Model Performance Monitoring
Tracks model performance with real-time metrics, historical comparisons, and usage patterns across workspaces.
Seamlessly integrating secure multi-model access, robust context management, advanced governance, and a human first collaboration portal tailored explicitly for enterprise needs.
Seamlessly connect to any major AI model through a single, secure gateway via API or Collaboration Portal.
Maintain persistent, cross-model context that keeps AI interactions consistent, compliant, and auditable .
Enforce enterprise-grade policies with robust RBAC, audit trails, and guardrails built to meet the highest compliance standards.
Empower teams with collaborative and individual workspaces to manage all AI interactions, share knowledge, and secure access.
Streamline your workflows and optimize costs by selecting the most effective AI models and paying only for what you use. This approach significantly boosts your return on investment, enabling teams to focus on strategic innovation and driving measurable business outcomes.
Keep your sensitive data safe with advanced encryption and strict access controls. Spherium.ai ensures your information remains secure and compliant, building trust with clients and partners by protecting critical data from breaches and unauthorized access.
Unify your teams on a single platform to improve communication and collaboration. With real-time insights, shared data, and streamlined workflows, your teams can make informed decisions faster, reducing miscommunication and increasing overall productivity.
Fragmented Governance & Security
Policies, access rules, and oversight are scattered across disconnected systems, leaving sensitive information exposed and enterprises vulnerable to compliance failures.
Siloed Knowledge & Lost Context
AI operates in silos, leaving critical insights disconnected and inaccessible. Teams lack the context they need, leading to misaligned efforts, repeated work, and inefficiency.
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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