AI TOOL PROFILE
aiflow: Private AI Infrastructure for Regulated Industries
- Software Development
- AI Infrastructure
- 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.
At a glance
- Best for
- Law firms and legal teams, Healthcare providers, Government agencies, Financial services firms, Enterprise companies with strict IP requirements
- Key use cases
- Secure Document Summarization, Internal Knowledge Q&A, Private Contract Review, Air-Gapped Intelligence, Patient Note Summarization
- Official website
- Visit aiflow official website
How AI is used
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
Private LLM Hosting
Supports running models on-premise, in a private cloud, or via a managed VPC.
Air-Gapped Operation
Supports fully offline deployment for environments where internet access is restricted.
Compliance Architecture
Designed to align with HIPAA, GDPR, and SOC 2 standards, featuring audit logs and data encryption.
Bring Your Own Data (BYOD)
Supports ingestion and indexing of PDFs, emails, and internal wikis for semantic search and Q&A.
Open-Source Model Support
Works with various foundation models including LLaMA 3, Mistral, DeepSeek, and Mixtral.
Role-Based Access Control
Includes granular permissions to limit which users or teams can access specific documents or AI agents.
Use Cases
Secure Document Summarization
Summarizing emails, client calls, and meeting transcripts for legal or medical teams.
Internal Knowledge Q&A
Creating a private search engine for employees to ask questions grounded in internal SOPs and files.
Private Contract Review
Using AI agents to identify clauses and extract terms from contracts within a secure firewall.
Air-Gapped Intelligence
Running AI-powered tagging and classification in disconnected environments for defense or government use.
Patient Note Summarization
Supporting clinical documentation by summarizing patient charts while keeping PHI internal.
FAQ
How does aiflow differ from public AI tools?
- 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.
Is aiflow compliant with healthcare and legal regulations?
- The platform is designed with architecture, encryption, and audit logs that align with HIPAA, GDPR, and SOC 2 standards.
What is the pricing structure for aiflow?
- aiflow uses flat-fee licensing with no per-user or token costs. Pricing is custom-tailored to the deployment type.
How long does it take to deploy the platform?
- 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
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