Insurtech software development services

N-iX provides a wide scope of insurtech software development services, delivering disruptive insurtech solutions that will enable you to increase customer satisfaction, automate processes, ensure compliance, and expand market reach.

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Be the one to shape the industry

The insurtech sector is grappling with rising regulatory burdens, data privacy requirements, and the challenge of maintaining innovation. The need to swiftly and effectively tackle acute and systemic issues, and the necessity for diverse tech and industry expertise, scalability, and adaptability, all make outsourcing insurtech software development services an increasingly appealing option for insurance companies aiming to stay competitive in a rapidly evolving market.

N-iX has over 21 years of experience helping forward-looking companies build innovative and secure solutions. Leveraging our expertise in advanced technologies such as AI, data analytics, IoT, cybersecurity, and more, insurtechs can propel change and gain a competitive edge. To deliver top-quality products, we apply proven agile methodologies, build effective CI/CD, consider industry regulations as well, and engage leading architects, UX designers, and certified product managers across our entire organization for every project we take on in financial software development. Whether you need to launch a new product, expand an existing one, modernize your solution, or integrate it with an external or internal system—we have the experience to ensure the success of your endeavor.

N-iX delivers a wide scope of insurtech software development services

Custom platforms

  • Policy management
  • Claims management
  • CRM systems
  • Underwriting platforms

Document processing

  • DMS, centralized platforms for storing, retrieving, and managing digital documents
  • Document workflow automation
  • OCR and AI solutions for categorization and search

Fraud prevention

  • Real-time and embedded fraud detection
  • Automated claims verification

Comprehensive data governance

  • Build data warehouse
  • Data management
  • Data cleansing
  • Data governance
  • Data migration to the cloud

Cybersecurity

  • Data Loss Prevention systems
  • Network security
  • Endpoint security
  • Identity and Access management
  • Security Information and Event Management (SIEM)

Data science and ML solution

  • Risk assessment
  • Predictive modeling
  • Dynamic and UBI pricing
  • Market analytics

Application design and UI/UX

  • UX and Product Design
  • Mobile app development

API integration

  • Integrate with payment providers
  • Unify and integrate internal systems

Gen AI for insurtech

  • Document generation
  • Chatbots and customer service solutions
  • Synthetic data for security testing

What challenge can we help you overcome with insurtech software?

  • Maximize the value of the collected data

    The vast amount of data that insurtechs collect and store is not a burden but a major advantage that, if wielded properly, can bring immense benefits. Embracing advanced data analytics and management techniques can turn data into a key driver of growth, boosting efficiency, gathering actionable insights, and unlocking new opportunities.

  • Enhance the customer experience and build customer trust

    Competing with well-established companies, a superior customer experience is the main advantage of insurtechs. Using data analytics to understand individual customer needs allows for personalized communication, experiences, and products. Advanced features like chatbots and AI-driven customer service can further enhance responsiveness and satisfaction.

  • Protect your organization against fraud and cybersecurity threats

    ML algorithms can distinguish between normal and suspicious behavior in real-time. They analyze consistency in claims, behavioral data, network information, and other signs to send alerts and minimize damage.

  • Create new sales opportunities

    Finding new business models in insurtech requires integrating with the legacy systems of traditional insurers, third-party services, and other businesses. This integration relies on robust internal systems and well-designed connectivity to ensure smooth and efficient operations.

Our featured case studies in finance and insurtech Case studies

Compliance and industry recognition

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Why choose N-iX as your insurtech solution provider?

21

Years on the market

300+

Tech experts with financial services domain knowledge

250+

Successfully delivered finance projects

25+

Active finance clients

Certified Product Mangers

with wide experience delivering successful solutions

50+ DevOps experts

experienced in building effective CI/CD and streamlining the SDLC

100+ Product Discoveries

delivered every year by N-iX consultants

CRN

Solution Provider 500 leader

Frequently asked questions about insurtech software development services

Insurtech is crucial because it helps insurers become more efficient, reduce costs, and offer better services to their customers. By integrating modern technology, insurance companies can automate tasks, gain better insights through data analytics, enhance fraud detection, and provide personalized insurance products and services.

Common features include automated claims processing, AI-driven underwriting, customer self-service portals, policy management systems, fraud detection mechanisms, and advanced data analytics. Additionally, much insurtech software offers mobile compatibility, ensuring customers can access services anytime, anywhere.

Insurtech software improves customer experience by providing faster and more accurate services. For instance, automated claims processing can significantly reduce the time it takes to settle claims. Self-service portals and mobile apps allow customers to manage their policies, file claims, and get support without having to contact an agent, offering convenience and accessibility.

AI offers numerous benefits, including enhanced risk assessment, personalized policy recommendations, efficient claims processing, and better fraud detection. AI algorithms can analyze large datasets to identify patterns and trends that humans might miss, leading to more accurate underwriting and proactive risk management.

Yes, solutions can be tailored to meet the specific needs of various insurance types, including health, life, auto, home, and commercial insurance. Customization allows insurers to address unique challenges and requirements, providing more relevant and effective services to their customers.

Challenges include data security concerns, integration with legacy systems, regulatory compliance, and the need for ongoing maintenance and updates. Additionally, there might be resistance to change from within the organization, requiring strategic change management efforts.

Insurers should consider the provider’s experience, technological expertise, and ability to offer scalable and secure solutions. It’s also important to look for a provider that understands the specific needs of the insurance industry and can offer reliable customer support and maintenance services.

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