Use Cases and Case Studies

The Challenge Construction projects involve multiple dependencies across schedules, resources, subcontractors, materials, and site conditions. Risks and issues often emerge from small signals across different systems, such as delays in delivery, changes in field conditions, or inconsistencies in reporting. These signals are not always connected, making it difficult to identify risks early. Teams rely on […]

The Challenge Construction projects involve continuous financial activity across procurement systems, contracts, change orders, invoices, and field execution. Cost data is spread across accounting systems, project management tools, spreadsheets, and emails. Updates often lag behind actual work in the field, and financial visibility depends on manual reconciliation between teams. Common issues include: Budget tracking that […]

The Challenge Prior authorization and referral workflows in healthcare are complex because they rely on data spread across multiple systems. Patient records live in EHRs, authorization details sit in revenue cycle platforms, payer rules are housed in external portals, and care coordination happens in separate tools. Teams are responsible for reviewing documentation, interpreting payer requirements, […]

The Challenge Clinical trials depend on accurate cohort selection and the ability to adjust based on emerging data. In practice, this is difficult because relevant data is distributed across clinical systems, trial management platforms, EHRs, genomic datasets, and external research sources. Teams spend significant time assembling cohorts using incomplete or delayed data. Patient eligibility criteria […]

The Challenge Large-scale projects rely on data from many sources, including project management tools, financial systems, schedules, documents, field reports, and communications. Each system captures part of the project, but there is no single, continuously updated view of what is happening across the full lifecycle. Teams often work with partial information and spend time reconciling […]

Syntes AI revolutionized Razer’s revenue forecasting by integrating sales data across channels, delivering AI-driven insights, and empowering data-informed decisions that fueled growth and efficiency

The Challenge Healthcare organizations manage large volumes of sensitive patient data across EHRs, billing systems, clinical applications, research platforms, and third-party services. Each system holds part of the patient record, and data often exists in multiple formats, including structured records, documents, and communications. Regulations such as GDPR require organizations to maintain strict control over how […]

Syntes AI empowers global brands like Pantone with AI-driven demand forecasting and inventory optimization, ensuring efficient supply chains, reduced costs, and enhanced product availability across markets.

Business Challenge: A pharmaceutical company faced significant challenges in accelerating its drug discovery and development processes. Traditional methods were time-consuming and costly, requiring years of research and millions of dollars in investment to bring a new drug to market. The complexity of analyzing massive datasets, identifying potential drug candidates, and optimizing compounds further slowed down […]