WorkWave is a company that delivers innovative software and fintech solutions to millions of dedicated service professionals who ensure the world remains safe, clean, and beautiful. Partnering with thousands of customers globally, leading companies in lawn care, pest control, commercial cleaning, and security guarding rely on WorkWave’s comprehensive SaaS solutions, including its core offerings PestPac, RealGreen & TEAM Software, to manage and grow their businesses. Backed by decades of experience, passionate teams, and an unwavering commitment to its customers, WorkWave’s vision is to empower the world’s mobile service workers to build a brighter future.
Pulse 2.0 interviewed WorkWave’s SVP & GM of AI & Data Analytics David Libesman to gain a deeper understanding of the company.
David Libesman’s Background
What is David Libesman’s background? Libesman said:
“I started out as a consultant working at Accenture straight out of college. Prior to that I started programming when I was 14 on an Apple 2E, so I always had a passion for technology from a very young age. I was always very much into electronics and I started in programming and when I did my degree in Information Systems and Accounting, accounting was boring. I didn’t find it very challenging but Information Systems was really fantastic. So I ended up doing that. Then I went to Accenture and I was there for a couple of years and I learned a ton about technology.”
“After that, I started my own software business in Australia in education and networking and then that’s when I really got involved in BI, in the really early days when business intelligence was really the next generation after spreadsheets. So I really started working with products like Essbase, TM1, and the different technologies out there.”
“Data was always something that was inherent in what we did and it just kept on growing as my career did. I was a CEO of a company that always had a big focus on product and was always focused at selling the vision. So I decided to move on and join the larger companies. That’s when I really got deep into working with cloud-based data and turning it into useful information and actionable insights, really the next generation of business intelligence and started to get involved more on the AI side.”
“At iPipeline we completely transitioned the way they were working with customers and providing them value. We transitioned from just pure data reporting to analytics benchmarking, really helping the customer understand where the problems were, why they were there, and how they’re going to solve those problems. We were very successful at turning data into a product and monetizing the value. It’s an interesting challenge because you have to be able to let a customer see your vision and therefore buy into it and understand it. And so when I got involved here, I started getting much more involved in the AI side. And in the last even year, a year and a half, it’s gone so fast.”
Favorite Memory
What has been your favorite memory working for the company so far? Libesman shared:
“My favorite memory is how professional the marketing team was in filming me for the video series, and bringing the best out of what I said. That’s what sticks out. I was very proud of how that came out and impressed with the talents and scope of the marketing team.”
Core Products
What are the company’s core products and features? Libesman explained:
“WorkWave provides end-to-end software and fintech solutions that help businesses in the lawn care, pest control, commercial cleaning, and security guarding industries run and grow their business. The three core products – PestPac (pest), RealGreen (green), and TEAM Software (commercial cleaning/janitorial, security) – help the world’s top service companies thrive.”
“Additional solutions include Wavelytics and Fintech, which offer our customers even more ways to gain insights into their business, gain control of their finances, and ultimately create a more intuitive and sustainable business.”
Challenges Faced
What challenges have Libesman and the team faced in building the company? Libesman acknowledged:
“The biggest challenge in analytics? Overengineering. You can easily end up with an overcrowded dashboard of data when you really only need three or four points once you start asking the simple and hard questions; how is that metric / KPI/ insight going to help me solve my problem and bring value?”
“It’s kind of like a mix of an art and a science – less is more.”
“On the AI side, the biggest challenge is proving real business value. Much of what happens with AI is questioning if it’s going to work and I think it’s important to do that quickly. The best way to maximize success of your AI use cases is to break it down into small components and then you can test very quickly whether these small components are going to fail or succeed. So that’s how you bring value – business value not the technical value. It’s not about how cool it is, but whether or not it is practical and adds tangible business value.”
Customer Success Stories
When asking Libesman about customer success stories, he highlighted:
“The real success isn’t just in the numbers—it’s in the mindset shift. Customers are realizing they can access their data faster, with more detail, and with history at their fingertips. They’re seeing the power of self-service, where they don’t have to wait on reports—they can get insights on demand.”
“We’re in the early days, but customers are buying into the vision, not just the product. They see our Wavelytics solution as an extension of their own business, not just another vendor tool. That’s when you know you’re onto something big.”
“The biggest win we’re seeing, at this stage, is the excitement from our customers about the amount of data they’ll be able to receive, the speed at which they’ll receive it, and the level of detail they’ll have access to. I’ve seen the lights go on and there’s a definite wow-factor and engagement from customers that’s been exciting and rewarding.”
“Seeing ‘my vision’ become ‘their vision’ is a real success indicator for me- the fact that they bought into the art of the possible rather than the specific dashboard or specific metric or the specific result – that’s really powerful.”
“It’s not so much about the product, but about us now being seen as a true partner for this exciting future.”
Differentiation From The Competition
What differentiates the company from its competition? Libesman affirmed:
“The biggest differentiator from our competitors is how we go deep into our verticals and are not just looking for broad solutions. By bringing out the best practices of the industries we serve (pest, green, cleaning, and security), we are able to stay very focused and bring tremendous value to all aspects of those businesses, and utilize data and AI to optimize all key use-cases and insights within them. We strive to be the Master-of-Few over a Jack-Of-All-Trades within these industries, able to solve all of their problems due to our specific focus.”
“Another difference is choice and control. We’re not locking customers into a black-box solution. The fact that we’re actually building out an open-architecture data factory that’s available to customers and lets them access, integrate, and use their data however they want.”
“Building self-service into our platform is certainly a game changer. The fact that we built this from the ground up, using only the best tools on the market, gives us a unique ability to rapidly scale with our customers and continue to bring them the best of breed technologies.”
Future Company Goals
What are some of the company’s future goals? Where is the company headed? Libesman concluded:
“We’re transforming how customers use the latest and greatest, state of the art technology to drive their businesses. Our products will be infused with AI and automation that will make workflows smarter, faster, and more intuitive so they can scale faster and make more money. Removing the need to rely on others to access and interpret their data will completely change their day-to-day.”
“Software interaction is changing rapidly with almost all interactions done via mobile. Having intelligence that’s completely embedded in the platform allows our customers to become smarter, more profitable, and really scale the business to where they can focus on delivering the best customer service without worrying about the software.”
“Bottom line – our goal is to make business intelligence effortless. Customers should spend less time managing data and more time making money.”
