Connect SAP S/4HANA, MES, WMS, and Salesforce Manufacturing Cloud. A single integration layer, securely deployed in your cloud, connected to the factory floor.
Production, inventory, and logistics data flows live into your analytics platform.
Cloud analytics and on-premises systems share data through zero-trust access.
AI models query live production data and trigger workflows through existing pipelines.
“With Digibee, we reduced both the time and cost of our integration process by at least 30%. Furthermore, we significantly simplified the landscape of our SAP program and legacy systems.”

Transition from SAP ECC to S/4HANA Cloud without production interruptions or project delays.
Integrate Salesforce, SAP, and WMS to automatically process orders, activate fulfillment, and reconcile invoices.
Synchronize SAP Ariba, ERP, and supplier systems across the entire purchasing cycle without manual steps.
Convert production pipelines into accessible tools for AI agents to utilize.
Transfer IoT sensor and MES information to Snowflake or Databricks using zero-trust network connectivity.



With fail-safe workflows, unified agent development, and managed updates, you can focus on what you’re building.
Simple, consumption-based pricing just like your cloud provider. No complicated add-ons.
AI acceleration combined with a flexible, low-code developer experience and seamless deployment.
SAP-native tools are optimized for SAP-to-SAP flows but require separate platforms for non-SAP systems. An integration platform (also known as "iPaaS" for "integration platform as a service") connects SAP alongside every other system—Salesforce, WMS, IoT analytics, and CRM. The Digibee integration platform offers drag-and-drop connectors that reduce technical complexity in connecting to leading market solutions.
ZTNA (Zero Trust Network Access) creates an outbound-only connection from the factory system to the cloud—no inbound firewall ports required. Each connection is verified at the application layer, not the network layer, so security teams grant precise access without broad VPN exposure.
Total cost of ownership is the most commonly underestimated factor. Per-environment connector fees can multiply costs 5x before a single pipeline runs in production. Model your full environment count (Dev, Test, Staging, Prod, DR) against per-connector pricing before committing. Time-to-first-pipeline, migration support, and ZTNA vs. VPN architecture are criteria worth testing in a proof-of-concept. Also consider the platform's architecture. Distributed models with process isolation tend to provide more reliable performance than platforms in which workflows share processors.
SOC 2 Type II, GDPR, and LGPD are baseline certifications for general manufacturing environments. Review the platform's specific certification status with the vendor. Requirements vary significantly by product type and customer geography.
Three capabilities determine whether a platform can sustain high-volume manufacturing workloads: parallelism, load balancing, and auto-scaling. Parallelism allows simultaneous sensor streams to be processed concurrently. Load balancing distributes that traffic across pipeline instances so no single process becomes a bottleneck. Auto-scaling adjusts capacity dynamically, spinning up during production runs and scaling to zero during idle periods to avoid unnecessary cost.
Three metrics. One dashboard. No surprises.
Release notes and updates from the Digibee team.
Outbound-only HTTPS. No firewall changes. Connected to the mainframe on day one.