Custom Insurance Software Development Services
Everything you need to start your insurance software project
Consulting on insurance automation
Prototyping or MVP to validate the business idea
Full-Stack development of insurance solutions from scratch
Enhancement and extension of functionality
Integration with other systems, e.g. CRM, ERP, NIPR
Mastering skills above & beyond
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450 business goals reached through tech solutions since 2016
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Addressing Insurance Industry Challenges
What benefits we generate for insurance companies
Expand Services and Increase Engagement
Personalize insurance services with the help of IoT and thorough customer data analytics.
Automate Routine Actions
Complement custom insurance systems with additional modules for calculating commissions, handling policy renewals, and tracking claims.
Improve Transaction Security
Safeguard the transactions you perform against data violation via specialized insurance solutions.
Align prices with your profit objectives and customer expectations.
Enhance the Partner-Agent Relationship
Provide customers with a way to explore your services, acquire services faster, and get personalized offers.
Analyze Insurance Big Data
Get a wealth of insights as to how efficient your insurance processes are.
Advanced Data Analytics
Take use of all data that can help your business grow: internal data that business processes generate, and external data about your customers.
- analysis of user data
- risk detection
- insurance-offer personalization
- thorough reporting
Technologies to Power Insurance Software Development
What else our clients already benefit from
Insurance businesses that work with life, property, and health insurance benefit from using AI for improving customer service, detecting frauds, and boosting operational efficiency. With AI, insurers improve claims turnaround cycles, access data faster, and cut human impact on decision making.
ML is a branch of AI but deserves special mention in insurance technology. Insurers use Machine Learning to improve claims processing, risk assessment, and decision making by automating all of it. ML allows for using pre-programmed algorithms to process data faster and prepare an advanced analysis.
Powerful chatbots are built with the help of AI and ML. They simulate a real person talking to a customer and save tons of organizational time and money. A bot can even walk customers through a policy application process, reserving real employees for more complex tasks.
IoT sensors automatically and seamlessly collect data that will greatly help in analyzing insured customers and the risks they may be exposed to. IoT is a must for connected healthcare, smart cars, smart homes, and hazardous commercial lines.
Telematics now have an impact on auto policies, like an important wearable for an insured person’s car. With IoT-powered equipment, an insurer can obtain data on speed, location, and accidents, which can be analysed to determine a policy premium.
Social Media Data Analytics
Analytics of data gathered from social media play an important role for insurers. Analytics bolster fraud detection capabilities, allow a new level of customer experience, and improve risk assessment.
IoT for Insurance
Apply IoT sensors for connected cars, commercial lines, smart homes, or for connected health to collect data and get benefits:
- fraud recognition
- predictive maintenance
- improved safety
- data insights monetized
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Easy Steps to a Strong Partnership
Starting with HQSoftware 101
Send project requirements
and a technical specification, if there is one
Get a personal proposal
and a project estimation
Start your project
with a team of insurance software experts
Q&A with Insurance Development Company
What is your experience?
Do you develop insurance apps?
How do you build insurance software?
How is your service organized?
How much does it cost to build insurance software?
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