The Problem A VC approached us to find a high-quality investment opportunity that would fit its tech-start-up portfolio. We located a promising startup in post-seed stage that was building a platform based on advanced cryptography to enable new collaborative services in the banking industry. Would it be a winner? The Analysis We began our journey […]
Category: Case Studies
Finding the Differentiation of an Investigations Supporting Product
The Problem The manager of a technological product supporting criminal investigations asked us for help with pinpointing the differentiation of the product. In the global market that the product belonged to, a strongly differentiated product can be a winner that rips lucrative rewards. The product provided a set of tools that investigators could use in […]
Understanding Future Innovation Paths
The Problem An intrapreneur of a leading firm, who was working on launching a new fintech business unit, approached us for help. He needed to figure out within weeks the major trends of the large and complex fintech ecosystem that might support or risk his vision for the business unit. The main challenge was that […]
Massive Data Generation Made Faster and Reliable
The Problem A legacy distributed system for massive quantitative data generation had reached its limits. System innovation slowed down to a halt as it experienced frequent generation failures due to ever increasing load. Users were growing frustrated and the pressures to resolve the problem were mounting. Challenged to deal with the situation, we were faced […]
Finding Protocol Vulnerabilities Faster
The Problem A team needed to audit a set of inter-related network protocols for vulnerabilities. While there are many tools that can perform static analysis of code for vulnerabilities, none were fit to assist with this type of audit. The team resorted to debugging techniques which consumed precious time. The Analysis We took a systematic […]
Faster Modeling with Small Data
The Problem A team of modelers was facing a problem: there was only a small amount of data accessible for modeling an important phenomenon they were targeting. They needed a model that they could rely on in production despite small amounts of training data. As it was, it took weeks to adapt the model to […]
Reduced Data Exploration Time
The Problem A team of data analysts working with Python and Pandas has ran into productivity issues with their data exploration tasks on important large datasets. The running time of analyses was in the order of minutes, which was unacceptable for interactive analysis. The Analysis Our analysis uncovered several technical difficulties that reduced the productivity […]