Engineering next-generation smart and connected solutions
Revenue
Revenue Contribution
We have extensive experience in engineering next-generation products and platforms across software and hardware, which fuel digital-led innovation. We offer end-to-end engineering services to develop high-quality, scalable and secure products. This is enabled by our expertise in both core and disruptive technologies (cloud, mobile UI/UX, hardware & embedded systems, DevOps, AI, blockchain, edge computing, drones, and computer vision) across sectors such as edtech, hi-tech, media & entertainment, healthcare & life sciences, and industrial & manufacturing. We combine our rich product engineering DNA with high customer centricity and a domain-led consulting approach that gives us a competitive edge and makes us the preferred digital engineering partner of our clients.
We offer diverse customized and carefully curated services that meet the unique requirements of the following industries:
Happiest Minds conducted a consulting exercise to understand DoubleVerify’s product portfolio and processes, and devised a roadmap for achieving Level 4 maturity as per our proprietary Test Maturity Assessment (TMA) framework.
To overcome the complexity of innumerable ad-rendering scenarios, we developed mind-maps to depict the end-user's journey across the spectrum, providing greater visibility to agencies, client teams and auditors.
The scalable framework accommodated multiple Ad Networks, leading to a 40% increase in transactions measured from 3.2 trillion to 4.5 trillion. It reduced time to obtain media rating council (MRC) accreditation by a year, resulting in accelerated time-to-market. It further enabled DoubleVerify in becoming the first accredited provider of solutions for CTVs and OTT platforms.
We embraced a consultative approach to work closely with customer teams and built a proof of concept (POC) to validate their student database with actual inputs. Real-time data streaming was used to capture live student behavior for predictions and remediation. Additionally, we built a visualization layer to display student performance trends and help instructors take corrective actions.
Our solution enabled the client to make sense of varied data sets. It helped reduce the turnaround time to identify at-risk students, reducing dropouts by 15-30%, and helping boost revenues. We developed an easily learnable model to provide for continuous calibration based on new data.