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AgentFlow
Enterprise

Build, deploy, and manage AI agents with enterprise-grade security, private deployment options, and an extensible tool registry. Complete control over your data and infrastructure.

Dataverses AgentFlow Enterprise platform for building and deploying enterprise AI agents

Enterprise Features for AI Agents

Built for organizations that need reliability, scalability, and enterprise-grade infrastructure

TOOL REGISTRY

Extensible Tool Ecosystem

Pre-built Tool Library

Access a comprehensive library of pre-built tools for common tasks including API integrations, data processing, and workflow automation. Quickly extend agent capabilities without building from scratch.

Custom Tool Development

Build and register custom tools tailored to your specific needs. Support for Python, JavaScript, and REST APIs with version control and dependency management built-in.

Community Marketplace

Discover and share tools from the community. Browse verified tools, contribute your own, and collaborate with other developers to expand the ecosystem.

Extensible Tool Ecosystem
PRIVATE DEPLOYMENT

Deploy Anywhere, Your Way

Private Cloud Deployment

Deploy agents in your private cloud infrastructure with complete data sovereignty and network isolation. Perfect for organizations requiring air-gapped environments, strict compliance, and full control over data residency.

Cloud VPC Options

Deploy in your own cloud VPC with full network isolation. Integrate seamlessly with existing cloud infrastructure while maintaining security boundaries.

Kubernetes & Containers

Native support for Kubernetes and containerized deployments. Scale agents independently with auto-scaling, load balancing, and resource management.

Deploy Anywhere, Your Way
STREAMING DATA LAKEHOUSE

Built on Streaming Data Lakehouse

Real-Time Data Access

Agents connect directly to your streaming data lakehouse, accessing live data with sub-100ms query latency. No data movement or ETL delays—agents work with the most current information instantly.

Infinite Scalability

Built on Apache Kafka, Spark, and Flink infrastructure that automatically scales to handle billions of events daily. Your agents grow seamlessly with your data volume without performance degradation.

Production-Ready Reliability

Enterprise-grade infrastructure ensures 99.9% uptime with automatic failover, data replication, and disaster recovery. Your agents run on battle-tested infrastructure trusted by leading enterprises.

Built on Streaming Data Lakehouse
MONITORING & EVALUATION

End-to-End Monitoring & Evaluation

Multi-Method Evaluation

Evaluate agents using multiple approaches including predefined scorers, LLM-as-a-judge, and agent-as-a-judge. Combine automated evaluation methods to get comprehensive performance insights from different perspectives.

Human Feedback & Metric Monitoring

Incorporate human feedback loops alongside automated metric monitoring. Track key performance indicators, user satisfaction, and business metrics in real-time dashboards for continuous improvement.

Prompt Optimization

Automatically optimize agent prompts based on evaluation results. Test different prompt variations, measure their impact on performance, and deploy the most effective configurations to improve agent accuracy and efficiency.

End-to-End Monitoring & Evaluation

Real-World Use Cases

See how organizations leverage AgentFlow Enterprise's security, deployment flexibility, and extensible tools to transform their operations

Enterprise Knowledge Management
A financial services firm deployed an AI agent that answers complex compliance questions by querying internal documentation, regulatory guidelines, and historical case data. Deployed on-premises for data security, the agent reduced support ticket volume by 60% with 95% accuracy.
  • •60% reduction in support tickets
  • •95% accuracy rate
  • •On-premises deployment
  • •SOC 2 compliant
Customer Support Automation
An e-commerce platform built an agent that handles customer inquiries, order status checks, and returns processing. Using custom tools integrated with their CRM and inventory systems, the agent processes over 10,000 queries daily with 200ms average response time.
  • •10,000+ queries daily
  • •200ms response time
  • •Custom tool integrations
  • •40% satisfaction increase
Development Workflow Automation
A software company created agents that automate code reviews, generate documentation, and manage pull requests. Deployed in their private cloud VPC, these agents integrate with GitHub, Jira, and Slack using tools from the registry, saving 15+ hours per week.
  • •15+ hours saved weekly
  • •Private VPC deployment
  • •Multi-tool integration
  • •Automated workflows
Data Analysis & Reporting Agents
A healthcare provider built agents that analyze patient data, generate reports, and answer clinical questions. With HIPAA-compliant security and on-premises deployment, the agents ensure patient data never leaves their infrastructure while providing instant insights.
  • •HIPAA compliant
  • •On-premises deployment
  • •Real-time insights
  • •50% faster reporting

Related Resources

Learn how to build, deploy, and secure enterprise AI agents through comprehensive guides, tutorials, and real-world examples.

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Frequently Asked Questions

Everything you need to know about AgentFlow Enterprise's security, deployment, and extensibility features

AgentFlow Enterprise supports multiple deployment options including on-premises, private cloud VPC, and hybrid architectures. You can deploy agents entirely within your own infrastructure for complete data sovereignty, or use cloud VPC options with full network isolation. All deployment options support Kubernetes and containerized environments.

The Tool Registry provides access to a library of pre-built tools for common tasks, plus the ability to build and register custom tools. Tools can be written in Python, JavaScript, or exposed via REST APIs. The registry includes version control, dependency management, and a community marketplace where you can discover and share tools with other developers.

AgentFlow Enterprise includes enterprise-grade security with support for SSO, SAML 2.0, OAuth 2.0, and LDAP authentication. Role-based access control (RBAC) ensures granular permissions, while comprehensive audit logging helps meet compliance requirements. All data is encrypted at rest and in transit, with support for customer-managed encryption keys.

Yes, AgentFlow Enterprise fully supports air-gapped deployments. You can deploy the entire platform on-premises without any external connectivity requirements. All features including the Tool Registry, agent management, and monitoring work completely offline once deployed.

You can build custom tools using Python or JavaScript, or expose existing services via REST APIs. Tools are registered in the Tool Registry with version control and dependency management. Once registered, tools are immediately available to all your agents. The platform provides SDKs and documentation to simplify tool development.

AgentFlow Enterprise is designed to help you meet various compliance requirements including SOC 2, HIPAA, GDPR, and others. The platform includes built-in compliance frameworks, comprehensive audit logging, data encryption, and access controls. For specific certifications, contact our team to discuss your requirements.

Private deployment runs entirely within your infrastructure, giving you complete control over data and network security. Cloud VPC deployment runs in your own cloud account with network isolation, while still leveraging cloud scalability. Both options provide the same features and capabilities—the choice depends on your security and compliance requirements.

Yes, the community marketplace includes verified tools that have been tested and reviewed. Each tool includes version information, documentation, and usage examples. You can review tool source code, test tools in development environments, and use them in production with confidence. Custom tools you build can also be shared with the community if desired.

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