Models
Typical public AI chatbot: One vendor's models
NeutralModel enterprise AI workspace: Every leading AI model through one interface
Self-Hosted AI
Your data. Your infrastructure. Complete control.
Multi-Model AI
One interface for every leading AI model.
AI Governance
Who can use which AI, on what data — with a record of everything.
Cost Intelligence
See where your AI spend goes — and cap it.
What is an enterprise AI workspace?
An enterprise AI workspace is one company-controlled place where employees use AI models while IT governs security, access, cost and audit in a single layer. NeutralModel is an AI workspace for teams across the company, and one enterprise AI platform for every model: a chat interface and an API for people, and admin controls for the business.
The NeutralModel Difference
AI workspace vs chatbot
A chatbot is a tool one person uses. An AI workspace is a system a company runs.
Login
Typical public AI chatbot: Personal accounts
NeutralModel enterprise AI workspace: Company SSO and a registered device
Data
Typical public AI chatbot: Staff decide what to paste
NeutralModel enterprise AI workspace: PII redaction and company keyword masking before data leaves
Records
Typical public AI chatbot: None for the company
NeutralModel enterprise AI workspace: Immutable AI audit trail
Spend
Typical public AI chatbot: Separate licences, no central view
NeutralModel enterprise AI workspace: AI budget controls per user and per model
Control
Typical public AI chatbot: The vendor
NeutralModel enterprise AI workspace: Your admins
The request flow
How a request flows through the enterprise AI workspace
Every prompt, from every employee and every API call, passes the same four steps before an answer comes back.
- 01
Identify
The employee signs in with company SSO for AI tools from a registered device, locked with WebAuthn. Role-based access control for AI decides which models and features they can use.
- 02
Protect
PII redaction for AI, sensitive data masking, company keyword masking and hard-block policies run before the prompt leaves your environment, with prompt-injection defences applied.
- 03
Answer
The model your admin approved for this person and this type of work responds, within budget. If that model or provider fails, a fallback takes over and the conversation context carries across. Harmful answers are blocked, logged and flagged to admins.
- 04
Record
The interaction is written to the immutable AI audit trail and counted against the user's budget. If the audit record cannot be written, the answer is withheld.
Self-Hosted AI
Self-hosted AI platform: a self-hosted AI workspace in your environment
Each customer runs a dedicated NeutralModel deployment, delivered as a container image, on infrastructure you choose. Once delivered, it is fully in your hands: nothing is sent to NeutralModel, and NeutralModel has no access to it or visibility into it.
- On-premise AI platform in your own data centre
- Private cloud AI on the cloud you already use
- VPC deployment inside your own network
- Air-gapped AI for the most sensitive work
AI data security
- Prevent AI data leakage. Sensitive data masking for personal data and company keywords happens before a prompt leaves your environment.
- Bring your own keys (BYOK): provider keys are stored and managed in your environment and never reach NeutralModel.
- Your own provider agreements: you hold the agreement with each model provider, including data retention and training terms.
- Encryption in transit and at rest, with key rotation.
- AI data sovereignty: you decide where your data lives and how it is processed.
Security updates without losing history
Security updates ship as a new container image. Download it, export the audit log from the old deployment, load it into the new one and carry on. Context and controls carry over, and earlier audit logs stay intact and untouched.
Multi-Model AI
Multi-model AI: the right model for the right task
NeutralModel is a multi-LLM platform with one interface for every LLM and every leading AI model, and no vendor lock-in. Your admins, not a vendor, decide who uses what.
- Model access controls. Choose which models each person can use, by type of work. Legal questions can go to one model for one user and a different model for another. Or start from NeutralModel's suggested defaults.
- Model routing by fixed rules. The type of query and the model that answers are chosen by clear, auditable rules, never by an AI model. The model that answers has no view of why it was selected.
- LLM fallback and failover. If a model or provider has a problem, work continues on a fallback and the conversation context carries across.
- New AI models are added without retooling, so you are never tied to one provider's roadmap.
AI Governance
Enterprise AI governance platform: access, guardrails and audit
AI governance in NeutralModel is enforced in the workspace itself, not left to a policy document. It is a governed AI workspace with centralized control of AI usage across every team and every model.
Secure AI access
- SSO with your company login. Remove someone from SSO and their access ends immediately.
- Device binding with WebAuthn: each person works from one registered device and cannot use the workspace without logging in.
- Role-based access control for every model, feature and admin function.
AI guardrails
- PII redaction and company keyword masking before a prompt leaves your environment.
- Hard-block policies for the terms you never want shared, enforced on chat and API paths alike.
- Data loss prevention (DLP) for generative AI and prompt-injection defences.
- Harmful answers are blocked, logged and flagged to admins.
Immutable audit logs and AI audit trail
- Every interaction is recorded in an audit log that nobody can delete, with the retention period you set.
- Audit logging fails closed: if a record cannot be written, the answer is withheld.
- A full AI audit trail supports AI compliance and risk reporting.
Shadow AI prevention: how to stop shadow AI
People use shadow AI when approved tools are costly or missing. An approved workspace that is easy to use and affordable gives them no reason to go around it, and ends AI sprawl.
Cost Intelligence
AI cost management and usage analytics
AI cost optimization comes from two things: the right model for each task, and a limit on spend that is enforced, not hoped for. Enterprises can reduce AI costs by up to 50% (an estimate that varies with usage).
- AI budget controls per user and per model. A user's budget applies across all models combined. This is LLM spend control that works at the level of each person.
- A limit that works. When a user reaches their budget, the admin chooses whether they are blocked or moved to a single low-cost model, set per user.
- Token thresholds. Answers that run past a limit you set are trimmed.
- AI usage analytics and LLM observability. See who used which model, when and at what cost, by user, team, project, model and time period.
- Usage-based AI pricing. A per-seat AI licence alternative: no separate licence for each AI platform, and spend that follows real use. AI workspace pricing is explained in the FAQ below.
ChatGPT Enterprise alternative and Microsoft Copilot alternative
Teams comparing a ChatGPT Enterprise alternative or a Microsoft Copilot alternative usually want three things: a choice of models, control over where data lives, and spend they can cap per person. NeutralModel is built around those three.
AI gateway vs AI workspace
An LLM gateway or AI gateway is developer infrastructure that sits behind applications. NeutralModel is an enterprise AI workspace: a chat interface for employees, API access for developers, and admin controls over both.
What to look for in the best AI workspace for enterprise teams
Seven questions separate an enterprise AI workspace from a chatbot with a login.
Deployment control
Can it run in our environment?
Self-hosted AI platform: on-premise, private cloud, VPC or air-gapped
Model choice
Are we tied to one vendor?
Multi-model AI with no vendor lock-in and admin-defined model access
Identity
Does it use our login and devices?
SSO, WebAuthn device binding and role-based access control
Data protection
What leaves before a model sees it?
PII redaction, company keyword masking, hard-block policies and DLP
Audit
Can we prove what happened?
Immutable audit logs and a full AI audit trail, with retention you set
Cost control
Can we cap spend per person?
AI budget controls per user and per model, with AI usage analytics
Resilience
What if a provider fails?
LLM fallback and failover, with context carried across
Secure AI for regulated and IP-heavy sectors
NeutralModel is built for teams where a leak costs more than a licence.
Secure AI for law firms.
Client names and deal terms are masked before a prompt leaves, and every use is logged.
Secure AI for healthcare.
Patient identifiers are masked as PII, and a self-hosted deployment keeps data in your environment.
Secure AI for insurance.
Policyholder data is masked and every interaction can be audited.
Defence.
Air-gapped deployment for sensitive programmes.
Deep tech and semiconductor.
Design IP and company keywords are blocked from leaving.
Frequently Asked Questions
Enterprise AI workspace FAQ
See the enterprise AI workspace running on your models, your data and your policies.
One login, one interface and one audit trail for every model. Self-hosted in your environment, governed by your admins, and priced by what your people actually use.