Routes AI requests to the most appropriate model based on cost, capability, or context—defined by enterprise rules.
Different models excel at different tasks; choosing the wrong one increases cost or reduces output quality.
Enterprises are under siege from AI chaos. Costs are climbing, shadow AI and IT tools are multiplying, and corporate knowledge is slipping into systems without oversight. The race to leverage AI has opened doors—and budgets—but at what cost?
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Tracks model performance with real-time metrics, historical comparisons, and usage patterns across workspaces.
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Forecasts AI-related costs using real-time usage data and model behavior trends—giving teams proactive visibility into spend.
Provides actionable dashboards that highlight usage patterns, workflow efficiency, and compliance adherence to support strategic decision-making.
A centralized framework for applying pre- and post-inference policies across models or teams or the entire AI ecosystem..
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Extend Spherium.ai capabilities into existing systems—governance, workflows, and routing applied consistently via API.
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Routes AI requests to the most appropriate model based on cost, capability, or context—defined by enterprise rules.
Provides enterprise-grade encryption, JIT SSO, and protected workspace boundaries to secure AI operations end-to-end.
Captures end-to-end audit logs of every AI interaction, user activity, and system event—including prompts, responses, logins, API usage, and admin actions.
Empowers business users to visually create, test, and launch AI workflows without code—governed by integrated guardrails and routing rules.
Provides role-based environments where teams can securely access shared context, knowledge, and tools, enabling them to collaborate effectively.
Preserves workspace and team-level context across AI Models, ensuring inference aligns with historical insights and ongoing priorities.
Centralizes prompts, responses, documents, and URLs in secure, searchable libraries assigned to workspaces or teams.
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