Performance Leap Dulles Research offers an automatic SAS to Java conversion solution that enables SAS programs to run in parallel on Big Data frameworks, delivering up to 10x performance gains. This creates a strong upsell narrative for clients seeking faster analytics and scalable deployment in Hadoop or MPP environments.

Cost Reduction The solution promises significant cost reductions by streaming SAS workloads into modern runtime environments and operationalizing SAS models through web services, rules engines, or decisioning systems, making it attractive to cost-conscious organizations adopting SAS at scale.

Integration Focus Position Dulles as a modernization partner that extends Base SAS capabilities with ready-made integration into existing ecosystems (CRM, risk management, APIs, and decision engines), appealing to firms looking to embed analytics into broader workflows.

SMB to Niche Enterprise With a small team and revenue in the low millions, target mid-market and niche enterprise customers who need rapid SAS modernization without large-scale consulting engagements, offering a faster path to value and lower friction deployments.

Industry Alignment Highlight potential use cases in risk management, decisioning, and operational analytics where SAS models are prevalent, aligning with industries that value parallel processing, real-time decisions, and scalable data processing to drive adoption.