Custom Software Development for Insurance

Custom platforms for insurers, MGAs and brokers: quote/bind/issue, claims, telematics and broker portals that pass an IDD audit and survive a CAT-loss week.

What Insurance Software Delivers

• Quote engines that load in milliseconds: Insurance buyers are MGAs launching a niche product (e-bike, pet, parametric travel), brokers consolidating placement with carriers across multiple legacy back-offices, and traditional insurers replacing 30-year-old core systems one ring at a time. The reality on the ground is policy administration systems written in COBOL or RPG, claims handlers working from Excel and email, and a regulator (DGSFP in Spain, EIOPA in Europe, the state DOIs in the US) asking for reports the legacy systems do not produce. We build the modern layers (quote engines, distribution portals, claims orchestration) and integrate them carefully with the core system instead of pretending to replace it overnight.
• Claims management with fraud signals: FNOL via web, app or voice, photo intake with AI-driven damage estimation for motor and property, anomaly scoring against the customer history and against industry-wide patterns where carriers participate (TIREA in Spain, ISO ClaimSearch in the US). Suspicious claims are not auto-rejected: they are auto-flagged for human review with the evidence ready.
• Broker and agent portals that get used: Single sign-on for brokers across products, instant comparison across carrier panels, document upload that pre-fills proposals via OCR, commission statements that brokers actually understand. We replace fax-and-email placement workflows with portal placement, and we measure the broker NPS afterwards.
• Telematics and embedded insurance: OBD dongle, smartphone-only telematics, e-bike GPS units: we ingest, normalise and score driving behaviour with proper event-stream architecture (Kafka + Flink). For embedded insurance, we have built API-first products that car dealers, marketplaces and rental platforms quote in their own checkout in under a second.
• Reinsurance and treaty management: Per-policy and bordereau-level cession against quota share, surplus and excess-of-loss treaties, IBNR triangulation, monthly bordereau generation in the formats Munich Re and Swiss Re actually accept. We will not pretend we replace your reinsurance broker: we replace the spreadsheet they hate.
• Solvency II and IDD reporting awareness: We are not actuaries, but we build the data foundations actuaries need. Granular per-policy data with proper effective-date versioning, claims triangles, exposure data tagged by LoB, the audit trail every IDD demands review needs. Plus the IPID document generation in the format the regulator approved.

How We Build Your Insurance Software

1. Product taxonomy workshop: We convert the product spec from the actuarial team into a machine-readable model: coverages, factors, limits, deductibles, exclusions, endorsements. This document drives every other piece of work.
2. Distribution channel design: Direct, broker, embedded, white-label: each channel needs different UX and different data flows. We design the API and the UX per channel before writing the rate engine.
3. Quote-to-policy spine: Quote engine, eligibility rules, decline reasons, binding workflow, document generation (proposal, policy, IPID), payment collection (single, recurring, broker-mediated). The boring spine that has to be airtight.
4. Claims orchestration: FNOL channels, triage, assignment to handler, peritaje workflow with mobile app for the assessor in the field, reserve setting, settlement, recovery and salvage flows.
5. Pilot with one product, one channel: We launch one product through one channel first. Two months of clean data, then we expand to the rest of the matrix.
6. Regulator and audit pack: We hand over the documentation a DGSFP or DOI inspection actually asks for: data lineage, rate change controls, claims handling timeliness reports, complaints register integration.

High-performance stack used by global leaders

React/Next.js/Angular on the frontend and Java 21 + Spring Boot + PostgreSQL 14 on the backend: the same stack that BBVA, ING, and Netflix use for their security and performance.

Insurance Software: FAQ

How much does it cost to build an insurance software product?

A focused quote/bind product for an MGA, €70,000-€140,000. A full platform with claims, broker portal and accounting, €180,000-€450,000. Replacing a legacy core insurance system in slices typically runs €350,000+ and is delivered over 12-24 months, never as a single big-bang.

How long does implementation take?

A new product to market in 12-16 weeks for a focused MGA scenario. A broker portal in 14-20 weeks. Claims platform, 5-7 months because the workflow variants are many and the integrations with assessors and repair networks are slow to negotiate.

Are you familiar with insurance regulations?

Yes. The Insurance Distribution Directive (IDD), Solvency II Pillar 1/2/3 reporting at the data level we have to feed, the Spanish LOSSEAR and ROSSEAR, the IPID requirement, the EU Insurance Recovery and Resolution Directive coming into force, plus the data privacy specifics for health and motor insurance under RGPD Art. 9. For US clients we work with state-by-state DOI requirements and SERFF filings.

Can you integrate with our policy administration or claims system?

Yes. Guidewire (PolicyCenter, ClaimCenter, BillingCenter) via the Cloud APIs and InsuranceSuite, Duck Creek, Sapiens, MAPFRE-internal stacks, EIS, Insis, Tia. Reinsurance: SICS, the SCOR PartnerRe APIs, ETF for treaty bordereau exchanges. Data services: TIREA (CICOS, FIVA), ASNEF, FRISS for fraud.

How do you handle data residency and policyholder privacy?

EU policyholder data stays in EU regions. Health data and biometric telematics are kept under stricter access controls (RGPD Art. 9). Policy and claims data are retained according to the legal retention periods (10 years for non-life claims in Spain, longer for life and health). Right-to-erasure is honoured with a balancing test against the legal retention obligation.

Can you build the actuarial extracts the team needs?

Yes. Triangle data extracts in CSV / Parquet for actuarial tools (R, Python with chainladder, Tyche, Synthesys), exposure-by-risk-factor cubes, and standardised templates for the QRT submissions to the supervisor. We design the data warehouse so the actuaries do their own reruns without engineering on the critical path.

Can you handle motor telematics specifically?

Yes. We have ingested OBD dongles (Octo, Movildata), smartphone SDKs (Cambridge Mobile Telematics-style architecture, in-house alternatives), and connected-car APIs from manufacturers (BMW CarData, Toyota Connected). Behaviour scoring, crash detection (with false-positive filters that matter), and the consent flows GDPR demands when location is personal data.

Do you build customer self-service apps?

Yes. Native iOS and Android, or React Native when the product justifies it. Quote and rebind, claim FNOL with photo capture and live video for assessor calls, document vault, premium adjustment workflow, and proper push notification for renewal nudges. The app reduces the call centre load measurably, which is usually the business case.

Do you work with clients globally?

Yes. We work fully remote with clients across Spain, Europe, the US and LATAM. Time zones, video calls and live demos at every milestone.