Future-proof insurance systems with proven engineering expertise
Custom insurance software does more than digitize existing processes – it makes them faster, more accurate, and easier to operate at scale. Neontri achieves this by applying 13+ years of engineering experience, modern architectures, and data-driven design to deliver resilient systems built for long-term growth.
Insurance software development is the design, engineering, and deployment of custom digital solutions for insurance operations. This includes claims management systems, underwriting automation, policy administration platforms, customer self-service portals, data analytics tools, and regulatory compliance software.
Most insurers reach a point where their existing platforms can no longer keep pace with operational demands, regulatory pressure, or customer expectations. Custom-built solutions solve that by being engineered specifically around each organization’s workflows, insurance lines, and compliance requirements – not the other way around.
Neontri builds those solutions with one focus: measurable outcomes. Faster claims cycles, more accurate underwriting, lower loss adjustment expenses, and customer experiences that work the way modern policyholders expect. Our engineering teams have spent over a decade building high-transaction financial systems, and that depth of experience in security, compliance, and system reliability now applies to every insurance project we take on, from single-function claims tools to full-scale core platform replacements.
Leverage high-precision software that converts massive data inflows into instant, actionable insights by synthesizing third-party data streams with configurable rating logic and automated pricing recommendations. Standard submissions move through the system automatically, while complex cases are routed to human review, empowering underwriting teams to accelerate throughput without sacrificing accuracy.
We engineer claims management ecosystems that turn the industry’s most complex friction point into a streamlined engine for growth. By applying high-velocity architecture and enterprise-grade security, our solutions replace manual bottlenecks with configurable workflows and intelligent document ingestion that dramatically slash cycle times and lower loss adjustment expenses.
We architect policy administration systems that manage the full lifecycle – quoting, binding, issuance, endorsements, renewals, and cancellations – across multiple insurance lines. Configurable product definitions and real-time premium calculations mean launching a new product or entering a new market is an operational decision, not a development project.
Accelerate decision-making and operational efficiency by integrating intelligent automation into every stage of the insurance lifecycle. From deploying computer vision for instant damage assessment to utilizing natural language processing for automated submission triage, we build AI solutions that eliminate manual bottlenecks, improve underwriting accuracy, and drastically reduce the time from first notice of loss to settlement.
By applying the same rigorous engineering standards used to build mobile banking apps for millions of users, we deliver native and cross-platform solutions that simplify complex insurance processes while meeting strict regulatory requirements.
Drive new revenue streams by seamlessly integrating insurance products into third-party ecosystems, such as e-commerce platforms, travel sites, automotive dealers, and fintech apps, to offer coverage at the point of sale. Our API-first architecture enables real-time quoting and instant policy issuance within non-insurance platforms, allowing you to meet customers where they already shop while maintaining full control over risk assessment and regulatory compliance.
To outperform competitors in a rapidly evolving landscape, PKO Bank Polski required a mobile banking solution built on enterprise-grade security, cross-platform compatibility, and a modular architecture. We met this challenge by developing a sophisticated mobile framework that prioritizes performance and scalability, creating a robust foundation that supports continuous iteration and high-speed feature delivery at scale.
The engineering challenges mastered here – regulatory compliance, high-frequency transactions, and millions of concurrent users – are the same complexities that define mission-critical insurance platforms. By successfully delivering a banking app of this scale, we have proven we possess the technical rigor and discipline required to build your next insurance system.
In response to PSD2, we co-developed a centralized hub serving as a secure gateway for hundreds of financial institutions. This solution enabled over 300 Polish banks to connect seamlessly with third-party providers, ensuring full regulatory compliance under tight deadlines while facilitating secure, standardized data exchange across the entire banking ecosystem.
The same integration discipline and integration architecture that made that system work now applies directly to insurance: connecting with external data providers, managing payment flows, and meeting data residency requirements across jurisdictions.
To outperform competitors in a rapidly evolving landscape, PKO Bank Polski required a mobile banking solution built on enterprise-grade security, cross-platform compatibility, and a modular architecture. We met this challenge by developing a sophisticated mobile framework that prioritizes performance and scalability, creating a robust foundation that supports continuous iteration and high-speed feature delivery at scale.
The engineering challenges mastered here – regulatory compliance, high-frequency transactions, and millions of concurrent users – are the same complexities that define mission-critical insurance platforms. By successfully delivering a banking app of this scale, we have proven we possess the technical rigor and discipline required to build your next insurance system.
In response to PSD2, we co-developed a centralized hub serving as a secure gateway for hundreds of financial institutions. This solution enabled over 300 Polish banks to connect seamlessly with third-party providers, ensuring full regulatory compliance under tight deadlines while facilitating secure, standardized data exchange across the entire banking ecosystem.
The same integration discipline and integration architecture that made that system work now applies directly to insurance: connecting with external data providers, managing payment flows, and meeting data residency requirements across jurisdictions.
“A solution co-developed with Neontri has reduced the number of queries directed to the central system, resulting in lower infrastructure costs and customer service time.”
Piotr Durakiewicz
Team leader – departament of electronic banking applications
“The IT specialists they provided possessed the necessary experience and required competencies. We recommend Neontri as a trustworthy and reliable business partner.”
Wojciech Moraczewski
Senior Manager
“Neontri’s execution and deep understanding of corporate processes made our project remarkably smooth. Their extensive enterprise experience delivered impressive results from solution to implementation.”
Patryk Dąbrowski
Head of Software Development
“Neontri stood out with their commitment, technical competence, and understanding of KIR’s business needs.”
Robert Trętowski
Vice president
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We don’t believe in “one-size-fits-all” solutions. Instead, we architect your insurance software by carefully selecting a technology stack that aligns with your unique business drivers. Whether your priority is ironclad security for sensitive policyholder data, massive scalability for high-volume claims processing, or seamless integration with complex legacy ecosystems, every tool we choose is justified.
Backend:
Kotlin, Java, C++, Python, Spring Boot, Camel, Neontri Enterprise Application Framework
Mobile:
Kotlin Multiplatform, Native (Swift, Kotlin)
Web frontend:
Angular, React, Vue.js
Cloud and infrastructure:
Google Cloud, AWS, Microsoft Azure
DevOps and CI/CD:
Docker, Kubernetes, Jenkins, GitLab CI/CD, Gerrit, Terraform, OpenShift
Data and analytics:
Apache Kafka, Cassandra, Elasticsearch, PostgreSQL, OracleDB, MongoDB, Redis
Power BI AI/ML:
TensorFlow, PyTorch, OpenAI API, custom ML pipelines, Anthropic Claude Code
Integration:
REST APIs, GraphQL, SOAP, message brokers (RabbitMQ, Kafka)
Security:
OAuth 2.0, SSO/SAML, encryption at rest and in transit, WAF, SIEM, mTLS, QWAC
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This model is designed for projects where the scope evolves over time, and flexibility is essential. Billing is based on the actual effort invested, using agreed hourly or daily rates, which allows continuous adjustment as requirements shift.
It offers full visibility into progress, timelines, and resource usage, making it easier to reprioritize features or adapt to new regulatory or business needs without formal contract changes.
This approach is particularly effective for complex insurance projects such as early-stage platform development, integrations with multiple third-party systems, or legacy modernization, where hidden complexity emerges gradually.
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This approach enables organizations to launch and scale software without immediately investing in internal capabilities. It is particularly valuable for insurtech startups validating a new insurance product, established carriers testing a new digital distribution channel, or organizations that need to move fast now.
We take responsibility for building the solution, running and optimizing it during an initial phase, and preparing it for long-term sustainability. Once the system reaches maturity, we transfer full ownership and control to the client, including documentation, processes, and, optionally, the team itself.
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In this model, we assemble a team that works exclusively on a single project, providing continuity, focus, and deep domain alignment. While priorities remain under client control, execution, team management, and delivery consistency are handled by Neontri.
It is well-suited for long-term insurance initiatives that require ongoing development, maintenance, and iterative improvement. In addition, it encourages team ownership and deep domain knowledge, which translate into higher efficiency and quality.
The dedicated team model is ideal for running a multi-year core platform replacement, maintaining and scaling a policy administration system, or building internal engineering capacity in partnership with an external partner.
