Most enterprise AI options tie you to one provider or one ecosystem. Liminal gives regulated organizations every leading model, with sensitive data protected and every interaction governed.
One provider can work for a single team on a single use case. Most organizations end up needing several, because each model is best at different work.
Public and general internal content can go to most tools. PHI, PII, PCI, and IP need protection before any prompt reaches a model.
Vendor attestations may be enough for light oversight. Audits need prompt logs, alerts, and exports your team controls.
When the answers are several, regulated, and audit-ready, Liminal is built for that.
Examples: ChatGPT Enterprise, Claude Team
Each gives you one company's models in that company's workspace.
One provider's models per subscription. Add a provider, add a subscription. Assistants only run on its models.
By attestation. Prompts reach the model as written.
Limited. Where logs exist, reading them takes a separate compliance product.
Teams standardized on one provider, with light sensitive-data needs.
Example: Microsoft 365 Copilot
AI built into the apps your teams already use, with models chosen by the suite provider.
Models chosen by the suite provider, priced on top of the suite license. Agents only run on its models.
By attestation, within the suite's permissions. Blocking sensitive data takes an added compliance license.
Seeing what was sent takes a separate compliance product.
Organizations that work mostly inside one productivity suite.
Examples: nexos.ai, Expedient
Access to many models through one platform.
Many models, usually metered by the token, so cost rises with use.
Varies by product. Check whether sensitive data is protected before it reaches the model.
Usage and cost. Seeing what was sent usually takes a separate product.
Teams that want many models and can manage usage-based cost.
Examples: Liminal
Every leading model in one governed workspace, on a single-tenant service for every customer.
Unlimited use of OpenAI, Anthropic, Google, Perplexity, and xAI models, plus your own, at one per-user price. No token metering. Assistants work across every model.
By architecture. PHI, PII, PCI, IP, and your own terms are protected in prompts, documents, audio, and text in images before any model sees them.
Built in. Every prompt logged, alerts on sensitive data, and secure exports to your SIEM.
Regulated organizations that need every leading model, with sensitive data protected.
Regulated organizations should look for a platform that gives teams the leading models while keeping sensitive data protected, access controlled, and every interaction on record.
Access to several leading providers, so your strategy doesn't depend on one company's roadmap.
Sensitive data protected before it reaches any model, not only commitments about how it's handled afterward.
Clear answers on data residency, and whether you share infrastructure with other customers.
The certifications and agreements your regulators expect, such as SOC 2 Type 2 and business associate agreements for health data.
A complete audit trail, identity integration, and logs you can export to your own systems.
A workspace people want to use, priced so you can roll it out across the organization, not just to a pilot group.
A multi-model AI platform gives an organization access to models from several AI providers in one place, so teams can choose the best model for each task. Liminal is a multi-model platform built for regulated industries, with sensitive data protected before any prompt reaches a model. For a deeper look, see multi-model vs single-model AI.
The best model for a task changes every few months. A multi-model platform lets your organization use whichever model leads, under one set of policies, without switching vendors.
Alternatives to ChatGPT Enterprise include other single-provider subscriptions such as Claude Team, productivity suite copilots such as Microsoft 365 Copilot, AI gateways, and secure AI enablement platforms such as Liminal, which includes OpenAI's models alongside Anthropic, Google, and others. See how Liminal compares to ChatGPT Enterprise.
Yes. Liminal includes unlimited use of the latest models from OpenAI, Anthropic, Google, Perplexity, and xAI in one governed workspace, with the same policies applied to every model. See how the Liminal platform works.
An AI gateway routes requests from applications to many models, mainly for developers. An AI workspace is where employees use AI directly. Liminal is a workspace for every team, with governance built in.
An AI governance tool oversees AI that people use elsewhere. A secure AI enablement platform such as Liminal provides the AI itself, with governance built in, so access, protection, and oversight live in one place. Our enterprise AI governance guide covers this in depth.
Most charge per seat, some add usage fees, and productivity suite copilots typically require the suite license as well. Liminal costs 40 to 60% less than per-seat AI subscriptions such as ChatGPT Enterprise, Claude Team, or Microsoft Copilot, with unlimited use of every leading model included.
It depends on what happens before data reaches the model. Liminal detects PHI, PII, PCI, and intellectual property in every prompt and protects it before anything reaches a model, according to the policies you set. See how Liminal protects sensitive data.
Last reviewed October 2026 based on publicly available information.
