Bring Your Own Data (BYOD) & Keep it Private
At LLM.co, we believe your data should empower your organization—not put it at risk. Whether you're handling contracts, case files, financial records, or internal documentation, our platform ensures that bringing your own data (BYOD) never means giving up control. Deploy AI workflows securely, without exposing sensitive information to public clouds or third-party models.
Private, Encrypted AI That Respects Your Rules
Our BYOD pipeline includes privacy-enhanced RAG systems that search your internal documents in real-time without exposing them to inference APIs or cloud-based transformers. Outputs are traceable, auditable, and grounded in your verified data.
Data Ingestion with Guardrails
Upload PDFs, Word docs, emails, knowledge bases, and structured data with optional client-side encryption. All ingestion points are hardened for compliance.
Vectorization Without Exposure
We convert your documents into vector format using self-hosted or isolated vector databases like FAISS or Chroma. Your data never leaves your environment—ideal for legal privilege, HIPAA, or SOC 2 contexts.
Custom AI Without Public Leakage
Fine-tune or instruct your LLM using isolated datasets. Your knowledge base powers your model—no cross-pollination with anyone else's data.
Why Privacy Matters in Enterprise AI Solutions
In industries like law, finance, healthcare, and government, privacy isn’t optional—it’s mandated. When using generative AI, you need assurance that your internal documents, client records, and sensitive IP stay confidential and compliant.
No Data Leaks
We never train public models on your data. Period.
Air-Gapped & On-Prem
Run everything inside your firewall or VPC.
Zero Retention
Inputs, prompts, and documents are never stored or reused.
Features Built with Privacy at the Forefront
All of our enterprise, private LLM features are built with a privacy-first stance
Email/Call/Meeting Summarization
LLM.co enables secure, AI-powered summarization and semantic search across emails, calls, and meeting transcripts—delivering actionable insights without exposing sensitive communications to public AI tools. Deployed on-prem or in your VPC, our platform helps teams extract key takeaways, action items, and context across conversations, all with full traceability and compliance.
Security-first AI Agents
LLM.co delivers private, secure AI agents designed to operate entirely within your infrastructure—on-premise or in a VPC—without exposing sensitive data to public APIs. Each agent is domain-tuned, role-restricted, and fully auditable, enabling safe automation of high-trust tasks in finance, healthcare, law, government, and enterprise IT.
Internal Search
LLM.co delivers private, AI-powered internal search across your documents, emails, knowledge bases, and databases—fully deployed on-premise or in your virtual private cloud. With natural language queries, semantic search, and retrieval-augmented answers grounded in your own data, your team can instantly access critical knowledge without compromising security, compliance, or access control.
Multi-document Q&A
LLM.co enables private, AI-powered question answering across thousands of internal documents—delivering grounded, cited responses from your own data sources. Whether you're working with contracts, research, policies, or technical docs, our system gives you accurate, secure answers in seconds, with zero exposure to third-party AI services.
Custom Chatbots
LLM.co enables fully private, domain-specific AI chatbots trained on your internal documents, support data, and brand voice—deployed securely on-premise or in your VPC. Whether for internal teams or customer-facing portals, our chatbots deliver accurate, on-brand responses using retrieval-augmented generation, role-based access, and full control over tone, behavior, and data exposure.
Offline AI Agents
LLM.co’s Offline AI Agents bring the power of secure, domain-tuned language models to fully air-gapped environments—no internet, no cloud, and no data leakage. Designed for defense, healthcare, finance, and other highly regulated sectors, these agents run autonomously on local hardware, enabling intelligent document analysis and task automation entirely within your infrastructure.
Knowledge Base Assistants
LLM.co’s Knowledge Base Assistants turn your internal documentation—wikis, SOPs, PDFs, and more—into secure, AI-powered tools your team can query in real time. Deployed privately and trained on your own data, these assistants provide accurate, contextual answers with full source traceability, helping teams work faster without sacrificing compliance or control.
Contract Review
LLM.co delivers private, AI-powered contract review tools that help legal, procurement, and deal teams analyze, summarize, and compare contracts at scale—entirely within your infrastructure. With clause-level extraction, risk flagging, and retrieval-augmented summaries, our platform accelerates legal workflows without compromising data security, compliance, or precision.
Practical Use Cases for Data Privacy
We primarily focus and work with compliance-heavy industries that demand data privacy above all else
Legal Teams Reviewing Private Case Law & Filings
Law firms and in-house legal departments are under constant pressure to analyze vast quantities of sensitive documents—everything from contracts and NDAs to regulatory filings and litigation records. With LLM.co, legal teams can securely ingest and query their internal case law databases, compare contract language across clients or jurisdictions, and generate summaries or memos without risking confidentiality. The platform supports nuanced searches across discovery files, internal compliance documentation, and privileged communications, enabling attorneys to respond faster and more accurately. Since all data remains securely within the organization’s control—whether deployed on-prem or in a VPC—the platform maintains client-attorney privilege and ensures that no sensitive data ever leaves the organization's infrastructure.
Banks Processing Internal Policy Documents
Financial institutions operate under an intense regulatory environment where precision and confidentiality are critical. Banks can use LLM.co to analyze internal policy documents, compliance protocols, operational handbooks, and training guides without exposing proprietary or customer-sensitive information to external services. Risk and compliance teams can ask natural language questions about internal AML procedures, know-your-customer rules, or audit guidelines and receive fast, grounded answers based entirely on the bank’s own documentation. Because everything runs within a private, access-controlled environment, LLM.co helps financial institutions avoid costly compliance breaches while reducing the manual burden of navigating thousands of pages of internal procedures.
Healthcare Organizations Querying EHR Systems Securely
Hospitals, healthcare networks, and insurers handle some of the most sensitive personal data available—protected health information governed by HIPAA and other privacy laws. With LLM.co, these organizations can bring their own electronic health records, clinical guidelines, billing codes, and medical research into a secure AI environment. Clinicians and administrative staff can ask complex questions about a patient’s history, generate referral summaries, or analyze treatment outcomes without risking data leakage. The system runs entirely within their IT infrastructure or VPC, ensuring that no PHI is exposed to external vendors or APIs. This enables real-time, AI-powered support for diagnosis, triage, and documentation, all while preserving regulatory compliance and patient trust.
Government Teams Navigating Classified Knowledge Bases
Government agencies and defense contractors often work with restricted, confidential, or classified materials where traditional SaaS AI tools simply aren’t an option. LLM.co offers a secure, compartmentalized solution that allows these teams to deploy AI locally and interact with internal SOPs, historical memos, mission-critical briefings, and policy documents. Whether the goal is to assist in FOIA request triage, threat intelligence review, or internal investigations, LLM.co allows natural language interaction with sensitive information while enforcing strict access controls and comprehensive audit trails. Because the system can run entirely in air-gapped or SCIF-compliant environments, it supports zero-trust government deployments with no compromise to data security or operational integrity.
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FAQs
Frequently asked questions about LLM data security
LLM.co was built from the ground up with strict data isolation in mind. When you bring your own data—whether it’s legal documents, financial reports, or patient records—that data is never used to train public models, stored outside your environment, or shared with any third parties. Our deployments operate entirely within your infrastructure or VPC, and all processing is encrypted end-to-end. Nothing is cached, retained, or exposed without your explicit control. We don’t just promise data privacy—we engineer it into every part of the pipeline.
Yes. LLM.co is designed specifically for regulated environments and is fully customizable to meet your compliance requirements. Whether you’re operating under HIPAA for healthcare, GDPR for data protection in the EU, or internal audit controls aligned with SOC 2, we support the technical and administrative controls necessary to maintain compliance. From secure access controls and encryption to full audit logging and deployment in private infrastructure, we provide a privacy-preserving AI environment you can trust.
No. When deployed in private or on-prem environments, your data is never sent to any external third-party provider—not to OpenAI, not to Anthropic, not even to LLM.co. You remain in full control of where your data lives and how it’s accessed. If you use retrieval-augmented generation (RAG), your vector database and embeddings stay within your environment. Our team cannot see or access your documents, prompts, or outputs unless you explicitly invite us for troubleshooting or managed service engagements.
LLM.co supports a wide range of document types and structured data, including PDFs, Word files, PowerPoint decks, spreadsheets, emails, HTML, and CSVs. We also integrate with internal systems like document management platforms, EHRs, CRMs, and ticketing systems. Whether you need to ingest contracts, court filings, operating procedures, or compliance logs, our platform can parse, tokenize, and vectorize it—all without compromising privacy or data sovereignty.
The key difference is ownership and control. With LLM.co, you don’t send your data out to someone else’s cloud—you bring the model to your data. Public APIs are fast and accessible but require uploading your private information to infrastructure you don’t control. That means potential retention, surveillance, or model training using your data. LLM.co reverses that model: everything runs privately, with no external dependencies, full encryption, and zero data leakage. You get the benefits of large language models without compromising privacy, compliance, or intellectual property.