Model Performance Monitoring
Tracks AI model performance through detailed dashboards, measuring accuracy, latency, and cost per inference for optimization.
Puts all your AI efforts under one roof, giving your teams a single, well-guarded place to find the data, models, and insights they need.
Centralize and simplify your entire AI ecosystem with one secure, unified platform.
Maintain shared team context across models to ensure consistent, aligned, decisions.
Enforce trust, security, and compliance with governance that adapts seamlessly to your needs.
Partition sensitive information to safeguard data and enforce role-based access controls.
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 & Weak 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?
Tracks AI model performance through detailed dashboards, measuring accuracy, latency, and cost per inference for optimization.
Forecasts AI-related expenses with budgeting tools that analyze usage patterns, workflows, and model costs, helping you plan smarter.
Provides actionable dashboards that highlight usage patterns, workflow efficiency, and compliance adherence to support strategic decision-making.
A centralized framework for creating, enforcing, and monitoring policies across AI security, compliance, and usage.
Extends Spherium.ai’s governance, workflows, and metadata into proprietary systems with secure and flexible APIs.
Routes tasks to the most suitable AI model based on metadata, cost, and performance criteria, optimizing outputs every time.
Combines enterprise-grade encryption, SSO with JIT provisioning, and automated metadata management to secure resources and workflows.
Delivers granular permissions to ensure only authorized users can access sensitive information and tools, aligned with organizational policies.
Empower business users to create custom AI workflows and agents through an intuitive, drag-and-drop interface supported by governance guardrails.
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 workflows, ensuring decisions and tasks align with historical insights and ongoing priorities.
Centralizes prompts, responses, documents, databases, and URLs—into a secure repository. Teams access what they need, while sensitive information remains protected.
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