CASE STUDIES
For over a decade, tech investors and executives have turned to Kickdrum to assess, accelerate, and assure enterprise value.
Read about a few of these transformative projects below:
Technical, metrics-driven acceleration strategy
Kickdrum delivered dozens of technical analyses to Intelerad to facilitate confidence and improve efficiency in the go-forward approach.
Architecture to maximize business impact
Kickdrum helped IBS modernize existing solutions & processes to drive significant competitive differentiation & improved time to market.
25% increase in overall user satisfaction
We helped ExamSoft level up on usability, security, maintainability and scalability so they could grow even faster in the high stakes exam business.
Less than 24 hour recovery time for multi-region production
Kickdrum de-risked Finalsite from extended downtimes by establishing recovery points for all components and optimizing recovery times via comprehensive infrastructure automation.
Increased reliability and scalability
Kickdrum implemented auto-scaling for a non-cloud native, long running and sticky workload at BitTitan that was previously thought to be impossible.
Faster invoice reconciliation and improved payment outcomes
Kickdrum delivered a high-performance data ingestion pipeline and warehouse solution to Envision to drive superior business value.
Fully synchronized, error-free systems
We helped AMN refactor to keep all systems in sync and unlock new reporting capabilities.
Improved performance by 100 - 600%
Kickdrum made dramatic performance upgrades to improve customer satisfaction while enabling SmartLinx developers to work on more features in parallel.
Reduced latency and eliminated timeouts
Kickdrum migrated Envision user management to serverless Lambdas and AWS Simple Queue Service to remove latency and improve authentication performance.
Unlocking more and bigger customers
We helped InterviewStream refactor to accelerate performance and increase scalability.
Unlocked new capabilities, speed, and scale
Kickdrum built experiments for Acoustic to prove out a new data architecture whose performance greatly exceeded then-current production workloads.