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What is Liminal?
Liminal is a secure AI enablement platform that becomes the place AI happens inside a regulated organization. Employees reach models from Anthropic, OpenAI, Google and other providers through one governed interface, and protection is applied inside the prompt before anything leaves the organization.
That design answers a tradeoff most organizations are stuck in. Restrict AI access and employees route around it, taking the exposure somewhere nobody can see. Allow open access and regulated information flows into third-party systems with no record of what went where. Liminal makes the compliant path the convenient one, so there is nothing to route around.
Protection happens inside the prompt. Before text leaves the organization, sensitive terms are recognized and handled according to rules the organization defines by data category: replaced with tokens, removed entirely, flagged for the user, or stopped outright. Tokens are swapped back when the response returns, so the employee reads something coherent while the provider never receives the underlying information. Nothing has to be scrubbed by hand.
Model choice stays open. Policy-based routing directs traffic without anyone configuring controls provider by provider, and there are no separate contracts or security reviews for each vendor added.
Everything is recorded as it happens: which person, which model, which rules fired, what was caught. Auditors and examiners get evidence produced at the moment of the interaction rather than assembled afterward, and the same records can feed existing security tooling so AI activity sits alongside everything else being reviewed.
Internal systems connect through MCP, letting people bring real organizational context into their work without copying data into unmanaged tools. Existing permissions carry through.
Infrastructure is single-tenant. Authentication runs through SSO with role-based authorization. Organizations in banking, insurance, healthcare, education, g
What is Ariath?
Ariath connects a firm’s CRM, custodian, planning tools, and other existing systems into one intelligent thread, so AI can act with full client context while the firm stays in control of how its data is accessed, governed, and used.
Governance is configured around each workflow rather than applied as a one-size-fits-all policy. Ariath validates role-based access before data reaches an approved AI model, applies configurable redaction to sensitive information, and creates structured, queryable audit records for every request.
Retention settings, prompt injection protection, and tenant-specific deployment provide additional control over how AI interacts with firm and client data.
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Integrations Supported
OpenAI
Slack
Snowflake
Anthropic
Confluence
Dropbox
Google
Integrations Supported
OpenAI
Slack
Snowflake
Addepar
ChatGPT
Facebook
API Availability
API Availability
Pricing Information
Per-user subscription with unlimited access to every supported model. Typically 40 to 60 percent below ChatGPT Enterprise, Claude Teams, or Microsoft Copilot subscriptions. Pricing available on request.
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Android
iPhone
iPad
Chromebook
Supported Platforms
SaaS
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Company Facts
Organization Name
Liminal
Company Location
United States
Company Website
www.liminal.ai/
Company Facts
Organization Name
Ariath
Company Location
United States
Company Website
www.ariath.ai/
Categories and Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
Multi-Language
Natural Language Processing
Process/Workflow Automation
Rules-Based Automation
Generative AI
Not specified
Categories and Features
Integration
Dashboard
ETL - Extract / Transform / Load
Multiple Data Sources
Web Services