IGS applies machine learning and artificial intelligence to automate insights, improve system performance, and deliver scalable, secure innovation. We transform complex datasets into forward-looking insights and recommendations, helping agencies predict trends and optimize outcomes.
 

Capabilities include:

• Supervised and unsupervised machine learning models

• Natural language processing (NLP) and text analytics

• Computer vision and anomaly detection

• Model training, validation, and monitoring at scale

• Predictive modeling for outcomes, risks, and behaviors

• Prescriptive analytics for resource allocation and planning

• Time-series forecasting and pattern recognition

• Data-driven simulations and scenario modeling using tools like Python, Java, Perl, SQL, SAS, and R

IGS builds intelligent systems that support early detection, clinical insights, and operational diagnostics, supporting mission-critical health and infrastructure environments.
 

Capabilities include:

• Diagnostic algorithms for public health and clinical systems

• Real-time data ingestion from Electronic Health Records (EHRs), sensors, and claims systems

• Alerting engines and anomaly detection tools

• Integration with health IT standards (e.g., FHIR, HL7)

• Cloud-based AI/ML tools, including Azure OpenAI and AWS Machine Learning

We support government agencies with scalable, secure solutions to monitor, track, and respond to public health events across populations.
 

Capabilities include:

• Disease surveillance and bio-surveillance platforms

• Social determinants of health (SDOH) analytics[EL1] 

• Geospatial analytics and heatmapping for outbreak response

• Real-time dashboards for epidemiological monitoring

 

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