Frequently Asked Questions

Yes. relim.ai is the new name of EdgeData360. The same team, the same platform and the same customer relationships continue under the relim.ai brand. The rebrand reflects the platform's evolution from edge data collection to full-stack enterprise AI and DataOps.

The EdgeData360 name reflected the platform's origins in edge data collection. As the platform expanded to cover full enterprise DataOps, agentic AI, and governed data pipelines from OT to cloud, the relim.ai brand better represents what the platform actually delivers today: reliable AI, without limits.

Yes. All existing accounts, data, contracts, and integrations continue to work without any action required. Contact us at hello@relim.ai if you have any questions about your account during the transition.

relim.ai (formerly EdgeData360) is an enterprise AI and DataOps platform that helps industrial and enterprise teams connect 250+ data sources, build real-time edge-to-cloud pipelines, and deploy agentic AI — without exposing sensitive data to external systems. It serves Manufacturing, Financial Services, Healthcare, Retail and other sectors and is headquartered in San Jose, CA.

Relim.AI runs on standard x86-64 or ARM64 hardware. Minimum requirements include 4GB RAM, 2 CPU cores, and 20GB storage. For production workloads, we recommend 8GB RAM, 4 cores, and 50GB SSD storage. The platform is optimized for resource-constrained environments and can run on industrial PCs, edge gateways, or virtual machines.

Yes. Relim.AI is specifically designed for air-gapped and intermittent connectivity scenarios. The platform supports fully offline deployments with local buffering, data synchronization when connectivity is restored, and local management capabilities. Cloud connectivity is optional and can be configured based on your security requirements.

Deployment timelines vary based on scope. A proof-of-concept typically takes 1–2 weeks, a production pilot 4–6 weeks, and full enterprise rollout 2–4 months depending on facility count and integration complexity. Our professional services team provides accelerated deployment options.

We maintain SOC 2 Type II and ISO 27001 certifications, and are FDA 21 CFR Part 11 compliant for pharmaceutical and life sciences applications. Edge deployments support TLS 1.3 encryption, AES-256 encryption at rest, role-based access control (RBAC), and comprehensive audit logging for compliance requirements.

All data is encrypted using AES-256 encryption at rest and TLS 1.3 in transit. Edge-to-cloud communication uses mutual TLS (mTLS) authentication with automatic certificate rotation. Encryption keys are managed using industry-standard key management systems with support for customer-managed keys.

Yes. Enterprise deployments include complete tenant isolation with separate databases, encryption keys, and configurable data residency policies per facility or business unit. Each tenant can have independent access controls, compliance settings, and integration configurations.

We support 20+ protocols out-of-the-box including OPC UA, Modbus TCP/RTU, MQTT/Sparkplug B, EtherNet/IP, Profinet, BACnet, DNP3, S7, and more. Custom protocol adapters can be developed using our SDK. Each protocol connector includes automatic tag discovery, data type mapping, and error handling.

Our visual pipeline builder includes built-in protocol translators with automatic schema mapping, allowing seamless data transformation between industrial and enterprise protocols. The system handles data type conversions, timestamp normalization, and quality codes automatically while maintaining full traceability.

Yes. Relim.AI provides native connectors for major enterprise systems including SAP, Oracle, Rockwell, Siemens, and others. We support both real-time streaming and batch integration patterns, with configurable data transformation and business logic execution.

Relim.AI supports all major cloud platforms including AWS, Azure, Google Cloud, and private cloud deployments. We provide native integrations with cloud-native services like AWS IoT Core, Azure IoT Hub, and cloud data warehouses for seamless hybrid architectures.