Hardware/IOT
experience
Plank teams have delivered AI-enabled solutions across hardware and IoT domains including high-throughput sensor data ingestion and normalization, edge AI-powered on-device intelligence, adaptive operator workflow interfaces, real-time fault detection and process monitoring, and scalable cloud-to-edge infrastructure for large distributed deployments.
Sensor Data Ingestion and Normalization
- Built pipelines to ingest telemetry from a wide range of devices, including industrial sensors, PLCs, and embedded hardware.
- Applied schema standardization, time alignment, and loss-aware compression to prepare real-time data for downstream use.
- Enabled high-throughput streaming with APIs and integrations to feed analytics dashboards and control systems.
Edge AI and On-Device Intelligence
- Deployed lightweight machine learning models on edge hardware to enable real-time perception, anomaly detection, and control.
- Supported hybrid inference pipelines that prioritize on-device decisions with cloud-based fallbacks.
- Designed secure update and rollout systems for model distribution across device fleets.
Operator Interface and Workflow Tools
- Developed responsive interfaces and mobile tools that guide users through data-rich processes like setup, maintenance, or calibration.
- Connected device state with operator instructions, using AI to adapt steps dynamically based on context and input.
- Versioned workflows and tracked execution for accountability, audit, and process optimization.
Fault Detection and Process Monitoring
- Implemented real-time monitoring systems using streaming feature extraction and alert pipelines.
- Built rule-based and ML-based detectors to catch signal anomalies, operating threshold violations, or degradation over time.
- Integrated outputs with alerting and ticketing tools to close the loop with operators or engineers.
Scalable Cloud and Hybrid Infrastructure
- Engineered systems for secure, resilient operation across cloud, edge, and hybrid environments.
- Used event-driven architectures, isolated data planes, and autoscaling compute to support large and distributed deployments.
- Applied infrastructure security best practices aligned with SOC-2 and ISO standards.
Compliance, Support, and Lifecycle Management
- Enabled audit-friendly operations with traceability across firmware, models, logs, and workflows.
- Delivered update pipelines for firmware, software, and models with staged deployment support.
- Provided ongoing support and uptime guarantees for always-on systems in regulated and operationally critical environments.
Customer Showcase
Artyc
Artyc is a Climate Capital backed IoT company that has developed an advanced battery-powered, reusable temperature controlled shipping container with IoT-enabled cooling and real-time monitoring - designed for precise, secure transport of temperature-sensitive materials like vaccines, vials, and medicines.
Cargo Robotics
Cargo is building an AI-first robotics delivery platform - an automated warehouse on wheels. They are reimagining the delivery vehicle, featuring custom-built vans powered by advanced perception, motion planning, package optimization, and fleet management algorithms.
Engineers we’ve worked with
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