Industrial Edge Automation
Smart Raven turns manual benches into intelligent edge stations — real-time test execution, AI-assisted quality checks, and audit-ready data, all processed locally on the line.
What We Do
We start with your existing bench constraints and deliver measurable gains in throughput, traceability, and compliance — without a heavy centralized stack.
A hardware-agnostic edge runtime with deterministic sampling, SQL logging, and report-ready outputs.
Motor, battery, drive cycle, EOL, AI vision, and telecom modules run on the same configurable engine.
Audit logs, version traceability, and controlled workflows aligned with ISO/IEC-heavy industries.
See It In Action
Scripted torque-speed runs, real-time telemetry, and report-ready output — the Smart Raven station interface used on EV, powertrain, and manufacturing benches.






Modules
Every module is framed around a real customer problem, a measurable solution path, and an ROI outcome.
Problem: Manual torque-speed validation is inconsistent and slow.
Solution: Automated ramp/hold scripts, limit checks, and repeatable run IDs.
ROI: Cut debug and retest cycles by standardizing every run.
Problem: Cycle profiles and safety checks are difficult to scale.
Solution: CC/CV profiles, thermal hooks, and event-based abort logic.
ROI: Reduce lab supervision load and improve traceability.
Problem: Drive-cycle compliance requires precise repeatability.
Solution: Scripted cycle execution with synchronized data and reports.
ROI: Faster compliance-ready testing with fewer reruns.
Problem: End-of-line checks bottleneck under throughput pressure.
Solution: Barcode/serial workflows and pass-fail enforcement at the station.
ROI: Higher first-pass yield and reduced line downtime.
Problem: Manual visual validation misses subtle defects.
Solution: On-device AI inference running locally at the edge.
ROI: Better quality decisions without cloud dependency.
Problem: RF/PCB testing often needs expensive bespoke software.
Solution: Configurable test sequences with protocol adapters and logging.
ROI: Lower CapEx barrier for SMEs and mid-volume labs.
Problem: EV and vehicle teams need custom digital clusters, but bespoke development is slow and costly.
Solution: End-to-end digital instrument cluster design — UI/UX, embedded firmware, CAN/signal integration, and display hardware.
ROI: Production-ready clusters tailored to your vehicle, faster.
Why Edge Matters
For test rigs and factory stations, local compute reduces latency, protects sensitive data, and stays resilient when networks are unstable.
| Decision Criteria | Smart Raven Edge Approach | Traditional Stack |
|---|---|---|
| Decision latency | Local edge execution for real-time response | Centralized or heavy lab stack delays |
| Operating cost | Lower cloud usage and right-sized bench hardware | High license + infrastructure overhead |
| Data security | Data remains local with selective sync | Sensitive data often leaves site |
| Resilience | Offline-first operations at factory and lab | Connectivity or server dependency |
Industries We Serve
Tailored workflows for each sector without rebuilding the stack every time.
Motor and inverter validation, battery profiles, drive-cycle traceability, and custom digital instrument cluster design — repeatable automation with standards-aware reporting.
Edge processing for production diagnostics, IIoT telemetry, and predictive maintenance hooks to cut unplanned stoppages.
Calibration rigs, controlled test records, and AI-assisted visual checks aligned with ISO 13485 / IEC 62304 practices.
Signal integrity, PCB functional test automation, and ATE-style workflows — modular software instead of heavy proprietary stacks.
Free Engineering Tools
Quick, accurate utilities mechanical and manufacturing engineers use daily — free to use, no signup. A small thank-you to the community, and a taste of the precision behind our platform.
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Bring one current pain point — cycle time, traceability, manual reporting, or integration complexity — and we'll map a practical edge rollout and pilot scope.