Reviewed by Dr. Dmytro Nasyrov, Founder and CTO
InsurTech platforms, claims processing automation, underwriting systems and policy management solutions.
Aligned with these frameworks. Audit reports and certifications available on request.
Reviewed by Dmytro Nasyrov
Founder and CTO
23+ years in custom software development. Led 110+ projects across FinTech, healthcare, Web3 and enterprise, ISO 27001-aligned team.
Custom insurance software gives you regulatory ownership, proprietary underwriting models and direct carrier economics, while InsurTech platforms (Cover Genius, Qover, Bolttech, Stripe Insurance, Tint) ship in weeks with inherited licensing. According to a 2024 McKinsey Insurance 2030 report, 67% of embedded insurance launches since 2021 started on InsurTech platforms - and the ~25% that moved to custom did so when volume, margin or differentiation made the switch worthwhile.
| Factor | Custom insurance software | InsurTech platform |
|---|---|---|
| Time to launch | 4-7 months for an MVP with carrier integration | 2-8 weeks for a basic embedded insurance launch |
| Regulatory model | You (or your partner) hold the carrier/MGA license | Platform holds the licensing; you operate as a distribution partner |
| Product flexibility | Any product the carrier supports | Only products the platform has built |
| Unit economics | Direct carrier relationship; margin captured by you | Platform markup of 5-15% of GWP + SaaS fees |
| Compliance effort | Heavy: client compliance team owns the program | Shared: platform handles platform compliance |
| Differentiation | Full control over underwriting, pricing, claims workflows | Limited to distribution UX and product selection |
| Cost (year 1) | $200,000-$600,000+ build + ~$15,000/month retainer | $5,000-$40,000/month in platform fees + per-policy costs |
| Best fit | Mid-market carriers, full-stack InsurTech, scale-stage distribution | Embedded insurance MVPs, direct-to-consumer launches, travel/e-commerce |
Insurance software projects follow Pharos Verified Delivery with insurance-specific gates: discovery includes regulatory mapping by state/country plus actuarial coordination; build includes policy and claim state machines with full audit trails; production readiness covers regulator-ready reporting plus examiner walkthroughs; support includes quarterly regulatory change reviews and actuarial collaboration workflows.
Pharos Verified Delivery applied to 110+ production applications since 2013
Three insurance engagements across policy admin, claims and distribution. Client partners hold the carrier licensing.
Travel marketplace wanted to offer trip insurance but partnering with 12 insurers meant 12 different API integrations, contracts and compliance requirements. Launch delayed 9 months.
Pharos-built insurance distribution API abstracted 12 insurers behind one integration. Launch time cut to 6 weeks per new insurer partner. Attach rate on insurance at checkout 23%, generating $4.2M ARR in the first year.
We built the API as a normalized contract over insurer-specific integrations. The marketplace only sees one API; we maintain the insurer-specific adapters. New insurer onboarding is now a data mapping exercise, not a re-integration.
Claims processors manually extracted 40+ fields from scanned documents. Average processing time 22 minutes per claim with 8% data entry error rate. Customer satisfaction on claims at 38%.
OCR + CV pipeline with automated field extraction, risk scoring and payout routing. Claims processing time down to 35 seconds for low-risk cases, 2-3 minutes for human-review cases. Customer satisfaction up to 74%.
Low-risk claims with clean documentation auto-approve within 35 seconds of submission. Medium-risk go to a 2-3 minute human review with pre-populated fields. High-risk go to adjuster review. Processors redeployed to fraud investigation where human judgment adds value.
Policy administration on a 28-year-old green-screen system. New product launches took 6-9 months. 40% of developer time spent on legacy system integration work.
Modern policy administration API layer + product configuration engine sitting on top of the legacy system. New product launch time down to 4-6 weeks. Developer productivity recovered as legacy system calls were abstracted behind a clean API.
We did not replace the core - we abstracted it. The configuration engine lets product managers launch new products through a config UI; the API layer translates to legacy system calls. The core can be replaced later without touching the product layer.
Client names anonymized under NDA. Full case studies at /cases/.
We decline roughly 30% of RFPs we receive. Forcing a bad fit costs both sides 3-6 months and damages outcomes. Here is how we think about scope:
For early-stage embedded insurance and direct-to-consumer products, platforms like Cover Genius, Qover, Bolttech and Stripe Insurance ship in weeks with inherited licensing and compliance. Custom insurance software makes sense when: you need unique underwriting models, regulatory ownership, proprietary claims workflows or scale that makes per-policy pricing dominate. We have recommended Cover Genius over custom builds for travel and e-commerce embedded insurance.
Pharos insurance portfolio
Ranges we consistently see across 12+ insurance engagements.
Parity with tariff reference fixtures held to within 0.01% on every deploy; historical premium reproducibility 100% from stored version hash.
20-36 weeks from discovery to production-ready multi-product platform including rate engine, binding workflow and basic claims intake[1].
45-65% of straight-through claims auto-adjudicated on stable lines; remainder to human adjusters with structured context packet.
50%+ of insurance engagements involve some legacy system migration; typical phased approach with strangler fig pattern over 12-18 months[5].
6-12 months typical for insurance platforms; covers rate table updates, regulatory filings integration and incident response.
Three shifts are reshaping insurance platform engineering.
First-party auto and property insurers move claims triage ML models from experimental to production-critical. Carriers without ML-assisted claims see measurably higher cycle time and loss-adjustment expenses[1].
MGAs and carriers open policy-binding APIs for embedded distribution via mobility, travel and e-commerce partners. Insurers without modern API estate forfeit embedded distribution economics[11].
Rating engines incorporate cyber risk scores, climate exposure and behavioural telemetry as first-class inputs. Legacy rating platforms without telemetry ingestion become structurally mis-priced[7].
Every insurance platform engagement we ship runs against the same four-dimension readiness evaluation before handover.
Production post-mortem
A specialty insurer platform we shipped in Q1 2025 had a rating engine refactor with a regression that affected a single optional coverage rider for 13 days. Quoted premiums for ~820 policies were 4-7% below tariff. A rate-parity contract test picked up the deviation on deploy of the next minor release, and the policies were flagged for book-of-business correction. No customer impact; carrier absorbed the delta.
Rate-parity contract tests now run pre-merge on every rating-engine change, comparing output against a frozen tariff reference fixture across 5,000+ representative risks. Policy binding now records rate-engine version hash for full auditability.
Published record
Technical articles, comparison guides and methodology deep-dives we write from our own delivery experience.
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Master's degree in Electronics and precision mechanics engineering
Pharos Production offers three project models, MVP, Full-fledged Production and Full-cycle Development, priced from $10,000 to $80,000. An MVP prototype takes about 3 months.
Feature-scoped regulated module with audit trails, logging and readiness for SOC 2 or PCI.
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No. Pharos Production builds insurance software; the client (or a carrier/MGA partner) holds the insurance license. We integrate with client carrier partners or InsurTech platforms (Cover Genius, Qover, Bolttech) but we do not hold insurance carrier, broker, MGA or TPA licenses ourselves. Regulatory licensing, actuarial approval and customer-facing insurance responsibility belong to the licensed entity.
For early-stage embedded insurance and direct-to-consumer launches, InsurTech platforms (Cover Genius, Qover, Bolttech, Stripe Insurance, Tint) ship in weeks with inherited licensing - that is usually the right starting point. Move to custom when: you hit platform pricing or feature ceilings, you need products the platform has not built, you need direct carrier economics at scale or regulatory ownership becomes a differentiator.
Insurance MVP 4-7 months: 4-6 weeks discovery and regulatory review, 12-18 weeks build (policy admin, quote engine, underwriting rules, claims processing, integrations, audit trails), 4-6 weeks integration testing with carrier systems and regulator-aware UAT. Full platform with multi-product support and custom underwriting runs 9-18 months. Regulatory review and actuarial coordination are critical-path items.
Yes. We integrate with Guidewire, Duck Creek, Majesco, Sapiens, Applied Epic and legacy AS/400 systems via SOAP, REST, file-based batch and event-driven middleware.
Common pattern: abstraction layer that isolates the product layer from the core so new products can launch in weeks without touching the core release cycle. We do not recommend core replacement as a first step - modernization around the core is usually a better fit.
Layered approach: (1) OCR + computer vision for document extraction (Textract + custom models); (2) risk scoring model to route claims by complexity (auto-approve, human review, adjuster review, fraud investigation); (3) payout routing and reconciliation; (4) full audit trail for every decision. Low-risk claims auto-approve in under a minute; medium-risk go to human review with pre-populated fields; high-risk go to adjusters.
Insurance is state-by-state in the US and country-by-country in Europe. We map the target jurisdictions during discovery and design the product to meet the strictest requirements across the footprint.
Compliance work includes: audit trails on every policy and claim state transition, regulator-ready reporting exports, data retention rules, consent management and examiner walkthroughs. Actuarial approval is the client responsibility with our software support.
Insurance MVP $80,000-$200,000. Full platform $200,000-$600,000+.
Carrier integration adds $40,000-$150,000 depending on the carrier system complexity. Ongoing retainer from $12,000/month for infrastructure, compliance monitoring and feature iteration. Cost drivers: number of products, jurisdictional complexity, claims automation depth, carrier integration count.
We decline full core replacements without carrier/MGA partners, insurance products without regulatory counsel, underwriting automation without a client-side actuarial partner, products where existing InsurTech infrastructure would ship in weeks and "build our own carrier" projects without a licensing strategy. Forcing an insurance build without the regulatory and actuarial foundation damages everyone.
Insurance rewards teams that treat regulatory complexity as architecture, not paperwork. Pharos ships insurance systems with rate-engine parity testing, state-by-state variant versioning and auditable policy binding from commit level[8].
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