The following events occurred ON OR AFTER the date of July 4, 1947. Exact times and locations have been generalized for security purposes.
Businesses often ignore the most important step in problem solving: defining the problem. This is only compounded when companies or partners try using yesterday’s thinking to solve today’s problems or, worse, selfishly reshape the problem to suit their capabilities. Hypergiant’s approach centers problem-solving around machine intelligence and expands, contracts, or completely rethinks the scope of a problem statement to ensure every possible obstacle and solution can be weighed before pushing forward. Moreover, our embrace of the most challenging issues facing modern business - aging business models, depleted margins, greying workforces, consolidated value chains - helps keep our teams nimble in the face of a quickly evolving corporate landscape.
Having defined the problem at all critical levels, Hypergiant assembles multi-disciplinary teams who always remain unconstrained by self-imposed tech or process dogma to find answers far beyond the bounds of obvious, easy or safe options. As such, our solutions bring to bear the latest thinking from AI-trained experts in wide-ranging fields, including Data Science, Product Design, Business Strategy and Analysis, Engineering, R&D, Program Management and more. These teams are tasked with addressing both near-term needs and those of tomorrow's users/customers/partners who are informed and assisted by AI in ways that can only be imagined today.
After realizing value from robotic process automation (RPA) efforts, GE Power soon found that costs of maintaining thousands of projects outweighed the combined benefits. In response, Hypergiant developed Control Tower - an application serving as the central command structure to visualize and manage bots deployed around the world. The platform goes beyond simple coordination in using intelligent technologies to track program success across underlying KPIs, identify areas for improvement and, above all, ensure the processes can scale further with positive ROI.
Apollo Aviation Group, a multi-strategy aviation investment manager specializing in mid-life aircraft leasing, hired Hypergiant Space Age Solutions in 2018 to reimagine the foundational software that supports their business and introduce comprehensive machine intelligence across their organization. Apollo needed a CRM, but suspected (correctly) that paying for a one-size-fits-all solution from a major platform provider such as Salesforce would require them to pay for an abundance of functionality that is not needed while leaving gaps in necessary areas.
TGI Fridays sought to encourage bar customers to purchase an extra drink as well as augment their understanding of their patrons. By leveraging this experience, the restaurant can gather multitudinous new data points in an effort to achieve the fabled “360º View of the Customer.” The unique experience HyperGiant developed attracts a more adventurous clientele who is looking for a personalized experience and is open to being a Cocktail Pioneer. Got a taste for cardamom and cinnamon? In the mood for something fruitier? The TGI Fridays virtual bartender is what you’re looking for.
We collaborated to create TapUp: a personalized solution for individuals that allows users to schedule fill-ups throughout the Houston metropolitan area. Scheduling is available whenever (and wherever) you want and the simple, streamlined application can be navigated in just a few taps. The digital product requires up-to-the-minute notifications ensuring that you never need to interrupt your day to stay on-the-go. But the user-focused aspect is only one facet of a far richer experience. Whether you have a small business or a vast enterprise, TapUp has a solution for you.
Using the minimum number of data features, environmental conditions, and leveraging a Machine Intelligence model, we are in the process of providing valuable insight about the racetrack. Our algorithms provided 100% validation accuracy in predicting the sine of the derivative. This suggests that the data from the simulation is not capturing the true complexity of the real-world situation. With a refined simulation view on the behavior of the coefficient of friction, we could provide a more comprehensive view of the change in friction: on the turns, in real time.
Our client (a rod services company acquired by Schlumberger) has long been encumbered with fragmented spreadsheets and a ton of valuable data that hasn’t been used effectively. The entire process is tedious, time consuming, and is held as domain knowledge by a single employee. The entire workflow is prone to error and requires an excessive amount of redundant data entry. Ultimately, our client was bottlenecked by an old-school process, which hindered its potential of servicing more clients and pursuing more value-based work.
Bosch was seeking a new way of explaining the IoT in a way that feels timely, visceral, and unexpected. We all know that there is information all around us - some of it we can see and use and some of it is invisible. Some of it is produced by the individual and some only tells a story when properly aggregated. Moreover, information has many facets - just like art; what intrigues one person may not be affecting to the next. But data can paint a picture, and a person, their devices, and their connections to a municipality can be the brush.