A client was making data driven decisions, but their core was based on spreadsheets, which made scalability difficult along with the documents being error prone. To address these issues we built a web application rendering spreadsheets unnecessary, implemented a reporting and analytics solution, automated candidate engagement, included third party integrations, and utilized machine learning to determine candidate relevancy to a position.

An organization needed to build a tech solution for their clients that used a variety of applications. We were able to vet ideas for tech upgrades and develop a process for continual upgrades. This process involved active and thorough dialogue with the customer to ensure that they were investing in the right kind of improvements.

A recruitment process outsourcing provider needed to develop and implement a 5-year technology roadmap. The roadmap included building a custom platform, integrating with best of breed recruiting solutions, and implementing an analytics and reporting solution. As a result, the client now operates as a tech-first company.

A company needed to modernize their business and build a next-generation software platform. The resulting platform allowed the company to reduce customer onboarding time, increase customer retention, and operate as a tech-first company. Account management functions were automated, back office functions were integrated, and an analytics solution utilizing real time dashboards and reports was created.

Utilities operators needed help optimizing the energy production of a vast number of distributed solar energy resources, while resolving issues promptly and cost-effectively. To address this, an operations and maintenance platform was built that utilized analytics and AI. This allowed utilities operators greater visibility and control over their solar resources.

A retail electric providers (REP) in Texas had to estimate the amount of energy needed to provide their customers with competitive market prices. To address this issue, a more accurate load prediction model based on machine learning and historical energy load data was developed. The model provides a greater ROI and allows for more precise forecasting of metrics like consumer load patterns and revenue generated per customer.

A prepaid credit card and treasury management services company had to complete a technical due diligence assessment. We identified bottlenecks and gaps in the company's business operation processes. Then we developed a strategy focused on modernizing their back-end applications and client-facing software platform.

A recruitment process outsourcing provider experienced operational inefficiencies due to rapid growth. We were brought in to assess their existing processes and decided that a fully integrated, scalable technology platform was needed. We built a cloud platform with real-time analytics that’s currently incorporating artificial intelligence-based analytics capabilities to assist recruiters with pattern-based tasks.

A family-owned business that hosts children's consignment sales had their lone IT engineer quit. When this happened, the company's outdated systems began to fail. We stepped in to stabilize the system, update the code base, and move the entire system to Microsoft Azure. We also worked on providing daily backups, remote access to inventory databases, and routine updates to the latest version releases.

A client needed to complete a 30-page technology questionnaire as part of a VC due diligence process to secure additional funding. Thanks to our expertise in technology strategy and experience in fulfilling complex VC due diligence requirements, we were able to complete the questionnaire and compile all required supporting documentation in a single day. This shortened the due diligence timeline by a month and helped the client secure new funding.

A billing service provider company's applications was built using a serverless architecture

The company had its infrastructure on the cloud in order to improve scalability and flexibility. However, the company wanted their infrastructure, application and data to be secure in the cloud.