aiflow: Private AI Infrastructure for Regulated Industries
aiflow helps organizations in regulated sectors deploy private LLMs within their own secure environment. It is designed for teams that need to use AI without sending sensitive data to public APIs.
At a glance
- Category
- Software Development
- Best for
- Law firms and legal teams, Healthcare providers, Government agencies, Financial services firms, Enterprise companies with strict IP requirements
- Pricing
- aiflow uses flat-fee licensing. Examples include ~$2,000 for an SMB healthcare clinic, ~$2,800 for a mid-sized law firm, and ~$20,000 for government agencies. A hardware appliance is available starting from $7,000.
- Key use cases
- Secure Document Summarization, Internal Knowledge Q&A, Private Contract Review, Air-Gapped Intelligence, Patient Note Summarization
- Official website
- aiflow.io
aiflow is a private AI infrastructure platform for organizations that cannot use public LLMs due to security or regulatory constraints. It supports the deployment of open-source models such as LLaMA 3, Mistral, and DeepSeek on-premise, in a private cloud, or in air-gapped environments.
The tool is intended for teams in industries such as legal, healthcare, and government. It provides a framework for indexing internal documents and creating role-based AI agents that operate within the organization's own firewall.
Users may utilize the platform for tasks such as secure document summarization, contract review, and internal knowledge Q&A. Because the software is modular, organizations can choose specific components based on their technical and compliance needs.
Buyers should confirm their hardware capabilities, as some workloads may require specific GPU specifications, though a pre-configured hardware appliance is available for offline solutions.
Key Features
Supports running models on-premise, in a private cloud, or via a managed VPC.
Supports fully offline deployment for environments where internet access is restricted.
Designed to align with HIPAA, GDPR, and SOC 2 standards, featuring audit logs and data encryption.
Supports ingestion and indexing of PDFs, emails, and internal wikis for semantic search and Q&A.
Works with various foundation models including LLaMA 3, Mistral, DeepSeek, and Mixtral.
Includes granular permissions to limit which users or teams can access specific documents or AI agents.
Use Cases
Summarizing emails, client calls, and meeting transcripts for legal or medical teams.
Creating a private search engine for employees to ask questions grounded in internal SOPs and files.
Using AI agents to identify clauses and extract terms from contracts within a secure firewall.
Running AI-powered tagging and classification in disconnected environments for defense or government use.
Supporting clinical documentation by summarizing patient charts while keeping PHI internal.
Best For
Pricing
aiflow uses flat-fee licensing. Examples include ~$2,000 for an SMB healthcare clinic, ~$2,800 for a mid-sized law firm, and ~$20,000 for government agencies. A hardware appliance is available starting from $7,000.
FAQ
Unlike public LLMs that send data to external servers, aiflow runs within your own infrastructure—on-prem, in your VPC, or offline—so data remains in your environment.
The platform is designed with architecture, encryption, and audit logs that align with HIPAA, GDPR, and SOC 2 standards.
aiflow uses flat-fee licensing with no per-user or token costs. Pricing is custom-tailored to the deployment type.
Deployments are typically designed to go live in 10 to 14 days, though cloud or VPC setups may be faster.
Source category: Software Development
Source subcategory: AI Infrastructure
