They knew assistance was needed to improve their user experience requiring a new mobile interface adapted to support a variety of devices. This required a mobile-friendly application that would support and enhance credibility with customers, clients, and influencers. They wanted to improve the existing web application with a new look and feel that could scale efficiently on across mobile devices. The challenge for Sphere was to provide an exceptionally immersive experience while driving additional data and analytics, resulting in a higher rate of user engagement.
When a leading global retailer in the health and wellness industry experienced challenges in gathering and accessing information, they needed help creating a single source of truth in order to make better strategic and operational decisions. Internal data was dispersed across various different sources and was only available to a few high-level executives in the company. That made it very difficult for others within the organization to get their questions answered on time, if at all.
Not only did BluVector need help building a structure to store and record client configurations, but they wanted to update the UI / UX design of its machine learning-based analytics engine. The company was in search of a system to deploy its innovative AI antivirus sensors for its clients’ networks. Therefore, BluVector had to commission a repository customizable enough to store original configuration files and client modified versions. In addition, the storage system had to be able to pull master versions from BluVector’s update server.
Lands’ End was trying to find a more effective way to extract actionable insights from terabytes of customer data. Their massive operational database lacked the functionalities required by their marketing team to produce the analytics needed to reach new customer segments.
Rebel wanted to develop chat bots that would not only assist their internal customer service representatives but also enhance their customer’s experience while lowering costs. However, before Rebel’s chatbot could assist customers, they needed to first enrich its knowledge-base and train the chatbot by utilizing the expertise of their customer service agents.
Proclivity Media wanted to build a prototype of its advertising technology analytics platform. With an algorithm in mind, they needed a team with the analytics experience necessary to build a scalable front and back-end system that would allow them to establish proof of concept with a custom analytics prototype.
Gett’s current online system allows them to accept and process delivery orders from their vendor partners. However, Gett needed to develop an API-based service that accepts orders from their partner’s disparate systems and places them into the Gett system. In addition, this service was required to be implemented as an isolated SaaS with a reporting interface, provide statistics on KPIs, handle 100,000 orders per day, and have a 99.8% uptime.
By conducting extensive primary research on their TAM (total addressable market), we sought to understand the client’s market demand, their ability to maintain the target’s customers, and the viability of the technology. Technical threats and opportunities associated with the acquisition were also examined in detail.
An angel investor was approached by a five-person start-up in Tel Aviv with an innovative social media data harvesting application. The investor asked us to evaluate the technology and team competence. Since the desired seed investment was relatively small, the investor asked us to move much quicker than usual and present an informal recommendation within three days.
In an interesting turn of events, the client placed more value on the business assets (the customers and vendor network) than the technology that ran the business. As a result, the scope of this due diligence was maintenance focused – what are the costs to maintain the technology, transition the customers, then decommission the technology over a 12-18 month period?