At Walabot, AI isn’t just a buzzword — it’s woven into the very fabric of how we work, build, and support. From intelligent apps to knowledge-driven systems and AI-powered customer service, Walabot is leveraging artificial intelligence in multiple impactful ways. Here’s a behind-the-scenes look at how we do it.
1. Smart AI in the Walabot App
Walabot’s flagship applications rely on intelligent sensing and analysis, and AI plays a pivotal role here.
Our devices — which can see through walls, detect motion, and monitor radio frequency (RF) signals — use machine learning models to interpret complex physical features and raw sensor data in real-time. These models are trained to detect patterns like:
- Pipe, wire and stud location inside walls
- Movement inside walls for pest detection
The result is a set of smart applications that go beyond raw imaging — delivering insights, alerts, and real-world understanding through AI.
2. AI-Driven Software Development
Behind every smart app is a smart development process. At Walabot, AI is integrated into our software development lifecycle in several ways:
- Code generation and review: Tools like GitHub Copilot assist engineers with writing, reviewing, and debugging code more efficiently.
- Automated testing: Machine learning is used to prioritize test cases based on past bug history, reducing QA time while increasing coverage.
- Predictive development: AI models help estimate delivery times, identify risky changes, and highlight potential bottlenecks during planning.
This means we build faster, test smarter, and ship better-quality software — all with AI as a quiet partner behind the scenes.
3. AI as a Knowledge Center
Information is power — and at Walabot, we’ve made sure that AI helps everyone find and use knowledge effectively, both inside and outside the company.
- Internal Knowledge Hub: AI helps organize documents, emails, specs, and FAQs into a searchable system that team members can query in natural language. Whether you’re a developer looking for API references or a support engineer searching for debug guides, answers are just a few keystrokes away.
- External Knowledge Base: Our customers also benefit from this AI engine. The same smart organization powers FAQ pages, help docs, and troubleshooting flows that are easy to explore and constantly updated.
By using semantic search and document understanding models, we ensure that knowledge is accessible, fast, and context-aware.
4. AI-Powered Customer Support with FINI
Customer support is another area where AI is creating real value — and we’ve taken a big step forward with FINI AI (https://www.usefini.com/), our intelligent support assistant.
FINI helps in several ways:
- 24/7 Support Chat: Customers get instant answers to their questions via AI-driven chat, reducing wait times and increasing satisfaction.
- Ticket Triage: AI prioritizes and categorizes incoming requests, helping human agents focus on high-impact issues.
- Continuous Learning: Every interaction helps FINI get better, as it learns from successful resolutions and adapts over time.
The goal? A hybrid support system where AI handles the repetitive, and humans handle the nuanced — resulting in faster service, better answers, and a more scalable support team.
Final Thoughts
AI at Walabot isn’t just a single feature — it’s a philosophy. We believe that artificial intelligence should:
- Enhance human creativity and decision-making
- Automate the repetitive so people can focus on the meaningful
- Make technology more accessible and intuitive for everyone
From smart sensing to smart support, Walabot is investing in AI not just as a tool, but as a foundation for the future.
Want to see AI in action? Try the Walabot app, interact with our FINI-powered support, or explore the technology behind the scenes — and experience firsthand how AI is shaping the next generation of sensing and support.
