“The impact of Foxglove was immediate. Within a few weeks of adopting the platform, our debugging cycles became significantly shorter.” Scott Butters, Staff Machine Learning Engineer, Aescape

Leveraging cutting-edge robotics and artificial intelligence, Aescape provides massages that are informed by human touch, enhancing personalized recovery and relaxation for users. Aescape’s customer base includes spas, hotels, gyms, elite sports teams, and hospitality brands that lease Aescape’s systems to elevate their wellness offerings. The Aescape robotic massage system seamlessly adapts to a wide range of customer needs, providing tailored care for elite athletes, busy professionals, and travelers alike.

At the core of Aescape’s technology is its perception pipeline, which enables precise body recognition through point cloud data, ensuring accurate and personalized massage experiences. The Aescape teams continually refines algorithms that generate detailed 3D models of users’ bodies, adjusting for posture and movement. This approach guarantees that each massage is customized, adapting in real-time to the specific needs of every user.

Challenges without Foxglove: Siloed workflows and drawn-out debugging cycles.

Before adopting Foxglove, Aescape faced significant challenges in managing the complexity of its AI and robotics systems. The development and debugging workflows were fragmented and inefficient, requiring the use of multiple open-source and custom-built tools. These tools were often disjointed, making it difficult to manage the large volumes of sensor and perception data. Engineers spent considerable time piecing together visualization solutions for point clouds, logs, and sensor data, slowing their ability to identify and resolve technical issues. This led to long debugging cycles and extended development times, limiting their capacity for rapid innovation.

Collaboration across teams was another hurdle. Insights were siloed, making it difficult to share results and collaborate on debugging. Each team relied on different tools, leading to duplicated efforts and a slower pace in resolving issues and driving innovation. This non-integrated workflow created friction between departments, further hampering progress and making it harder to meet the growing demands of Aescape’s robotic systems.

Adopting Foxglove: Expedited diagnoses and streamlined systems.

Recognizing the need for a more streamlined and scalable solution, Aescape adopted Foxglove to overcome these challenges. Foxglove provided an all-in-one platform that unified the development process, particularly in data visualization and diagnostics. The web-based interface and MCAP format empowered Aescape to efficiently manage multimodal data streams, creating a single environment for reviewing and debugging data from its robotic systems.

“The integration was surprisingly straightforward, enabling us to quickly transition from using multiple disjointed tools to a unified workflow. This significantly reduced the barriers for team members to engage with system data.” Scott Butters, Staff Machine Learning Engineer, Aescape

The outcome and impact of using Foxglove: Improved collaboration and reduced troubleshooting time.

The impact of adopting Foxglove was transformative. Debugging workflows became more efficient, allowing engineers to focus on feature development and diagnostics without the need to maintain multiple tools. Typical debugging tasks, such as diagnosing unexpected robot behaviors, were reduced from days to hours.

Collaboration across teams improved significantly. Engineers, quality assurance, and support staff could now share findings in real time through Foxglove’s intuitive interface. The ability to automate user scripts and share custom views empowered more team members to investigate issues independently, reducing reliance on key engineers for troubleshooting.

“Typical debugging processes, such as diagnosing unexpected robot behaviors, were reduced from days to hours.” Scott Butters, Staff Machine Learning Engineer, Aescape

Foxglove also enhanced Aescape’s ability to respond to unexpected user movements, a critical feature for maintaining high-quality massages despite changes in user posture. By enabling rapid iterations of features like the “member in massage pose” recognition system, Foxglove enabled Aescape to refine system behaviors faster than ever before, resulting in quicker innovation cycles and overall product improvement.

The adoption of Foxglove ultimately provided Aescape the ability to reduce time-to-market for new features, enhance product reliability, and further its leadership in robotic wellness technology. Integrating Foxglove into the development workflows has been pivotal in helping Aescape deliver world-class, AI-driven wellness experiences and scale its vision of bringing the future of self-care to a global audience.