Partners
Outstanding Ecosystem
As part of our constant quest to offer more to our customers, Sapiens is proud to partner with innovative companies that help us expand and refine our offerings, scale up to meet even the largest and most daunting implementation challenges, and enter new markets and locales.
- Industry challenge
- The solution
- Business benefits
Opterrix is a powerful risk intelligence platform that enables insurance carriers to proactively identify, quantify and mitigate avoidable losses. Designed by insurers for insurers, Opterrix leverages the latest advancements in meteorology, data science, AI, and cloud computing to help insurers make better decisions faster and implement proactive strategies throughout the insurance value chain. Insights are available via our single sign-on web application and API access.
Underwriting: Opterrix is a single source of knowledge that helps carriers measure and manage property-level accumulation and aggregate limits, real-time moratorium declaration and monitoring, and post-event claims management.
Claims: Opterrix monitors complex portfolios in real-time, provides advanced notifications of upcoming weather events, generates claims predictions before FNOL, and offers unparalleled street-level analysis for optimized claims workflows.
Customer Engagement: Opterrix enables insurance carriers to deliver real-time notifications that protect, inform, and interact with policyholders when and where risk mitigation is top-of-mind.
- Prevent binding of high-risk policies and reshape costly accumulations in real-time
- Create a holistic view of loss activity
- Reduce claims cycle times and loss adjustment expenses
- Improve combined and operating ratios
- Increase customer satisfaction and retention
- Industry challenge
- The solution
- Business benefits
A perfect storm of increased costs, medical inflation, post-COVID backlogs, chronic diseases, an ageing population, and increased demand means healthcare insurers can no longer keep up with paperwork, jeopardizing their profit margins. Streamlining claims processes and reducing costs is on top of their agenda to remain competitive, yet is challenging to execute due to the complexity of medical claims data requiring a specialized approach, non-scalable operations and legacy systems.
Qantev is an end to end AI claims platform helping health & life insurers reduce claims leakage, improve loss ratios and improve customer experience. The modular platform, built with a specialized layer of artificial intelligence replicating the decision making process of a medical expert, enables claims automation, fraud waste and abuse detection, provider network optimization, and specialized data acquisition/OCR to capture, clean and enrich & digitize data from any types of medical document.
- Increased claims straight through processing
- 10% reduction in total claims costs
- 75% FWA hit rate and 25% increase in SIU team efficiency
- 25% increase in customer satisfaction
- 2-5x return on investment within 12 months
- 99% OCR accuracy for printed, 90% for handwritten, any languages, template free
- Industry challenge
- The solution
- Business benefits
Insurers often to struggle to adjust their pricing with any real pace, taking weeks or months to build pricing models only to then have to transform these models down into rating structures that are manually deployed, thus losing accuracy and efficiency in the process. Insurers are facing an ever increasing competitive environment, it is essential they can rapidly build and deploy new pricing in order to stay ahead of the market
Quantee help insurers, MGAs and InsurTechs to improve the granularity and accuracy of pricing models, deliver more targeted results, enable instant deployment and monitoring in real-time.
Quantee provides an end-2-end dynamic pricing & modelling platform which allows Insurers and MGAs to efficiently manage the entire pricing process through one user interface. This gives the power back to the pricing teams, allowing them to perform inter-day price changes and build sophisticated pricing models that utilize the latest techniques and insights
- Ultimate efficiency through the pricing process with an end-2-end solution
- Complete flexibility to be able to build any type of pricing model easily
- Deploy rapidly to market with a pre-integrated pricing engine with API connectivity
- Industry challenge
- The solution
- Business benefits
The existing market solutions suffer from manual inspection processes, long review times, and additional blocks to productivity. These problems cause delays while frustrating claims processors, repair shops, and customers who rely on their cars.
From Underwriting, through FNOL, to settlements, Ravin AI greatly reduces friction. Our AI-powered assessment of damage combined with Ravin’s seamless video capture experience, produces greater insight, ensures that standards are met from the start, and helps repair shops source the required parts. Saving effort, speeding up claims, and getting people back on the road.
- Cut down claim cycle time to minutes. A customer is guided by the Ravin Inspect app to capture damages with a
mobile app. - Empower and create transparency between insurer, customer, and repair shop.
- Advanced AI ensures high quality, multi-angle capture and limits fraud.
- Repairers receive full visibility and participate in the quote using Ravin’s remote intelligent dashboard.
- Industry challenge
- The solution
- Business benefits
Motorcycles face a disproportionately high accident rate, with fatalities 30 times more likely than in cars. Unfortunately, safety technology for motorcycles lags behind that of cars, contributing to elevated insurance costs. Moreover, motorcycle fleets lack visibility into rider safety aspects, hindering their ability to take data-driven preventive measures or capture video footage in the event of accidents.
Rider Dome utilizes AI to deliver real-time alerts to riders, effectively mitigating critical threats on the road and reducing accidents. Additionally, our Fleet Monitoring Platform equips fleet managers with the real-time data necessary to monitor, track, and measure fleet safety.
- Improve motorcycle riders’ safety, leading to a reduction in accidents
- Generate significant savings for fleets by addressing both direct and indirect costs associated with motorcycle accidents
- Enable insurance companies to offer advanced solutions that mitigate rider risks and support data-driven insurance decisions
- Industry challenge
- The solution
- Business benefits
Several industry reports estimate fraud to be around 10% of the entire insurance gross written premium for P&C. This represents total losses of more than $40 billion for P&C insurers in the US and more than $55 billion for P&C insurers in Europe. In addition, fraudsters are becoming more innovative, deploying complex fraud patterns. SIU teams find that rules-based solutions are less reliable and more labour-intensive when faced with novel fraud techniques.
Shift Claims Fraud Detection is an AI-native solution that lets investigators discover more fraud, faster, and throughout the entirety of the claims process. Our solution leverages the collective knowledge of over 200 data scientists and over 100 external data sources – including trusted fraud detection resources such as Lexis-Nexis and the NICB. G71By combining insurance-specific intelligence and data, Shift Technology creates a solution that lets investigators find and mitigate more fraud while encountering fewer false positives. This improves the customer experience and creates cost savings that P&C insurers can pass on to their policyholders.
- Powerful AI solution grows hit rate by 3x
- Reduce false positives to drive more efficient workflows
- Identify both simple and sophisticated fraud techniques
- Clear context for 60% faster resolutionShift Technology is enabling P&C insurers to see more, do more, and be more for their policyholders. Decisions shape the insurance industry. P&C insurers must make the correct decision, quickly, in every policyholder interaction, from underwriting to claims and beyond. Shift’s AI solutions effectively automate and optimize insurance decisions, liberating insurers to innovate and find new ways to be there for their customers.
- More accurate decisions about fraud and misrepresentation at the point of underwriting and policy
activation to reduce leakage - AI-native claims fraud detection that effectively identifies individual and network fraud schemes and
provides contextual guidance for investigators - More efficient and accurate decisions at the point of claims first notice of loss (FNOL), including AI
document intake and analysis, and verification of claims details - More efficient use of human expertise thanks to insurance-trained AI that can handle many routines and
complex tasks - Support for compliance efforts including Know Your Customer (KYC) and Anti-Money Laundering (AML)
initiatives
- Industry challenge
- The solution
- Business benefits
- Hear from our partners
In competitive marketplaces, the need to identify and underwrite profitable risks and portfolios for sustainable top and bottom line growth becomes ever more critical for results and shareholder return. Underwriting inefficiencies, quality of data and fragmented data sources puts even more pressure on operational expenses and costs of acquisition, whilst the challenge of ESG within portfolios and at point of risk assessment is increasingly under scrutiny.
Commercial Insurance Insights, which runs on on Swiss Re plug-and-plug analytics platform Impact+, brings together P&C risk information and market insights covering over 100 million SME and Mid-Market companies globally, that can be accessed seamlessly via APIs with the data embedded with Sapiens’ underwriting workbench. Insights modules include Market Insights, Man-made and NatCat, Liability and Sustainability risk insights.
- Identify the most attractive target segments in granular industry and client level
- Extensive risk assessment with integrated Swiss Re risk models
- Sustainability risk assessment
- Portfolio data integration and benchmarking
- Single risk evaluation on fingertips
- Automatic due diligence on company evaluation
- Industry challenge
- The solution
- Business benefits
Modern insurance companies are built on enterprise software. Technology adoption challenges with insurance applications and frequently changing rules and regulations significantly impact productivity and processing policies or claims errors. This results in higher-than-planned operational costs & low technology returns for insurers. Insurance companies also face challenges like:
● A lack of self-service experiences for agents & customers, resulting in a loss of productivity and higher support volumes.
● Slow, ineffective management of changes in internal processes, rules, and external regulations leading to errors.
● High employee churn that requires focused agent training experiences.
Insurance applications click better with Whatfix. Whatfix is the AI-native Digital Adoption Platform built for the modern insurance enterprise. It’s the only platform to unify pre-production simulation training, in-workflow guidance and support, and adoption analytics for continuous optimization, driving business outcomes like faster quoting, accurate claims processing and reduced training costs.
- Accelerated time-to-proficiency for new insurance agents and policyholders with hands-on training
experiences - Maximize insurance technology ROI by achieving optimal end-user adoption
- Easily facilitate change
- Defect support issues and enable end-users with on-demand self-service experiences
- Reduction in insurance technology training costs
- Track and analyze end-user behavior to identify areas of improvement and optimize workflows
- Industry challenge
- The solution
- Business benefits
Pricing sophistication and agility is increasingly key to success in personal and commercial lines insurance. Insurers often need the ability to deploy rates and algorithms in real time, to test their performance against strategic objectives and to deploy at scale, all within a tightly governed process. They also need to exploit the benefits of machine learning models in the pricing process, from rate calculations, to demand and retention models, and be 100% sure that deployed rates are exactly what they had planned.
Radar enables prices, rules, adjustments, scores and other metrics to be developed and deployed 100% accurately, directly to a rating system and calculated in real time. In markets where regulation permits, this can include policy or risk-level optimisation.
- Pricing sophistication, permitting both simple and highly complex pricing methodologies
- Rapid reaction to market developments
- System scalability that can cope with hundreds of millions of quotes per year
- Protection of robust audit and governance controls
- Direct and error-free rate deployment