Case Studies

Selected work showcasing our expertise in building complex systems across edge computing, distributed platforms, and AI automation.

Industrial IoT

PowerIQ Edge Agent

The system functions as a reliable edge computing layer that: - Prevents data loss through buffered storage - Supports ...

99.9%

uptime

100%

data integrity

10+

protocols supported

Edge ComputingIndustrial IoTReal-time DataOTA Updates

Challenge

The challenge was not just data collection — it was guaranteed data integrity and system reliability at the edge. This required solving: - Handling multiple industrial protocols consistently - Ensur...

Solution

Relayforge designed the system as a pipeline-driven edge runtime. **Protocol Abstraction Layer** Unified support for Modbus (TCP/RTU), BACnet, and PLC integrations. This avoids fragmented integratio...

Outcome

The system functions as a reliable edge computing layer that: - Prevents data loss through buffered storage - Supports multiple industrial systems via protocol abstraction - Scales across deployments...

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Distributed Systems

SentraZero

The system operates as a distributed compute platform capable of: - Executing arbitrary workloads safely through sandbo...

99.95%

uptime

1M+

plugins executed

500+

agents coordinated

Distributed SystemsPlugin ArchitectureCloudExecution Engine

Challenge

The primary challenge was not execution — it was safe, scalable, and extensible execution. This required solving: - Executing untrusted workloads without compromising system integrity - Coordinating...

Solution

Instead of building a queue-based worker system, Relayforge designed a platform-oriented architecture with clearly separated responsibilities. **Control Plane** A centralized orchestration layer res...

Outcome

The system operates as a distributed compute platform capable of: - Executing arbitrary workloads safely through sandboxing - Scaling across multiple devices via the execution layer - Supporting plug...

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AI Automation

AI Outbound Engine

The system operates as an autonomous outbound engine that: - Continuously generates leads through multi-source discover...

120hrs/mo

time saved

50K+

leads processed

+340%

response rate increase

AI AgentsSales AutomationWorkflowRevenue Tech

Challenge

The challenge was not sending emails — it was building a system that can operate the entire outbound lifecycle autonomously. This required solving: - Continuous lead discovery - Structured qualifica...

Solution

Relayforge designed a hybrid architecture combining deterministic workflows with AI-driven decision layers. **Discovery Layer** Multi-source ingestion system including Apollo, Apify, and custom sour...

Outcome

The system operates as an autonomous outbound engine that: - Continuously generates leads through multi-source discovery - Executes outreach campaigns via the state machine pipeline - Processes repli...

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