CUSTOM DATA APPLICATIONS, EXPERTISE-ON-DEMAND
Exaptive can build custom data applications for you and in collaboration with you. Our services team of developers and data scientists have backgrounds in life sciences, consumer analytics, and legal data, among other verticals. Their technical expertise include artificial intelligence, text analytics, advanced visualization, user experience design, and enterprise software.
We deliver data analysis and custom data applications that incorporate the interactivity, adaptability, and rapid iteration our platform delivers. Engaging with our services team means you get the benefit of the platform applied to your data challenge by the most experienced users of the platform, along with valuable insight into your data. Check out a sample of what can be done, and let's talk about your next data challenge.
Customer: Cohen Veterans Bioscience
Services: Enterprise Application
Exaptive builds tools to explore PTSD and TBI and connect researchers
At least 2 billion people worldwide suffer from brain disorders, of which there are more than 600 diagnosable conditions. Cohen Veterans Bioscience (CVB) works to fast-track the development of diagnostic tests and personalized therapeutics for both veterans and civilians who suffer from the devastating effects of brain trauma.
CVB asserts that new approaches to brain research and doing “science at scale” are what’s needed to make breakthroughs in treating Post Traumatic Stress Disorder (PTSD) and Traumatic Brain Injury (TBI).
A 501(c)3 non-profit, CVB organizes a network of public-private partners that each contribute complementary and synergistic data, capabilities, or expertise. CVB hired Exaptive to build an enterprise application that could expose connections in the vast data sources available to them, as well as to facilitate connections among the people involved in the greater PTSD/TBI research community.
Exaptive’s services team used its rapid development platform to repurpose and link components to quickly build interactive knowledge maps for CVB ‘s community of users. These visual, dynamic maps can be easily used by non-programmers in the PTSD/TBI community to search for relationships in data, find underlying publications and research supporting the data points, and the researchers involved. The data can be filtered and explored in any number of ways to benefit ongoing research or make decisions about new research directions.
Exaptive’s application also creates a cognitive network among the PTSD/TBI community, enabling members to find others with shared interests and research, or new approaches to solving seemingly unrelated problems.
Importantly, the application can be improved, expanded upon, or customized by anyone with the curiosity and a willingness to work with Exaptive’s modular computing components to build their own analytical tools. Simple drag-and- drop functionality lets users personalize analytics workflows and access data, algorithms, visualizations and other assets. Those with programming skills can extend the application by creating and sharing components that could be valuable to others.
The interactive knowledge maps are exposing Cohen Veterans Bioscience’s community of researchers more easily, and more quickly, to each other and to underlying data that can broaden, shift, and break through areas of research.
Customer: Gale Cengage
Industry: Academia/Higher Education
Services: Rapid Prototype and Enterprise Application
Exaptive builds data mining enterprise application to aid scholarly research
While higher education researchers in the Humanities have a wealth of content at their disposal, they do not necessarily have the programming and coding skills to access and analyze that textual data to its fullest potential.
Simple-to- use yet powerful tools elude them; tools that do exist are difficult to install and configure, typically do not work together, and often require advanced programming knowledge to use. Determining which content to analyze presents another significant challenge, despite available search tools.
Into that void has stepped Gale, part of Cengage Learning, which helps academic researchers mine millions of digitally archived records to derive new insights from analyzing patterns and frequency of words and terms. Such data mining, in which software recognizes entities, relationships, and action, “helps researchers draw new conclusions among disparate data and is emerging as an important area of scholarly research,” according to Gale.
To fulfill its promise of providing textual analysis tools “to assist researchers who may not have programming experience or digital humanities programs at their institution,” Gale enlisted Exaptive’s services team to build a rapid prototype of a “Digital Scholar Lab.” This environment let researchers:
- more easily locate both Gale’s and third-party archived content
- analyze text using state-of- the-art machine learning tools
- share results with colleagues and collaborators around the world
- engage the content as a more playful experience, encouraging exploration and experimentation
Using its rapid development platform to build a prototype, Exaptive was able to deliver working iterations of a minimum viable product — early and often — so that features and functionality could evolve through real, hands-on use by researchers testing the application.
Lending speed to the development process was Exaptive’s use of its robust and growing library of off-the- shelf components and modules. For example, components existed to enable integration of third-party sources like Google Books.
With a successful rapid prototype in hand, Gale made the decision to have Exaptive build a live production enterprise application that would serve as a one-stop- shop for conducting Digital Humanities research. From rapid prototype to enterprise application took just months, at a price that makes the application affordable for Gale’s academic customers.
Today, researchers can use Gale’s powerful machine learning tools without needing to separately set up and configure development environments. Exaptive’s application walks users through the process of configuring algorithm parameters — a useful aid for those not well-versed in these algorithms.
Customer: Large NGO
Industry: Healthcare/Public Policy
Services: Data Analytics
Exaptive provides data analytics services to world-leading NGO
When you’re a non-profit trying to tackle some of the world’s most entrenched, but solvable, health, education, or development problems, stopping to build analytical tools is out of the question. For that, you outsource.
Exaptive was asked to help this non-governmental organization (NGO) figure out how to use the large amount of data at its disposal to make better aid decisions. The group wanted to understand which interventions would work best, based on past experience, so that its aid would be applied in the most efficient, effective manner.
Using its rapid development platform, Exaptive then built a series of tools to facilitate data exploration and discovery. User Experience designers brought advanced machine learning techniques to the solution.
Given the immediacy of the need, Exaptive’s data scientists did the analytical work on the organization’s behalf. They analyzed a large collection of country-by- country historical data to identify which ones had similar “fingerprints” based on demographic, economic, environmental, and other factors.
The Exaptive services team’s on-demand data analytics produced actionable insights quickly — within weeks, not months — enabling the NGO to make data-driven decisions that yield a stronger return on its aid investments.