Phloem provides an on-premise test automation and data platform for hardware engineering teams, unifying device discovery, live monitoring, deterministic test sequencing, and synchronized replay in a single timeline. It automatically connects DAQ units, SCPI instruments, PLCs, and CAN buses without configuration files, enabling engineers to run tests offline and analyze results with AI-assisted root cause analysis. The platform is designed for teams that need to iterate on hardware with software-like speed and traceability.
Funding
Funding not disclosed
Founders
Product
Problem
Hardware engineering teams face fragmented tooling for test execution, data acquisition, and analysis, forcing them to manually configure drivers, align time-stamped data from disparate sources, and recreate test conditions to debug issues. This slows iteration cycles and makes it difficult to understand root causes when tests deviate from expectations.
Solution
Phloem is a hardware-testing platform that connects any bench equipment—DAQ units, SCPI instruments, PLCs, and CAN buses—automatically, with zero configuration files or driver hunting. It provides a unified timeline for live monitoring of telemetry, video, and point clouds, and enables deterministic test sequences with local safety loops and abort conditions that run even offline. After a run, engineers can replay synchronized data, compare against historical results, and use an AI agent to ask plain-language questions that return answers backed by evidence from test history. Phloem deploys entirely within a company's infrastructure, keeping data on-site and supporting offline-first operation.
Target Audience
Phloem is built for hardware engineering teams in industries like aerospace, robotics, and industrial automation that conduct complex test campaigns and need repeatable, data-rich results for rapid iteration.
Features
- Automatic device discovery for DAQ systems, SCPI instruments, LabJack, Ethernet/IP PLCs, and CAN networks with named, typed channels and units
- Real-time visualization of telemetry, video, and point clouds on one synchronized timeline without manual clock alignment
- Deterministic test automation engine with local safety loops (250 ms response), abort conditions, and offline execution capabilities
- Synchronized run replay with event logging and comparison against historical runs to identify configuration or signal changes
- AI-powered root cause analysis that cites specific runs, configuration diffs, and tags as evidence for its answers
- On-premise deployment with optional cloud sync, requiring no internet connection for core operations
- A "Trellis" engine for writing test stand logic in code, with a safety loop that trips outputs to safe state in milliseconds