Merge
Merge provides connective infrastructure for production AI, enabling developers to build and scale AI products by managing integrations, agentic tooling, and LLM model routing through a single platform.
Merge is a connective infrastructure platform designed to accelerate the development of AI and SaaS products. By providing a unified layer for integrations, agentic tooling, and LLM optimization, Merge enables engineering and product teams to ship features faster and manage production scale without the burden of complex infrastructure maintenance. The platform serves as an essential bridge between software applications and the vast ecosystem of third-party APIs, tools, and language models they require to function effectively.
Functionally, Merge acts as a centralized hub that handles data syncing, agent infrastructure, and intelligent model routing. Instead of building and maintaining individual integrations, companies use Merge’s unified APIs to gain access to hundreds of connectors. For AI agents, the platform offers secure, scoped access to tools, allowing for autonomous operations within enterprise guardrails. Furthermore, its LLM Gateway optimizes model performance by managing routing, governance, and cost visibility across various providers.
Some of the key features are:
- Unified API: Access hundreds of customer-facing integrations across accounting, ATS, CRM, file storage, HRIS, and ticketing categories through a single, consistent API interface.
- Agent Handler: Connect AI agents to thousands of pre-built tools with built-in authentication, permission management, and secure tool interaction logging.
- LLM Gateway: Route requests intelligently across multiple LLM providers to balance cost, reliability, and performance with full visibility and governance.
- Integration Observability: Monitor integration health in real-time with automated issue detection, searchable activity logs, and actionable webhooks.
- Connector Studio: Modify existing connectors or import public Model Context Protocol (MCP) servers to customize agentic tool capabilities.
- Enterprise Security: Adhere to rigorous industry standards including SOC 2 Type II, ISO 27001, HIPAA, and GDPR to safeguard sensitive customer data.
- Selective Sync and Minimization: Configure precise data syncing scopes to ensure that only necessary information is shared, enhancing data privacy and control.
- Evaluation Suite: Test and validate tool performance and outcomes before deployment to ensure production-ready quality.
Operationally, Merge is integrated into the product architecture to handle the 'plumbing' of external connectivity. Developers build against Merge’s standard APIs, while the platform’s infrastructure handles the underlying complexities of auth flows, rate limiting, and data transformation for each third-party provider. This approach allows teams to treat integration management as a simple, automated process rather than a manual, engineering-intensive burden, effectively turning integrations from a development bottleneck into a strategic product advantage.
Some common use cases include:
- Fueling Enterprise Search: Continuously sync customer data into RAG-based applications to provide fast, accurate, and relevant search results.
- Enabling Autonomous Agents: Empower AI agents to perform real-world actions like creating tickets, updating CRM records, or managing background processes.
- Automated Provisioning: Streamline user onboarding by automatically assigning permissions and provisioning access based on real-time HR system data.
- Financial Reconciliation: Automatically synchronize transaction and invoice data between products and accounting platforms to simplify complex billing workflows.
- Project Status Analysis: Improve team efficiency by pulling and visualizing ticketing data from various project management systems to provide deep operational insights.
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