Enterprise AI should not depend on a single model provider.
Wisebric connects leading AI providers through one centralized gateway, helping organizations select models for different AI workloads, recover from provider failures, and maintain visibility into model usage.
Bring your own provider credentials, configure model roles, and run AI experiences through a common model infrastructure.
Wisebric connects model configuration, request handling, failover, and usage tracking through one managed gateway.
Add provider credentials for OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, and other available providers, or connect catalog-supported models through Ollama.
Configure model defaults for advanced reasoning, fast reasoning, vision, embeddings, and transcription.
Check model capabilities before execution, including tool use, image input, structured output, and response limits.
For supported chat and transcription operations, Wisebric can retry or move to another provider serving the same model when a provider fails.
Capture token usage, provider details, and response time for model operations.
Wisebric provides the capabilities needed to operate multiple AI providers through a common enterprise model gateway.
Choose Models for Different AI Needs.
Assign models to defined roles such as advanced reasoning, fast reasoning, vision, embeddings, and transcription.
Authorized administrators manage company-wide model defaults without changing application code.
Keep AI Operations Running During Provider Disruptions.
Wisebric automatically retries supported requests or switches to another available provider when failures occur.
Circuit breakers and overload protection help maintain reliable AI operations.
Available for supported chat and transcription operations.
Use the AI Providers Your Organization Trusts.
Connect provider accounts through centralized credential management.
Enable or disable providers and select a preferred provider for each model role.
Run catalog-supported open models through an Ollama server.
Match Requests With Model Capabilities.
Wisebric checks whether the selected model can handle the requested operation, including tool calling, image input, structured output, and output length requirements.
This helps prevent requests from being sent to models that cannot perform the required task.
Understand How Your AI Infrastructure Is Used.
Record token consumption, provider information, and response times across AI operations.
Usage records can be associated with users, workspaces, applications, and agents.
Explore detailed usage reporting through Wisebric Monitoring and Analytics.
Add Visibility and Protection to Model Operations.
Apply configured sensitive-content redaction to outbound chat requests.
Maintain audit records for changes to provider credentials and model-role assignments.
When failover is possible, Wisebric switches providers serving the selected model rather than silently replacing it with another model.
Streaming failover takes place before an answer begins. Wisebric does not combine a partially streamed answer with output from another provider.
Circuit breakers help prevent repeated attempts against providers experiencing persistent failures.
Unsuccessful attempts are recorded as failures and are not counted as successful model usage.
Wisebric's model gateway provides a common foundation for AI conversations, assistants, agents, workflows, and specialized AI operations.
The Right Model for the Conversation.
Use configured model roles for everyday questions, advanced reasoning, and other chat requirements.
Explore ASKConsistent Models Across Assistant Experiences.
AI assistants use centrally managed model defaults, helping organizations maintain a consistent model configuration across assistant experiences.
Explore ASSISTModel Access for Multi-Step Operations.
Agents use the gateway for model-powered tasks, with retry and failover behavior available where the operation supports it.
Explore EXECUTEChoose Models for Workflow Steps.
Workflow steps can use centrally configured role defaults or explicitly selected models for particular tasks.
Explore Workflow OrchestrationPower Meeting Transcription and Understanding.
The gateway supports transcription operations, including handling larger recordings through audio chunking and translation to English.
Explore Meeting IntelligenceConsistent AI-Powered Knowledge Retrieval.
Use managed embedding models to search enterprise knowledge.
Maintain consistent embedding configurations across knowledge sources for reliable retrieval.
Explore Enterprise KnowledgeManaging enterprise AI requires more than connecting model APIs.
Wisebric provides an administrative console for managing provider connections, assigning model roles, reviewing routing behavior, and tracking configuration changes.
Connect provider credentials, test connection configuration, and enable or disable providers.
Select the default model for each role and choose a preferred provider where the configuration allows it.
View routing rules and failover policies, and review audit records showing changes to provider credentials and model assignments.
Yes. Wisebric connects to providers including OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Google Gemini, Groq, and DeepInfra. It also supports catalog-listed models through Ollama.
For chat and transcription operations that support failover, Wisebric can retry the request or use another provider serving the same model.
Failover does not automatically substitute a different model.
Authorized platform administrators can configure default models for defined roles such as advanced reasoning, fast reasoning, vision, embeddings, and transcription.
Workflow steps can also use explicitly selected models.
Yes. Wisebric supports connecting provider credentials through centralized administration.
No. The current gateway uses configured model roles, provider selection rules, and failover behavior.
Automatic cost-based or latency-based model optimization is not part of the current capability.
Yes. Wisebric records token consumption, response time, and provider information for model operations.
Detailed reporting is available through the relevant usage and monitoring interfaces.
Model Gateway & Routing works with Wisebric's broader platform capabilities to support practical, connected AI experiences.
Connect organizational knowledge with AI-powered information retrieval and semantic search.
Explore Enterprise KnowledgeBring enterprise data and available business tools into connected AI experiences.
Explore Enterprise IntegrationsBuild and configure AI assistants using centrally managed models, knowledge, and available skills.
Explore AI StudioUnderstand AI usage, operational activity, and consumption across the platform.
Explore Monitoring and AnalyticsConnect the AI providers your organization trusts, manage model selection centrally, and recover from provider failures through one enterprise model gateway.
Give your AI experiences a flexible foundation as your organization's needs evolve.
Multiple providers. Consistent model selection. Centralized control.