Company core values are Openness, Innovation and Efficiency. We have a wealth of knowledge on Wireless communications and IT technologies and are tirelessly working towards developing a set of solutions with which we intend to challenge the status quo and bring more innovation to the backend system of cellular networks.
There is a new industrial revolution in the works, and many industries are already embracing the change. Companies from diverse areas, from marketing to agriculture and health care, are starting to leverage Artificial Intelligence technologies, paired with automation, to improve efficiencies and unlock new business opportunities. However, the application of these technologies is still very limited when it comes to the automation of complex engineering processes. In today’s world, Engineering knowledge is not easily
transferable as it doesn’t reside in a digital format. Now, imagine a system that simplifies the acquisition of this knowledge and the creation of specialized tasks to automate Network Operations. This was the premise for founding Tupl in 2014. While the rest of the wireless industry is coming late to this realization, Tupl has been delivering impressive results in terms of reduced manual labor (90%), higher speed (100x) and higher accuracy (4x) when compared to existing, manual engineering processes.
Customer Problem & Opportunity Size
Our customers need to find ways to reduce their operational costs in the face of increasing competition and declining ARPU, and at the same time, accomplish tasks that never get properly done because of their complexity and the lack of time. Automation of manual, repetitive tasks, is the only way forward. Unlike classifying images or voice sounds, making a qualified engineering decision involves complex data management paired with deep domain expertise, based on information points coming from a diverse set of data sources which are often siloed. Every customer workflow is somehow unique, so resolving engineering problems requires a high level of customization, which is very costly to do using legacy technologies.
We estimate that, in the Wireless Operator market alone, such automation can provide north of $100M/year cost savings for a Tier1 operator. That equals $10B/year savings worldwide.
We have created a specialized AI Engine, TuplOS, whose goal is to simplify the development of automation utilities and to enable the creation of a Digital Knowledge database for complex processes. It is well known that up to 80% of the AI value creation cycle is invested in data transformation and training, and thus the TuplOS system includes utilities to collect data, generate features, create models and simplify training processes. While very simple to use, our AI Engine enables the development of complex automation applications. Example applications include automated technical customer care (Automated Customer Complaint Resolution – ACCR), Proactive Care, automatic network troubleshooting (Network Advisor), network construction prediction, and operations work flow management (Unifier). Most of these are creating benefits north of $10M/year/operator/use case, proven by actual numbers from our clients.