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AI Solutions for Insurance

  • 90+ engineers
  • 13+ years in business
  • 70+ apps delivered

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SOC 2 Type II GDPR ISO 27001 NDA Protected

Aligned with these frameworks. Audit reports and certifications available on request.

Key facts: Pharos Production delivers custom ai solutions for insurance since 2013. Team of 90+ engineers from Las Vegas and Kyiv. 70+ applications delivered for 200+ clients. Rated 5/5 on Clutch (2026). aligned with ISO 27001. Last reviewed: June 2026. Editorial policy.

What is AI for insurance?

AI for insurance is the application of machine learning, natural language processing and computer vision to insurance operations - from automated claims processing and fraud detection to intelligent underwriting and actuarial modeling. Unlike traditional insurance systems that rely on static actuarial tables and manual review, AI-powered InsurTech platforms learn from claims history, adapt to emerging fraud patterns and process unstructured documents (medical records, police reports, property photos) at scale. Common AI insurance project types include automated claims triage and settlement, fraud detection engines, AI-assisted underwriting, document extraction for policy processing, risk scoring models and customer churn prediction.
Dmytro Nasyrov - Founder and CTO of Pharos Production

Reviewed by Dmytro Nasyrov

Founder and CTO

23+ years in software development. PhD in AI. Led AI projects for insurance carriers, MGAs and InsurTech startups. aligned with ISO 27001.

What is AI for insurance?
AI for insurance is the application of machine learning, natural language processing and computer vision to insurance operations - from automated claims processing and fraud detection to intelligent underwriting and actuarial modeling. Unlike traditional insurance systems that rely on static actuarial tables and manual review, AI-powered InsurTech platforms learn from claims history, adapt to emerging fraud patterns and process unstructured documents (medical records, police reports, property photos) at scale. Common AI insurance project types include automated claims triage and settlement, fraud detection engines, AI-assisted underwriting, document extraction for policy processing, risk scoring models and customer churn prediction.

Custom AI for insurance vs vendor AI platforms

Factor Custom AI (Pharos Production) Vendor Platforms (Shift Technology, Tractable, etc.)
Fraud model accuracy Models trained on your claims history and fraud patterns Generic models across pooled industry data
Claims workflow fit Custom automation matching your adjuster workflows and approval chains Standard workflows with limited configuration
Document processing Custom extraction for your policy forms, medical records, repair estimates Pre-built templates for common document types
Regulatory compliance Full explainability, bias testing and state-specific compliance Vendor-managed compliance, limited transparency
Integration depth Deep integration with your PAS, claims system, billing and CRM API-based connectors for supported platforms
Actuarial model control Full access to model architecture, features and training data Black-box pricing, vendor controls updates
Cost at scale One-time development + self-hosted inference Per-claim or per-policy pricing that scales with volume

Pharos Production recommends custom insurance AI for carriers processing 10K+ claims monthly, operating in multiple states with varying regulations or building proprietary underwriting models. Vendor platforms work for small MGAs needing quick fraud screening without custom model requirements.

How to choose an AI development company for insurance

1 Insurance domain expertise alongside ML engineering. The team must understand policy administration, claims adjudication, actuarial concepts and state insurance regulations - not just model training.
2 Production fraud detection experience. Ask for case studies showing fraud models in production with measurable false positive rates, fraud catch rates and investigation cost reduction.
3 Document AI capability for insurance documents. Medical records, police reports, repair estimates and policy forms require specialized extraction models. Generic OCR is not sufficient.
4 Regulatory compliance and model explainability. State insurance departments require explainable rate-making and claims decisions. The team should implement SHAP explanations and bias testing across protected classes.
5 Integration experience with policy administration systems. The team should have production experience connecting AI models to Guidewire, Duck Creek, Majesco or equivalent insurance platforms.
6 Actuarial collaboration capability. AI pricing models must align with actuarial standards of practice. The team should demonstrate experience working alongside actuaries to validate ML-based rate-making.

Pharos Production - Get your InsurTech AI estimate in 48h. Share your claims automation, fraud detection or underwriting AI requirements - our team will deliver a detailed estimate with architecture recommendations. Get a project estimate.

Reviews

Independent reviews from Clutch, GoodFirms and Google - verified client feedback on our software projects

Based on 8 verified client reviews

5 out of 5 stars
AI

Pharos proved to be a dependable partner, adapting as our company evolved with strong technical depth and ownership.

Corey Gottlieb
5 out of 5 stars
AI

Built scalable app aligned with hybrid workflows and user needs.

Tyler Servin
5 out of 5 stars
AI

Strong mobile development expertise with consistent performance across devices.

Harry Maitland
5 out of 5 stars
AI

Reliable delivery, clear communication, and consistent execution.

Erik Ploof
5 out of 5 stars
AI

Highly adaptable team with strong ownership and excellent communication delivering effective solutions.

Molly Lavie
5 out of 5 stars
AI

Handled complex workflows and compliance effectively.

Scott Bates
5 out of 5 stars
AI

Delivered reliable frontend solutions with strong performance and timely execution.

Robin Kim
5 out of 5 stars
AI

Initial strong start but later issues with deadlines, communication, and transparency.

Kenneth Phough

Measurable results

70+ Applications delivered
200+ Clients worldwide
5/5 Clutch rating (2026)
13+ Years in production

AI for Insurance Benchmark 2026

Proprietary research based on AI-powered insurance projects delivered by Pharos Production. Dataset covers claims automation, fraud detection and underwriting AI deployments. Methodology (Pharos Verified Delivery): aggregated delivery metrics with production monitoring data. Full report available on request.

60% Reduction in claims processing costs
90%+ Fraud detection rate with tiered scoring
< 30 sec Automated claims triage time per claim
$50K-$400K+ Project cost range depending on complexity
40% Reduction in fraud investigation costs
12 weeks Average time to production-ready MVP

AI Solutions for Insurance trends shaping 2026

Key technology shifts that impact how Pharos Production architects ai solutions for insurance software for clients.

Agentic AI for Claims Processing

Autonomous AI agents now manage end-to-end claims workflows - from FNOL intake and document collection to damage assessment and settlement calculation. Multi-agent systems coordinate between adjusters, repair shops and policyholders. Pharos Production builds claims agents with human-in-the-loop controls for claims above settlement thresholds.

Computer Vision for Damage Assessment

AI-powered photo analysis estimates vehicle and property damage from policyholder-submitted images. Models detect damage type, severity and repair cost within 30 seconds. Pharos Production builds damage assessment pipelines integrated with repair estimating platforms (CCC, Mitchell, Audatex).

Generative AI for Policy Document Processing

LLMs extract key terms, exclusions and coverage limits from unstructured policy documents, endorsements and correspondence. RAG-grounded extraction ensures accuracy against source documents. Pharos Production builds policy document AI with source attribution and underwriter review workflows.

Predictive Underwriting with Alternative Data

ML models incorporate IoT telematics, satellite imagery, social data and weather patterns into underwriting decisions. Granular risk scoring enables usage-based insurance and parametric products. Pharos Production builds underwriting models with explainability layers for regulatory filing.

AI-Powered Customer Retention

Churn prediction models identify at-risk policyholders 60-90 days before renewal and trigger personalized retention offers. AI analyzes claim experience, premium sensitivity and competitive quoting signals. Pharos Production builds retention engines integrated with CRM and marketing automation platforms.

Catastrophe Modeling with Climate AI

ML models integrate climate projections, historical loss data and property characteristics to predict catastrophe exposure at the individual risk level. Pharos Production builds climate-aware cat models for property and casualty insurers with scenario analysis and portfolio stress testing.

Key takeaways
  • AI for insurance requires both ML engineering expertise and deep domain knowledge - claims adjudication, actuarial standards, state regulations and fraud investigation workflows.
  • The global AI in insurance market is projected to reach $79.86 billion by 2032 at 33.06% CAGR. 70% of insurers are investing in AI for claims and underwriting automation.
  • Custom AI eliminates vendor lock-in, keeps policyholder data in your infrastructure and creates proprietary risk models that competing carriers cannot access.
  • A claims automation MVP starts from $50,000-$120,000 and takes 12 weeks. Full AI-powered underwriting and fraud detection platforms range from $200,000 to $400,000+.
  • Every Pharos Verified Delivery insurance AI sprint includes regulatory compliance validation, bias testing across protected classes and integration testing with policy administration systems.
Limitations and considerations
  • Fraud detection models produce false positives. At portfolio scale with a 3-5% base fraud rate, even 95% accuracy means half of flagged claims may be legitimate. Tiered scoring and human review are mandatory.
  • State insurance regulations vary significantly. AI-based rate-making and claims decisions must comply with each state department of insurance requirements, adding complexity for multi-state carriers.
  • Claims automation requires structured integration with legacy policy administration systems. Guidewire, Duck Creek and Majesco integrations add 4-8 weeks depending on system version and API availability.
  • Actuarial AI models need 3-5 years of historical loss data to capture tail risks and catastrophe patterns. New lines of business or geographies start with traditional actuarial methods until sufficient data accumulates.

Pharos Production - Ready to build your product? From architecture to production - share your requirements and our engineering team will deliver a detailed estimate within 48 hours. Start Your Project.

Choose your cooperation model

Pilot
AI discovery and PoC

Feasibility study, prototype on your data and integration roadmap in four to eight weeks.

$14,000 - $30,000
Popular choice
Production
Production AI system

Full model development, API layer, cloud deployment and MLOps with monitoring.

$35,000 - $80,000
Enterprise
Enterprise AI platform

Multi-model architecture, custom data infrastructure, compliance and hybrid or on-prem delivery.

$70,000 - $160,000

Prices vary based on project scope, complexity, timeline and requirements. Contact us for a personalized estimate.

Or select the appropriate interaction model

Request staff augmentation

Need extra hands on your software project? Our developers can jump in at any stage – from architecture to auditing – and integrate seamlessly with your team to fill any technical gaps.

Outsource your project

From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.

Comparison of engagement models at Pharos Production
Model Best for Team setup Budget range
Staff Augmentation Existing teams needing extra engineers at any project stage 1-2 weeks From $5,000/month
Project Outsourcing Full-cycle development from idea to production launch 1-2 weeks $10,000-$80,000+

An approach to the development cycle

The Pharos Delivery Framework divides every project into 2-week sprints. After each sprint there is a retrospective of the work done, planning for the next sprint, a report of the work done and a plan for the next sprint. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).
  1. Team Assembly

    Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.

  2. MVP

    We’ll design, build, and launch your MVP, ensuring it meets the core requirements of your software solution.

  3. Production

    We’ll create a complete software solution that is custom-made to meet your exact specifications.

  4. Ongoing

    Continuous Support

    Our company will be right there with you, keeping your software solution running smoothly, fixing issues, and rolling out updates.

187+ technologies

Technologies, tools and frameworks we use

Our engineers work with 187+ technologies across blockchain, backend, frontend, mobile and DevOps - chosen for production reliability and performance.

Frameworks

Backend Frameworks 8

Spring Boot
Spring Boot
Erlang OTP
Erlang OTP
NodeJS
NodeJS
Phoenix
Phoenix
NestJS
NestJS
Django
FastAPI
Express.js

Front End Frameworks 8

React
React
Next.JS
Next.JS
Svelte
Svelte
Angular
Angular
Vue.js
Remix
Astro
Nuxt.js

AI and Machine Learning

LLM Providers 8

OpenAI GPT
Anthropic Claude
Google Gemini
Meta Llama
Mistral AI
Cohere
Ollama
xAI Grok

AI Frameworks 15

LangChain
LangGraph
CrewAI
AutoGen
Hugging Face
PyTorch
TensorFlow
scikit-learn
LlamaIndex
Keras
XGBoost
LightGBM
OpenCV
spaCy
ONNX Runtime

Vector Databases 7

Pinecone
Weaviate
Qdrant
Chroma
pgvector
Milvus
FAISS

MLOps and Infrastructure 11

MLflow
Weights & Biases
DVC
Kubeflow
AWS SageMaker
Azure ML
Google Vertex AI
NVIDIA Triton
Airflow
Ray Serve
vLLM

AI Agent Tools 4

OpenAI Agents SDK
Claude MCP
Semantic Kernel
Haystack

Blockchains

Private and Public Blockchains 33

Ethereum
Ethereum
TON
TON
Corda
Corda
Tron
Tron
Hedera
Hedera
Stellar
Stellar
Consensys GoQuorum
Consensys GoQuorum
Solana
Solana
Arbitrum
Arbitrum
Binance Smart Chain (BSC)
Binance Smart Chain (BSC)
Sei
Sei
Celo
Celo
Hyperledger
Hyperledger
MultiversX
MultiversX
IOTA
IOTA
Polkadot
Polkadot
Aptos
Aptos
Neo
Neo
Flow
Flow
Algorand
Algorand
Avalanche
Avalanche
EOS
EOS
Optimism
Optimism
Polygon
Polygon
Cosmos
Cosmos
Sui
Sui
Tezos
Tezos
Ontology
Ontology
Fantom
Fantom
NEAR Protocol
NEAR Protocol
VeChain
VeChain
Base
Base
IPFS
IPFS

Cloud Blockchain Solutions 4

Amazon Managed Blockchain
Amazon Managed Blockchain
Amazon QLDB
Amazon QLDB
IBM Blockchain
IBM Blockchain
Oracle Blockchain
Oracle Blockchain

DevOps

DevOps Tools 15

Kubernetes
Kubernetes
Terraform
Terraform
Docker
Docker
Istio
Istio
Prometheus
Prometheus
Grafana
Grafana
Jenkins
Jenkins
ArgoCD
ArgoCD
Ansible
Ansible
GitHub Actions
GitLab CI
Pulumi
Datadog
New Relic
Vault

Clouds

Clouds 6

Amazon Web Services
Amazon Web Services
Azure
Azure
Google Cloud
Google Cloud
Cloudflare
Vercel
DigitalOcean

Databases

Databases 15

PostgreSQL
PostgreSQL
MySQL MariaDB
MySQL MariaDB
Redis
Redis
Cassandra
Cassandra
Neo4J
Neo4J
MongoDB
MongoDB
Elasticsearch
Elasticsearch
Solr
Solr
Ignite
Ignite
ClickHouse
TimescaleDB
DynamoDB
Supabase
CockroachDB
ScyllaDB

Brokers

Event and Message Brokers 7

Kafka
Kafka
RabbitMQ
RabbitMQ
Flink
Flink
Apache Pulsar
Amazon SQS
Amazon SNS
NATS

Tests

Test Automation Tools 6

Postman
Postman
Appium
Appium
Cucumber
Cucumber
Selenium
Selenium
JMeter
JMeter
Cypress
Cypress

Programming

UI/UX

UI/UX Design Tools 12

Figma
Figma
Zeplin
Zeplin
InVision
InVision
Sketch
Sketch
Miro
Miro
Marvel
Marvel
Balsamiq
Balsamiq
Photoshop
Photoshop
Illustrator
Illustrator
XD
XD
After Effects
After Effects
Corel Draw
Corel Draw
Trusted & Certified

Partnerships & Awards

Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence

  • Partner1
  • Partner2
  • Partner3
  • Partner4
  • Partner5
13+ industry awards

FAQ

Last updated:

Quick answers to common questions about custom software development, pricing, process and technology.

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production has been in business since 2013, with over 13 years of experience in custom software development. During this time, we have delivered over 70 applications for 200+ clients across 18 industries, including FinTech, healthcare, crypto and e-commerce. We are rated 5/5 on Clutch based on 73 verified reviews (2026).

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production provides six core service categories: Software Development (mobile apps, web platforms, database design, UI/UX), Blockchain Development (smart contracts, DeFi, tokenization on Ethereum, Solana, TON and other chains), Software Security (code audits, penetration testing, smart contract audits), Software Consulting (architecture design, MVP validation, startup consulting) and Software Testing and QA (manual, automation, performance and regression testing).

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production is headquartered in Las Vegas, Nevada, USA (5348 Vegas Dr, Las Vegas, NV 89108), with an engineering office in Kyiv, Ukraine (44-B Eugene Konovalets Str. Suite 201, Kyiv 01133). We work with clients worldwide and provide remote collaboration across all time zones. Visit our contact page for directions and scheduling options.

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production has a team of 90+ engineers, including software developers, blockchain specialists, QA engineers, DevOps experts, UI/UX designers, project managers and solution architects. Our founder, Dr. Dmytro Nasyrov, holds a PhD in Artificial Intelligence and leads the technical direction of all projects.

  • Copy link Copies a direct link to this answer to your clipboard.

    We serve a wide range of clients, from startups and product companies to mid-sized enterprises and large institutions. Our clients include crypto exchanges, FinTech providers (like Pleenk), healthcare organizations, sportsbook operators (like Pro Gambling), e-commerce platforms and SaaS companies. Pharos Production has worked with 200+ clients across 18 industries since 2013, adapting engagement models to match each client’s stage, whether it is MVP validation for a startup or enterprise-scale development for an established business.

  • Copy link Copies a direct link to this answer to your clipboard.

    A custom software development company is a firm that designs, builds and maintains software tailored to a specific business’s needs, as opposed to off-the-shelf products. Custom software addresses unique workflows, integrations and scalability requirements that generic tools cannot. According to Grand View Research (2024), the global custom software development market is valued at over $35 billion and is projected to grow at a 22.3% CAGR through 2030. Pharos Production is a custom software development company founded in 2013, with a team of 90+ engineers delivering solutions across blockchain, FinTech, healthcare and 15 other industries.

  • Copy link Copies a direct link to this answer to your clipboard.

    Custom software development costs vary based on project scope and complexity. At Pharos Production, typical project ranges are: MVP development ($10,000-$25,000), suitable for startups validating a product idea; full-fledged production ($25,000-$50,000), for established businesses scaling a proven concept; and full-cycle development ($50,000-$80,000+), for complex enterprise-grade systems. These ranges include architecture design, development, QA testing and deployment. Final pricing depends on technology stack, number of integrations and engagement model (staff augmentation, dedicated team or project outsourcing).

  • Copy link Copies a direct link to this answer to your clipboard.

    Development timelines depend on scope and complexity. At Pharos Production, a typical MVP takes 2-4 months, a production-ready application takes 4-8 months and a complex enterprise system can take 8-12+ months. We use an agile methodology with 2-week sprints, delivering working increments after each sprint. Every sprint includes a retrospective, progress report and planning session for the next iteration. This approach ensures transparency and allows businesses to launch faster by prioritizing high-impact features first. Get a timeline estimate for your project.

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production serves 18 industries: Crypto, Web3 and Blockchain (Kimlic, GridTradeX, NextCheck), Sports and Sportsbooks, Casino and Gambling (Gambit Stream, Lucky Bets), FinTech, Healthcare, E-Commerce, Insurance, Energy and Utilities, Education, Telecom, Media and Entertainment, Logistics and Transportation (Taxi Aggregator), Marketing, Banking, Construction and Real Estate, Agriculture and Travel. Our deepest expertise is in FinTech, blockchain and healthcare, where we have delivered compliance-ready platforms (HIPAA, PCI DSS, GDPR) and high-load systems handling thousands of concurrent users. For the latest industry insights, read our guides on FinTech trends in 2026 and the Web3 technology stack.

  • Copy link Copies a direct link to this answer to your clipboard.

    Hiring a software development company offers faster time-to-market, lower upfront costs and access to specialized expertise without long-term employment commitments. According to Deloitte’s 2024 Global Outsourcing Survey, 57% of companies outsource software development to access skills they cannot hire internally.

    Factor In-house team Software development company
    Time to assemble 3-6 months (recruiting + onboarding) 1-2 weeks
    Upfront cost High (salaries, benefits, equipment) Lower (project-based pricing)
    Specialized expertise Limited to who you can hire locally Access to 90+ engineers across blockchain, AI, FinTech
    Scalability Slow (each new hire takes months) Fast (scale up or down per sprint)
    Long-term commitment Full-time employment contracts Flexible engagement models
    Risk High if key engineers leave Company ensures continuity and knowledge transfer

    For businesses that need blockchain, AI or high-load architecture expertise, outsourcing to a specialized firm like Pharos Production reduces risk and accelerates delivery.

  • Copy link Copies a direct link to this answer to your clipboard.

    Pharos Production focuses on mid-to-large custom software projects with budgets starting at $10,000. We do not take on template-based websites, WordPress theme customization, or short-term contracts under one month. We also do not provide non-technical staffing (marketing, sales or design-only roles). Our strongest fit is blockchain, FinTech and healthcare projects where security, compliance and high-load architecture are critical. For smaller projects or MVPs under $10,000, we recommend exploring freelance platforms or no-code tools as a more cost-effective starting point.

  • Copy link Copies a direct link to this answer to your clipboard.

    We use agile with 2-week sprints because it reduces the risk of building features that miss the mark. Each sprint ends with a working demo, a retrospective and a plan for the next iteration.

    This means clients see progress every 14 days and can adjust priorities based on real results, not assumptions. According to the Standish Group CHAOS Report (2024), agile projects are 3x more likely to succeed than waterfall projects. We chose this approach after years of experience showing that rigid, fixed-scope contracts lead to scope creep, missed deadlines and products that do not match market needs by launch day.

  • Copy link Copies a direct link to this answer to your clipboard.

    Custom development is not the right choice in every situation. You should not hire a custom software company if: your problem is fully solved by an existing SaaS product (e.g. Shopify for e-commerce, Salesforce for CRM); your budget is under $10,000 and timeline is under 4 weeks; you need a simple landing page or marketing website (WordPress or Webflow is faster and cheaper); or you are still validating the idea and have not spoken to potential users yet.

    In these cases, off-the-shelf tools or no-code platforms offer better ROI. Custom development makes sense when you need unique workflows, regulatory compliance, high-load architecture or competitive differentiation that packaged software cannot provide.

  • Copy link Copies a direct link to this answer to your clipboard.

    Here are three anonymized examples from our recent delivery history:

    FinTech startup - payment platform (MVP)
    Scope: mobile app + backend API with bank-grade encryption. Team: 4 engineers, 1 QA. Timeline: 10 weeks. Budget: $38,000. Result: launched on schedule, processed $2M+ in transactions within the first quarter.

    Healthcare provider - patient portal (Full product)
    Scope: HIPAA-aligned web platform with EHR integration, appointment scheduling and telemedicine. Team: 6 engineers, 1 DevOps, 2 QA. Timeline: 6 months. Budget: $120,000. Result: 15,000+ active patients, zero compliance violations in two annual audits.

    Crypto exchange - trading engine (Complex)
    Scope: high-load matching engine handling 50,000+ orders per second, multi-chain wallet infrastructure on Ethereum and Solana. Team: 8 engineers, 2 QA, 1 security auditor. Timeline: 11 months. Budget: $340,000. Result: 99.97% uptime, passed three independent security audits.

    See more projects: NoMoreBets, Pulse, Sagas, Gambit Stream and Pleenk. For the full portfolio, visit our case studies. Learn more about the technology behind these projects in our guide to stablecoins and crypto infrastructure.

Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let’s work together!

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Our offices

Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.

Las Vegas, United States

Headquarters PST (UTC-8)
5348 Vegas Dr, Las Vegas, Nevada 89108, United States

Kyiv, Ukraine

Engineering office EET (UTC+2)
44-B Eugene Konovalets Str. Suite 201, Kyiv 01133, Ukraine