Past Projects
We have worked with startups and teams in big corporations on the following:
​
Technology-driven SWOT analysis to refine a solution in order to meet customers' technical and business requirements
​​​
Built and introduce PoCs in customer's environment with a clear defined purpose, strategy and goal by demonstrating fixing customers' problems.
​​​​​
Define a value proposition, competitive advantage, and strategy to take the solution to the market.
​​​​
Work with customers to scale business in new markets and participate in tenders.
Tier 1 Telecom Operators approach to sell B2B solutions (Industrial IoT)
Problem: Telecommunications operators need to find a way to increase revenues and have different revenue streams.
​
Solution: Advice Tier 1 Telecom Operators to strength and target B2B - Industrial IoT, based on a 3D framework that would enable a differential advantage and bring add on sales.
​
Outcome: Customers improved their B2B portfolio offering, strenghten their market position and added new revenue streams
Startup ML – Predictive Maintenances in Factories
Problem: A startup founded in academia, developed an algorithm for Machine Learning to be deployed in Factories and assembly plants.
​
Solution: Worked with the team to define the value proposition about identifying the key element within a production line where impact of deploying the software would be measurable and fastest.
​
Outcome: Startup delivered the expected SLAs, and then it was bought by a multinational insurance company.
​
​
Telecom Solutions. Scale business.
Problem: An established mid size company in India wanted to scale their Cloud Native BSS, OSS business with Tier 1 Mobile Operators in Europe.
​
Solution: Worked in an account plan, pipeline creation, strategy to participate in RFx and become a preferred partner.
Outcome: Solutions sold and company continues participating engaging with customers in Europe.
AI/ML for IoT Platform
Problem: A system Integrator’s goal is to enhance their IoT Platform with AI/ML capabilities in order to offer this to manufacturing companies.
​
Solution: Defined specific goals through use cases, evaluated different cloud technologies.
​​
Outcome: An IoT + AI/ML reference architecture that is cloud agnostic.
5G Private Network Solution Startup
Problem: A non European company’s goal was to break into EU market with their innovative 5G Stand Alone (SA) Solutions.
​
Solution: Worked with different potential customer identifying use cases where private networks could be optimal solutions.
Outcome: The solution was sold and the startup remained as preferred provider. This sale helped as a reference for other mobile operators to deploy PoC based on this technology.
