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CalabashAI

CalabashAI is an enterprise-grade runtime and governance layer for AI agents. It lets teams build agents, connect systems, and orchestrate workflows—so you can deploy intelligent automation inside your existing stack with full control.
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enterprise AI agent platformAI agent infrastructuremulti-agent workflow orchestrationAI integration for enterprise systemson-prem AI agent deploymentLLM tool-calling frameworkAI agent governance & audit

Features of CalabashAI

Runtime for model orchestration, prompt execution, and state management
Built-in tool/skill framework to register APIs, scripts, and micro-services
Native connectors for SQL, ERP, CRM, data warehouses, and internal APIs
Fine-grained RBAC, SSO, query validation, and tamper-proof audit logs
Multi-model abstraction with smart routing, fallback, and cost tracking
Multi-agent collaboration, tool-chain orchestration, and long-running tasks
Full observability: execution logs, prompt traces, latency & cost metrics
Cloud SaaS, private-cloud, or air-gapped on-prem deployment options

Use Cases of CalabashAI

When agents need to call internal APIs or databases, CalabashAI acts as a unified runtime and secure connector
Business teams automate cross-system processes by orchestrating multiple agents and tools in one flow
IT enforces AI governance by capturing every prompt, query, and policy decision in an audit trail
Regulated industries deploy AI behind their own firewall or in a sovereign cloud to meet compliance
ML engineers route traffic across models, set fallbacks, and monitor spend from a single control plane
Legacy scripts and services are wrapped into reusable tools that any agent can invoke
Ops tracks agent health, cost spikes, and SLA breaches through live dashboards and alerts

FAQ about CalabashAI

QWhat is CalabashAI?

CalabashAI is an enterprise AI-agent infrastructure layer that lets you build, deploy, and govern intelligent agents that safely interact with your internal systems.

QWhich enterprise AI pain-points does it solve?

It tackles system connectivity, secure exposure of business logic, agent governance & audit, and friction-free integration with existing infrastructure.

QWhich enterprise systems can it connect to?

Out-of-the-box connectors for SQL databases, ERP, CRM, data warehouses, internal APIs, and major cloud services.

QWhat deployment options are available?

Cloud SaaS, customer-managed private cloud, and fully air-gapped on-prem.

QDoes it support multiple models?

Yes—its model-abstraction layer offers multi-model routing, automatic fallback, and cost monitoring across any LLM provider.

QWhat governance and audit features are included?

Role-based access control, SSO, query allow-lists, immutable audit logs, policy enforcement, and real-time execution monitoring.

QWhich teams typically use CalabashAI?

Platform engineering, data, and business-automation teams that need to run AI agents inside the enterprise securely and at scale.

QIs pricing or a free tier published?

No public pricing is shown on the current page; contact the vendor for a custom quote.

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