cybersecurity, real estate, and retail, monetizing via custom SOW-based enterprise engagements.

Ownership category

akta.pro rank

Product category

Private LLM Deployment Platform

NAICS

Computer Systems Design and Related Services (5415), Computer Systems Design and Related Services (54151), Custom Computer Programming Services (541511), Computer Systems Design Services (541512), Computer Facilities Management Services (541513)

SIC

Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Programming Services (7371)

akta.pro primary industry

On-Device/Edge Foundation Models (Mobile/Embedded LLMs) (HDAAACAN)

akta.pro secondary industries

Remote Monitoring & Management (RMM) Services (BPAEABAA), Server Firmware, BMC & Remote Management (iDRAC/iLO/IPMI) (HDABADAL), Private Cloud Networking & SDN/NFV Management (HDABABAK)

Keywords

• Private LLM deployment
• Enterprise AI infrastructure
• Retrieval-augmented generation
• Agentic AI workflows
• Sovereign AI solutions

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Supply Chain, Operations

Revenue model

1. Consulting & Professional Services: Discovery, requirements gathering, data strategy, and implementation services. Engagements scoped through SOWs with defined deliverables, timelines, and fees.
2. Private LLM Deployment & Integration: Deployment, integration, and configuration of private LLM infrastructure. Includes on-prem, VPC, and hybrid deployments.
3. Model Fine-Tuning: Custom training of models using customer proprietary data for domain-specific performance.
4. LLM-as-a-Service (Managed Inference): Managed private inference in customer cloud account with operational support.
5. RAG & Retrieval Services: Retrieval-augmented generation implementation, document indexing, and knowledge base setup.
6. Audits & Compliance Reviews: LLM audits, compliance reviews aligned with HIPAA, SOC 2, GDPR, and model risk governance.
7. Custom Hardware Sales: Pre-configured GPU appliances sized to customer models and throughput requirements.
8. Ongoing Support & Maintenance: SLA-based support, model updates, and continuous optimization.

Pricing tiers

Go-to-market motion2 records

Distribution channels1 record

Marketing channels3 records

Core offering

LLM.co deploys and operates private, sovereign large language model platforms for regulated enterprises. The company installs open-weight and frontier models (LLaMA, Mistral, Qwen, DeepSeek, Cohere, Gemma, OpenAI, Anthropic) entirely within a customer's environment — on-prem, in a private VPC, in hybrid mode, or at the edge/air-gapped — and layers on retrieval-augmented generation (RAG), agentic workflow automation, fine-tuning, governance/audit logging, and pre-configured GPU hardware so that sensitive data never leaves the customer's perimeter.

Product overview

LLM.co is a private, secure, enterprise LLM deployment platform purpose-built for regulated industries. The core offering is the Private LLM Platform — a unified system spanning On-Prem & Private Deployment, RAG & Retrieval, LLM-as-a-Service, Hybrid LLM (routing sensitive workloads to private models and non-sensitive tasks to frontier APIs), Edge Deployment, Custom AI Agents (autonomous multi-step workflow execution), and Custom Hardware Appliances (pre-configured GPU systems). The platform also offers specialized industry sub-brands for Legal, Healthcare, Finance & Banking, Cybersecurity, Real Estate, Manufacturing & Industrial, and Retail & Ecommerce — each tailored to sector-specific compliance requirements and document workflows. Supporting the core deployment business, LLM.co provides a suite of LLMO (Large Language Model Optimization) marketing services including LLM Fine-Tuning, Prompt Engineering, Prompt Monitoring, Object Optimization, Synthetic Anchor Creation, Corpus Injection, Structured Data markup, and Conversational SEO — covering both public LLM brand visibility and private RAG pipeline optimization. All deployments enforce data sovereignty, audit logging, role-based access controls, and PII/PHI redaction, with active certifications for HIPAA, SOC 2 Type II, GDPR, and ISO 27001.

Differentiator

Problem solved

Functional benefit

Products and services

• Private LLM Platform Unified enterprise platform for securely deploying and operating large language models entirely within the customer's perimeter — on-prem, in a private VPC, in hybrid mode, or at the edge/air-gapped — with full audit logging, role-based access control, and data residency controls. Supports open-weight models (Llama, Mistral, Qwen, DeepSeek, Gemma, Cohere) and frontier models (OpenAI, Anthropic).
• On-Prem & Private Deployment On-premises and fully private LLM deployment within the customer's own data center. Runs open-weight models entirely within the perimeter with no data leaving the environment; supports air-gapped, offline, and isolated configurations.
• RAG & Retrieval Retrieval-augmented generation module that indexes and retrieves documents at query time so responses are grounded in customer sources with citations. Uses self-hosted vector databases (FAISS, Chroma) within the perimeter; reduces hallucination and ensures traceability to source documents for compliance and audit purposes.
• LLM-as-a-Service Managed private inference service running in the customer's own cloud account, providing the control of self-hosting without operational overhead. LLM.co handles infrastructure management while data remains within the customer's VPC.
• Hybrid LLM Hybrid deployment option that routes sensitive workloads to private models and non-sensitive tasks to frontier APIs (OpenAI, Anthropic) under a single governed control plane, enabling organizations to balance performance, cost, and data control.
• Edge Deployment Inference on local hardware for air-gapped, low-latency, and field environments with no connectivity. Suitable for defense, critical infrastructure, remote operations, and regulated manufacturing environments; models run on-site with no outbound network dependency.
• Custom AI Agents (AGT) Purpose-built agentic workflows that reason over customer data and autonomously execute multi-step tasks inside the enterprise stack. Agents retrieve documents, call internal APIs, evaluate conditions, and take actions across contract review, SOC alert triage, returns resolution, and compliance workflows; supports multi-agent orchestration.
• Custom Hardware Appliances Pre-configured GPU hardware appliances spec'd, built, and installed by LLM.co, sized to the customer's models and throughput requirements. Delivered ready for inference, rackable in data centers or run at the edge; eliminates cloud dependency for fully air-gapped and sovereign deployments.
• Open Source Model Download Hub Centralized platform providing curated open-source language models, hardware sizing guidance, and direct download links to support private AI infrastructure adoption and reduce organizational reliance on public AI APIs.
• LLM Fine-Tuning Fine-tuning service that adapts pre-trained open-source models (LLaMA, Mistral, Falcon, GPT-J) to the customer's domain using proprietary data. Includes dataset curation, model selection (full fine-tuning, LoRA, QLoRA, PEFT), training, evaluation, packaging, and ongoing RLHF; weights remain exclusively owned by the customer.
• AI Workflow Automation Platform capability that transforms manual, repetitive, document-heavy processes into AI-powered automated workflows. Uses private, fine-tuned LLMs and multi-agent orchestration to handle high-volume tasks securely within customer infrastructure; integrates with Microsoft Teams, Salesforce, Google Workspace, Slack, ServiceNow, and major databases via pre-built connectors.
• AI Safety & Governance Enterprise AI governance framework providing role-based access control (RBAC), prompt and output logging, usage analytics, model versioning and rollback, bias mitigation, output guardrails, and audit-ready logging. Supports alignment with EU AI Act, NIST AI RMF, ISO 42001, GDPR, HIPAA, and SOC 2.
• Data Privacy Architecture Privacy-first architecture covering data ingestion with client-side encryption, vectorization within isolated databases, pre-inference PII/PHI redaction and reversible pseudonymization pipeline, and post-inference output validation. Supports GDPR, CCPA, HIPAA, and EU AI Act compliance with architectural controls rather than procedural ones.
• LLMO Marketing Services (Synthetic Anchor Creation, Object Optimization, Corpus Injection, Conversational SEO, Structured Data, Prompt Engineering, Prompt Monitoring) Suite of LLMO marketing services covering brand visibility in AI assistants (ChatGPT, Claude, Gemini, Perplexity), entity and object optimization, schema.org / JSON-LD markup, corpus injection, conversational SEO, prompt engineering, and prompt monitoring for drift, hallucination, and brand alignment.
• Consulting & Professional Services Discovery, requirements gathering, data strategy, deployment, integration, fine-tuning, audits, and compliance review services engaged through Statements of Work (SOWs) with defined deliverables, timelines, and fees; covers HIPAA, SOC 2, GDPR, and model risk governance reviews.
• Ongoing Support & Maintenance SLA-based support, model updates, and continuous optimization services sold alongside enterprise deployments of the Private LLM Platform.

Quantifiable outcome

• 70%+ of organizations have adopted AI in at least one business function
• +2 more outcomes

Named customers4 records

Segments8 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration19 records

AI capability10 records

Feature10 records

Partnerships

Two partnerships are on record, tiered core and flagship.

• DEV.cocoreOthersLLM.co is a DEV.co company. DEV.co is the parent organization that announced the integration of Automatic.co and LLM.co into a unified enterprise AI platform combining agentic automation with private LLM infrastructure.
• Automatic.coflagshipStrategic or Co-development PartnerAutomatic.co merged with LLM.co into a unified enterprise AI platform by DEV.co, combining agentic automation with private LLM infrastructure under a single deployment framework.

Scale indicators5 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Together AI: Together AI provides an open-model inference and fine-tuning cloud with private deployment options, addressing the same enterprise demand for sovereign LLM hosting that LLM.co targets.
• Cohere: Cohere sells enterprise LLMs with private deployment (Cohere on Azure/AWS, dedicated instances) and security/compliance features aimed at regulated industries — a direct competitor to LLM.co's enterprise LLM positioning.
• Aleph Alpha: Aleph Alpha is a European sovereign-AI provider offering private LLM deployments and compliance-grade hosting for regulated industries — a direct peer to LLM.co's sovereign-AI value proposition.
• SambaNova Systems: SambaNova delivers full-stack private LLM solutions combining proprietary RDU hardware and software, closely comparable to LLM.co's hardware-plus-software air-gapped and on-prem deployment story.
• Anyscale: Anyscale operates a managed platform for running and scaling open-weight LLMs on private and customer-controlled infrastructure, directly overlapping with LLM.co's private deployment, fine-tuning, and inference orchestration capabilities.
• Lambda: Lambda provides GPU cloud infrastructure and private LLM inference clusters (Hyperplane, 1-Click Clusters) that overlap with LLM.co's LLM-as-a-Service and Custom Hardware Appliances offerings.
• Hugging Face: Hugging Face operates the largest open-model hub and an enterprise inference offering (Inference Endpoints, Dedicated Deployments) that competes head-to-head with LLM.co's private deployment of open-weight models.

Broad incumbents

• IBM watsonx: IBM watsonx is an enterprise AI platform with strong regulated-industry, governance, and on-prem positioning that competes with LLM.co in legal, financial, and government verticals.
• Databricks: Databricks (with MosaicML) offers private model training, fine-tuning, and serving inside enterprise data platforms, giving regulated customers a private-LLM option embedded in a broader data and analytics suite — a broad incumbent in the same space.

Emerging players

• Ollama: Ollama enables local on-device and on-prem open-weight model execution for developers and enterprises, addressing a subset of LLM.co's edge and air-gapped deployment use cases with a free, easy-to-deploy open-source runtime.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about LLM.co