Enterprise AI Gateway

One secure way for every team to use AI.

Spherium.ai helps organizations give people and applications approved access to AI through personal and team workspaces, model routing, rules, reporting, and API access without letting AI spread across disconnected tools.

Request Demo Start 10-Day Free Trial

Start with a 10-Day Free Trial, or request a guided walkthrough for your team.

Built for companies that want to give teams practical AI access while keeping usage, cost, security, and model activity easier to manage.

Enterprise AI Gateway

One approved path for teams, applications, and models.

Input

People & apps

Approved AI access

Gateway

Spherium.ai Gateway

Workspaces + routing

Output

AI Models

Approved access

Platform capabilities

Role-based access

Rules

Smart routing

Reporting

Problem

AI sprawl is becoming an operating problem.

Teams want AI because it helps them move faster. But without a shared platform, companies lose visibility into tools, costs, data movement, and model usage.

AI spreads before standards are in place

People find useful AI tools quickly, often before the company has a shared way to manage access, usage, and reporting.

Costs become difficult to explain

Model activity, token consumption, and team usage become harder to connect back to departments, projects, and business value.

IT loses the full picture

Leaders need a practical view of who is using AI, which models are involved, where context lives, and where adoption needs support.

Platform

One approved path for teams and applications.

Spherium.ai gives people personal and team workspaces for collaboration, while applications use a controlled API path to approved models, rules, routing, and reporting.

One approved path

People work in personal and team workspaces. Applications connect through the API. Roles, rules, routing, reporting, and audit logs stay tied to the same approved path to AI models.

Spherium.ai platform

Workspaces, roles, rules, routing, and reporting in one place

Workspaces

Organize teams, files, context, and model access around the way work happens.

Roles

Administrators can manage who can access workspaces, knowledge, models, and platform settings.

Rules

Apply routing rules and governance guardrails by workspace, team, data need, or workflow.

Routing

Direct work across approved model options while balancing cost, quality, latency, and risk.

Reporting Hub

Understand usage, spend, model activity, adoption, and control events across users and workspaces.

API access

Give approved applications and builders API access that stays aligned with roles, routing, reporting, and audit logs.

Business outcomes

Less sprawl. More visibility. Safer adoption.

The platform helps teams adopt AI faster while giving leaders the access, cost, and activity signals they need.

Simplify

Reduce AI sprawl

Give teams one approved place to use AI instead of spreading prompts, context, and model access across disconnected tools.

Secure

Protect company information

Keep AI work aligned to workspaces, roles, rules, and audit logs so useful adoption does not depend on personal accounts.

Scale

Scale adoption with reporting

Help leaders understand usage, cost signals, model activity, and adoption trends before AI spreads across the business.

In practice

What teams are telling us.

Teams use Spherium.ai to move AI work out of isolated chats and into personal and team workspaces with clearer access, context, and visibility.

Collaboration Platform

“Spherium’s collaboration capability across teams is the best feature. Instead of everyone using AI in isolated chats, people can start in their own workspace and share prompts, workflows, and knowledge when it becomes useful to the team. That helps us analyze work together, prevent duplicated effort, and build reusable workflows the whole team can improve.”

Customer feedback

Operations team

AI governance

“Spherium addresses the part of AI adoption most organizations are behind on: visibility, control, and governance. It gives companies a practical way to support AI innovation without losing sight of risk, compliance, cost, and consistency.”

Customer feedback

AI program leader

Security and controls

Controls are built into the approved path.

Security should support adoption, not slow it down. Spherium.ai gives teams a clear place to work while administrators apply access, rules, audit logs, and reporting in the workflow.

Control workflow

Access

Users work inside approved spaces with defined context, knowledge, and model options.

Role

Permissions reflect each user, workspace, and administrative responsibility.

Rule

Routing and governance rules apply guardrails at the workspace level.

Review

Usage, cost, adoption, and security events are available for administrators to inspect.

Control matrix

Identity, data, model, and evidence controls

Workspace isolation

Workspaces help separate context, knowledge, users, and controls by team or use case.

Role-based access

Admins can control who can access workspaces, knowledge, models, and administrative capabilities.

Rules engine

Routing rules and governance rules help administrators apply preconfigured or custom guardrails by workspace.

Audit logging

Audit logs help administrators review AI activity, control events, and platform usage.

Reporting Hub

The Reporting Hub helps administrators understand usage, cost, adoption, model activity, and security events.

Secure proxy posture

Spherium.ai brokers AI requests between users and third-party model providers through API-based connections.

Policy-aligned controls

Controls help teams follow company standards inside the workflow, not only in written guidance.

US-based hosting

Spherium.ai is fully hosted in the United States.

Audit-ready visibility

Review AI activity, security events, model activity, platform usage, and workspace activity from one reporting layer.

Evidence-ready

Model flexibility

Support the models your teams prefer.

AI models change quickly. Spherium.ai helps companies keep model choice open while standardizing access, routing, cost visibility, and security controls.

Keep model choice open

Support leading model providers such as OpenAI, Anthropic, Google, and xAI without forcing every team into one model.

Keep standards portable

Apply access, workspace, and rule patterns across model choices instead of rebuilding standards for each use case.

Use the right model for the job

Smart Routing helps teams balance cost, quality, latency, and risk while preserving leadership visibility.

Reporting and visibility

See where AI is used—and what it costs.

The Reporting Hub helps administrators understand adoption, model activity, spend signals, user activity, and security events. Leaders get a clearer picture without chasing spreadsheets.

Usage by team

See where AI work is happening across users, workspaces, models, and teams.

Cost signals

Understand spend signals across model activity, token usage, workspaces, and adoption patterns.

Adoption trends

Track which teams are active and where rollout needs more enablement or support.

Security events

Review rule activity, policy changes, administrative activity, and workspace events.

Evidence-ready views

Provide structured reporting for internal reviews, security questions, and leadership updates.

Why Spherium.ai

One platform instead of disconnected AI tools.

Spherium.ai brings people, applications, workspaces, models, roles, rules, routing, reporting, and API access into one secure platform.

One platform instead of AI sprawl

Bring people, applications, workspaces, models, roles, rules, reporting, and API access into one secure platform.

Multi-model support

Keep flexibility across leading providers, including OpenAI, Anthropic, Google, and xAI.

workspaces

Give people personal workspaces for individual AI work and team workspaces for shared files, knowledge, permissions, and use-case context.

Persistent context

Keep useful context associated with workspaces so teams can build on prior work instead of starting over.

Role-based access

Let administrators manage who can use workspaces, models, knowledge, and platform capabilities.

Rules engine

Apply routing rules and governance guardrails where AI work happens.

Smart Routing

Help teams choose model paths based on cost, quality, latency, and risk.

Reporting Hub

Give leaders visibility into adoption, usage, spend, model activity, and security events.

API Gateway

Support approved applications and builders without creating a separate control model for every project.

FAQ

Questions buyers ask before standardizing AI.

Short answers for IT, security, finance, and operations leaders evaluating Spherium.ai.

What is an Enterprise AI Gateway?

An Enterprise AI Gateway gives companies one approved layer for AI access across teams, workspaces, models, rules, routing, and reporting. Spherium.ai sits between people, applications, and AI models so organizations can standardize usage without forcing every team into one tool.

Who is Spherium.ai built for?

Spherium.ai is built for organizations that want to expand AI adoption while keeping access, cost, security, and reporting manageable. It is designed for IT leaders, security teams, operations leaders, AI program owners, system integrators, and teams that need a consistent way to use AI across departments.

How does Spherium.ai reduce AI sprawl?

Spherium.ai gives teams one approved place for AI work instead of spreading usage across disconnected apps and individual accounts. Workspaces, roles, rules, routing, and reporting help standardize how AI is accessed, used, and reviewed.

Which AI model providers does Spherium.ai support?

Spherium.ai supports multi-model access across leading model providers, including OpenAI, Anthropic Claude, Google Gemini, and xAI Grok. The platform is built so organizations can keep model choice flexible as provider needs evolve.

What are workspaces used for?

Workspaces organize AI activity around teams, departments, clients, or use cases. They keep conversations, files, knowledge, context, users, roles, and model access aligned with the work being done.

What does the Reporting Hub show?

The Reporting Hub gives administrators visibility into AI adoption, usage, spend, model activity, user activity, workspace activity, rule activity, and security events. It helps leaders understand how AI is being used and where standards are being followed.

How does Spherium.ai protect company data?

Spherium.ai provides a managed AI access layer with workspace boundaries, role-based access, configurable rules, audit logs, reporting, and secure brokered connections to model providers. Spherium.ai does not use customer data to train models.

What subscription and deployment options are available?

Spherium.ai offers plans where customers bring their own models, plus plans with models preloaded. An on-premises version is available for customers who need it, and standard hosted rollouts include complimentary onboarding and deployment assistance that can typically get first users running in one 30-minute meeting.

Partner ecosystem

Built with partners who help organizations adopt AI with confidence.

Spherium.ai works across technology, consulting, and service relationships to help teams standardize AI access, improve visibility, and support secure adoption.

Explore partner opportunities