Operations Made Simple with AI
Driving real value with our tailored solutions powered by Predictive and Generative AI
Our Impact
Reduction in manual effort
Faster automation journey
Consistency in decisions
TuplOS®: a Pragmatic Approach to ML
Built for domain experts - NOT developers or data scientists.
Tupl Crosses the AI Divide: A Proven Leader in Scalable AI Transformation
Tupl stands among the top 5% of companies successfully scaling AI—turning innovation into real business results.
They trust us with their automation initiatives
At T-Mobile, we’re obsessed with the customer experience, and Tupl’s tool has enabled us to respond to our customers much faster on technical issues.
Solutions like this help make T-Mobile #1 in customer satisfaction in US wireless.
Brian King
Former SVP & CTO
This time, two companies have achieved an excellent outcome in the trial of optimization of base stations’ antenna tilt settings.
This outcome was obtained through leveraging the technical strengths of both companies, i.e., Tupl’s knowledge of network optimization employing the deep reinforcement learning and DOCOMO’s experience as a mobile network operator. We also consider this a useful achievement of our co-creation.
Mr. Masafumi Masuda
General Manager
The Tupl SaaS portfolio expands the reach of Deloitte and Tupl in delivering network operations automation using artificial intelligence.
Tupl’s SaaS-based offering, which we deliver with transformation services for tailored use cases, brings the automation of network operations engineering to a larger market of customers.
Pedro Tavares
Lead Partner
This is the approach to use Al technologies to turn accumulated engineering knowledge into digital knowledge for scaling, speed and consistency.
Ken Miyausi
President & CEO
The collaboration between Tupl and NESIC will enable us to provide automated solutions that improve the efficiency and speed of network operations, which are becoming increasingly complex due to the accelerating shift to open and multi-vendor networks.
Mr. Yukinobu Noguchi
Associate Senior Vice President
Improving sleep quality is correlated with labor productivity, and is said to be directly linked to corporate profits. By utilizing Tupl’s Al solutions in addition to our own Al solutions, NTT PARAVITA’s service levels have been raised. Together with improved sleep quality for individuals, we expect to improve productivity for businesses.
Ryohei Suzuki
CTO
Tupl Power Saving Advisor allows us to maximize energy savings, while ensuring quality is fully under our control. It gave us back control over our destiny, with zero-touch operation. Besides, we could capitalize savings within the first year.
Valentin Neacsu
Former CTO
Our shared vision of how to change the industry is the strong basis for this partnership. Bringing manufacturing back to Europe is an increasing vital business strategy for many companies. To make this possible it requires Smart Factories driven by increased Automation and Digitalization.
Benno Beuting
CEO
We are proud to be able to collaborate with Tupl, another company from Malaga which is also committed to developing innovative solutions to continue to bring value in this field.
Mariano Barroso
Executive Vice President
In the spotlight
The (Rocky) Path Towards Zero-Touch Network Automation
Mobile networks are growing exponentially in complexity. As operators deploy and maintain multi-vendor 2G, 4G, and 5G environments—often coexisting within the same infrastructure—network engineers face an overwhelming volume of alarms, performance counters, and KPIs to interpret. Manual provisioning, troubleshooting, and intervention are no longer scalable or sustainable in such dynamic ecosystems. Traditional network assurance has relied heavily on manual investigation, where engineers spend hours correlating metrics, logs, and configuration data to identify the root causes of anomalies.
AI in Agrifood: Tupl at Fruit Attraction 2025
Tupl showcases AI solutions at Fruit Attraction 2025, driving innovation, sustainability, and efficiency in agribusiness.
Real-Time Nut Classification with AI and Computer Vision
Automated nut classification using AI and computer vision for real-time inspection, improved accuracy, and scalable agri-food quality control.