882 results:
ScienceSoft created the concept and detailed requirements specification of an injury management system to facilitate cooperation between caregivers, law firms, and medical finance companies in settling vehicle accident injury cases.
ScienceSoft developed a cross-platform application for Linux and Windows for real-time video monitoring, error detection and notification. With the app, the Client can instantly identify problems with showing advertisements on its LED displays.
The solution automatically aggregates data from 40 disparate sources, runs multidimensional analysis and forecasting across 30 finance variables, and features 17 pre-built report templates, giving the Customer comprehensive insights into its financial performance.
The solution processes 14,000+ insurance documents per month and provides 40+ pre-built templates for automatic document generation, improving insurance process speed and efficiency.
ScienceSoft created a mobile care coordination app that creates a continuum of care by connecting patients with their caregivers across organizations and specialties.
ScienceSoft developed a proof-of-concept AI assistant for legal document search. The solution enables law firm staff to search vast legal archives in natural language, quickly surface relevant cases and documents, and stop relying on exact keywords for legal research.
ScienceSoft built a PoC of an AI document search assistant for a security preparedness company. The solution used hybrid RAG and fine-tuned embeddings to support precise keyword lookups and source-grounded AI-generated answers.
ScienceSoft developed AI capabilities for an enterprise-grade contact center software product. Adapted for cloud, on-premises, and hybrid deployments, the modular AI layer transcribes live calls, summarizes call and messages, detects communication intent, and analyzes customer sentiment.
ScienceSoft has provided ERP maintenance, optimization, and problem management for Give Back Wireless. In just one year, we reduced application runtime errors by 98%, automated deployments, and completed a strategic migration to Amazon ECS with no system downtime.
A custom AI model to enhance the Customer’s penetration testing tool. The self-learning model enables the automated simulation of attack vectors relevant to the network components and CVEs identified by the Customer’s tool.
In compliance with GDPR, your personal information will be collected and stored for ten years on servers located in the United States. After this term is expired, your information will be erased. We will share your information with our development center, which will handle your request. At our headquarters and our development center we apply the same level of care in respect of your information as prescribed with GDPR rules. For more information, please refer to our Privacy Policy.
Healthcare
Insurance
Investment
