What is Merge?
Merge is an AI integration platform that connects products and agents to external APIs, enterprise tools, and LLMs through a single infrastructure layer. It covers three distinct functions: syncing customer data across hundreds of third-party systems via a Unified API, giving agents authenticated access to enterprise app connectors through Agent Handler, and routing LLM requests across providers through a managed Gateway. Engineering and product teams use Merge to ship customer-facing integrations, deploy governed agents, and manage model usage without building or maintaining the underlying connections. The platform is designed for both the products companies ship externally and the internal AI tools their teams run.
Features & Benefits
- Unified API: connect to hundreds of third-party systems through a single API to access customer data across accounting, ATS, CRM, file storage, HR, and ticketing categories without building separate integrations for each.
- Agent Handler: give AI agents authenticated access to thousands of enterprise app connectors so they can take actions across your users’ systems, with scoped permissions and audit logs for compliance reviews.
- LLM Gateway: route every model request to the best available provider based on cost, task complexity, and performance requirements, with automatic fallback when a provider goes down.
- Integration Observability: monitor every sync, API call, and agent action in real time with tooling that surfaces issues across all connected systems.
- Managed Connectors: access always-maintained, always-updated connectors so engineering teams never handle connector upkeep directly.
- Common Data Models: normalize data across different third-party systems into standardized models so the product works consistently regardless of which integration the customer uses.
- Customization: extend common models and field mappings to support data requirements beyond the normalized defaults.
- Real-Time Data: sync customer data continuously so products and agents work from current information rather than stale snapshots.
- Embeddable UI Component: surface an integration connection interface directly inside your product so end users can connect their accounts without leaving your app.
- Auto-Provisioning: assign onboarding workflows and permissions automatically using real-time HR employee data from connected HRIS integrations.
- Spend and Performance Controls: set limits and visibility rules on every LLM call through the Gateway to manage model costs across the organization.
- Enterprise Agent Governance: manage how employees connect AI tools to third-party systems with org-wide controls, SSO, and fine-grained access permissions.
- Security and Compliance: SOC 2 Type II, ISO 27001, HIPAA, and GDPR certified, with enterprise-grade security built into the platform foundation.
What can Merge do?
- Connect a SaaS product to hundreds of HRIS, CRM, and ATS systems through one API
- Give an AI agent authenticated access to enterprise apps
- Route LLM requests across providers based on cost and performance
- Sync customer data continuously into a RAG application
- Auto-provision employee onboarding using real-time HR data
- Monitor integration activity and flag sync errors in real time
- Govern how employees connect AI tools to internal systems
- Normalize data across third-party integrations into common models
- Add fallback model routing when an LLM provider goes down
- Reconcile vendor or customer payments using connected accounting data
- Embed an integration connection UI inside a product interface
Real-World Applications
A SaaS company selling into enterprise accounts may need to support dozens of HRIS or CRM integrations to close deals. Merge’s AI integration layer lets one engineering build cover all of them through a single API, so the product works with whatever system a customer already runs without custom connector work for each one.
AI product teams building enterprise search or RAG applications can use Merge to continuously pull fresh data from customers’ connected systems into their pipeline. The AI integration infrastructure handles auth and sync maintenance, so the product always queries current data without the team managing individual connectors.
Organizations deploying internal AI agents may need those agents to take actions across Slack, Google Drive, Jira, Salesforce, and other tools their teams already use. Merge Agent Handler provides the connectors and governance layer, so IT teams can deploy agents at scale while maintaining scoped permissions and audit trails for compliance.
Teams managing LLM costs across a product may need different requests routed to different models depending on task complexity and budget. Merge Gateway handles that routing automatically, with spend controls and performance visibility on every call and fallback coverage when a provider has an outage.
