> For the complete documentation index, see [llms.txt](https://bee-partners-1.gitbook.io/bee-the-machine-to-machine-learning-vector/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://bee-partners-1.gitbook.io/bee-the-machine-to-machine-learning-vector/wave-1/wave-1-opportunity-areas/automating-and-roboticizing-stodgy-industries.md).

# Automating & Roboticizing Stodgy Industries

**Robotic Process Automation (RPA)**

RPA represents metaphorical software robots, fueled by data efficiencies that result in  optimization of repetitive processes, like Bee portfolio company [Glide Health](https://glidehealth.com/) automating back-office claim coding.<br>

**Optimizing an Existing Workflow to more efficiently Acquire and Normalize Data**

This expedites the production of digital twins to support diverse uses cases across QA, speed, safety, flexibility and predictive maintenance. Bee portfolio company, [Skycatch](https://skycatch.com/), offers turnkey digital-twins as a service leveraging off-the-shelf drones via a partnership with renowned drone-maker [DJI](https://www.dji.com/).<br>

**Mechanization of Prevalent, Procedural and Time-Consuming Tasks**&#x20;

Error-prone tasks (e.g. machine tending, labeling) performed by humans can lead to a defensible, eminently transferable lego-like library of workflows (for example, Bee portfolio company [Rapid Robotics](https://www.rapidrobotics.com/) leverages a highly extensible task library - learn more in our [Case Study](/bee-the-machine-to-machine-learning-vector/insights/case-study-rapid-robotics.md)).<br>

**“First Principles” System Design Thinking**

[CHEP pallets](https://www.chep.com/us/en/services-solutions) is a perfect example - they built a slightly pricier pallet and switched to a rental model to create step change improvements in efficiency beyond any one task and instead across an entire network. This is a compelling approach due to the associated outsized financial returns.

**Augmenting Manual Tasks with Technology**

Augmenting manual tasks to boost productivity or accuracy enables startups to frame solutions seamlessly into existing high ROI workflows and avoid the build vs. buy conundrum. Examples  include identifying shop floor risks using computer vision on camera feeds, worker safety using exosuits from [Verve Motion](https://vervemotion.com/), AR for immersive tutorials, and voice-based documentation for doctors like Bee portfolio company [DeepScribe](https://www.deepscribe.ai/).