Leobit
AI in
Insurtech
Build smarter, safer insurance platforms with Leobit
Digital & App Innovation
Platinum Partner
Global Tech Award — AI
Quality management
systems / Information security management
Silver Stevie Award 2025
Top 1000 Companies by Clutch
ISO 9001:2015
ISO 27001:2022
Silver Stevie Award 2025
Top 1000 Companies 2025
Top .NET Developer 2025
Global Business Tech Awards
Apps & Software
Digital & App Innovation
Platinum Partner
Why Insurance Companies Choose AI Development
.what we do
Insurance operations run on data, decisions, and documents. AI is now handling all three faster and more accurately than manual processes ever could, from underwriting risk models to claims resolution workflows.
For carriers, MGAs, and InsurTech startups, the competitive pressure is clear. Insurers who harness AI deliver faster decisions, lower fraud losses, and customer experiences that legacy platforms simply cannot match.
Leobit builds AI-powered platforms for insurance companies that work in production, meet regulatory requirements, and scale with your business. Our engineers have delivered AI solutions for insurance carriers, MGAs, and InsurTech platforms across multiple markets.
Top 5 AI Use Cases
We Deliver for Insurtech Clients
AI-Powered Underwriting and Risk Assessment
Your underwriting team makes better decisions when they have better data. We build ML models that process structured and unstructured inputs, whether that is telematics, IoT signals, medical records, or property data. The result is faster, more accurate risk evaluation on every submission.
Intelligent Claims Processing and Fraud Detection
Manual review cannot scale. We build AI models that analyse behavioural patterns, document authenticity, and historical claims data to catch fraud before payouts happen. Legitimate claims move faster. Suspicious ones get flagged earlier.
Automated KYC, AML and Regulatory Compliance
Onboarding a new policyholder should not take days of manual checks. We automate identity verification, document extraction, and compliance monitoring so your team meets regulatory requirements without the operational overhead.
AI Virtual Assistants and Personalised Policy Recommendations
Your policyholders expect answers at any hour. We build conversational AI tools that handle routine support, surface relevant coverage recommendations, and free your service teams to focus on cases that actually need a human.
Predictive Analytics for Risk Modelling and Churn Prevention
The best time to retain a policyholder is before they decide to leave. We build predictive models that identify at-risk customers early and give your retention teams enough lead time to act.
AI Solutions We Build for Insurance Companies
We engineer end-to-end AI solutions across the full insurance value chain, designed from the ground up for the compliance requirements, data characteristics, and integration constraints of the insurance industry.
Intelligent Claims Processing Systems
Real-Time Fraud Detection and Anomaly Monitoring
Automated KYC and AML Verification
Predictive Risk Modelling and Actuarial Analytics
AI Virtual Assistants and Policyholder Chatbots
Personalised Policy Recommendation Engines
Smart Document Processing and OCR Automation
AI-Enabled Regulatory Compliance Monitoring
AI-Powered Underwriting Engines
business impact
The impact shows up at every stage of your insurance operation. Underwriting, claims, compliance, customer service — all of it.
Faster Underwriting Decisions
Lower Fraud Losses
Shorter Claims Cycle
Better Customer Experience
Lower Operational Costs
Cleaner Regulatory Compliance
More Accurate Risk Pricing
Who Our InsurTech AI Solutions
Are Built For
Property and Casualty Carriers
We help carriers automate the workflows that slow underwriting, claims, and compliance teams down. The result is faster decisions, fewer fraud losses, and less manual overhead across the operation.
Life and Health Insurers
Processing medical documents, modelling mortality risk, and keeping policyholders engaged across long policy lifecycles are problems AI solves well. We help you apply it without disrupting the core systems your business runs on.
InsurTech Startups and MGAs
You need to move fast and build something that holds up as you grow. We build AI tools that work on day one and scale with your product, without the shortcuts that create technical problems down the road.
Reinsurance Companies
Accurate treaty pricing depends on how well you understand your exposure. We build risk aggregation models and portfolio analytics tools that give your team a clearer, more current view of the data behind those decisions.
Insurance Brokers and Agencies
We build AI tools that handle quoting, admin, and policy comparisons so your agents spend more time on client conversations and less time on paperwork.
Our Approach to InsurTech AI Solution Development
Technology Consulting
We start with a Discovery Phase to map your workflows, data assets, and regulatory constraints. This gives us a clear picture of where AI creates real value, which problems to solve first, and what measurable outcomes to build toward.
AI Strategy and Solution Design
We translate your business objectives into an AI roadmap and system architecture. Every decision is grounded in your data readiness, scalability requirements, and insurance compliance constraints.
Data Preparation and Model Training
Good models start with clean data. We prepare and structure your policy records, claims histories, and telematics feeds, then train and validate models against real-world performance standards before production.
Model Integration and Testing
We integrate AI into your existing policy admin, claims management, and CRM systems without replacing what already works. Every integration goes through regression, performance, bias, and security testing before it goes live.
Compliance and Risk Assurance
Every model we deliver is validated against GDPR, HIPAA, Solvency II, NAIC, and IFRS 17. We build in explainable AI outputs, audit logging, and model drift monitoring so your compliance team always has what they need.
Estimate Your
Software Project Cost
Leobit’s software cost estimation tool that transforms your project idea into a clear, structured budget breakdown. Powered by an AI assistant, it delivers complexity level, development effort in hours, recommended team composition, and an estimated budget range in just a few minutes.
Why Choose Leobit for InsurTech AI Development
- Proven experience delivering AI and data-intensive solutions for insurance carriers, MGAs, and InsurTech platforms across multiple markets.
- Deep expertise in AI/ML, .NET, Azure, and cloud-native architectures used across insurance core systems.
- Microsoft Solutions Partner for Digital and App Innovation and Data and AI.
- ISO 9001:2015 and ISO 27001:2022 certified. ISTQB Platinum Partner.
- Aligned with GDPR, HIPAA, CCPA, OWASP, Solvency II, NAIC guidelines, and IFRS 17 from day one.
- Silver Stevie Award 2025. Global Tech Award for Artificial Intelligence 2025. Clutch Top 1000 Global Service Provider 2025.
FAQ
Claims processing, underwriting support, fraud detection, document review, and customer triage are the highest-impact starting points. These are high-volume, rule-intensive processes where automation reduces cost and processing time without requiring a full system overhaul.
A focused MVP typically takes 8 to 16 weeks from discovery to production. Timeline depends on data readiness and integration complexity. We provide a detailed roadmap after the discovery phase.
No. Messy or siloed data is common in insurance. We assess your data during discovery and build around its current state. Higher-quality data improves model accuracy, but it is not a prerequisite for starting.
Yes. We integrate with legacy core systems and modern insurance platforms including Guidewire, Duck Creek, and Majesco, via REST APIs, event-driven architecture, or direct connectors. We design the integration layer based on your current stack.
We build AI systems with auditability in mind. Outputs are logged, decisions are traceable, and human-in-the-loop checkpoints are included where regulations require them. Compliance requirements are addressed at the architecture stage.
