Apptechies
An insurance policyholder submitting a photo of a vehicle damage claim using a mobile smartphone app
InsurTech & Policy Administration Engineering

Insurance Software
Development Company

We build claims adjudication engines, policyholder self-service portals, broker management systems, and automated underwriting pipelines engineered for complex rating tables and regulatory compliance.

View Our Work
8+
Years Building Software
600+
Solutions Delivered
99%
Client Satisfaction

Automated Claims Processing

AI damage estimation and straight-through claims adjudication.

Policyholder Digital Portal

Self-service FNOL, endorsement changes, and billing integration.

Actuarial & Underwriting APIs

Sub-second risk scoring pipelines connected to core PAS systems.

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Years of Excellence
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Solutions Delivered
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Industries Served
0%
Client Satisfaction
What We Build

Insurance Software Development Services

From a focused broker portal to a full policy administration platform, we scope and build the specific insurance software your business needs, connected to the systems you already run.

Policy Administration

The system of record for a policy through its whole lifecycle, from quote to renewal or cancellation.

Policy issuance, endorsements, and renewals
Configurable rating and product rules
Multi-line support (auto, property, life, commercial)
A policyholder photographing minor vehicle damage on a smartphone to submit a first notice of loss claim
Claims Workflow

From First Notice of Loss to Resolution, With a Human Still Deciding

Software can make a claim faster to file and easier to review. It should not be the thing that approves the payout. This is how we split that work.

Structured FNOL Intake

Photos, policy lookup, and incident details captured in a structured form the adjuster receives complete, not a phone note transcribed later.

AI-Assisted Triage, Not Auto-Approval

Computer vision can flag likely severity and route a claim to the right queue faster. The adjuster still reviews the claim and makes the decision.

Adjuster Review Queue & Audit Trail

Every claim keeps a timestamped record of who reviewed it, what changed, and why, so the file holds up under audit.

Handoff to Your Payment Systems

Once a claim is approved, we integrate the handoff to your existing payment or core system. We do not build a parallel disbursement rail that bypasses your controls.

Underwriting & Policy Data

Data an Underwriter Can Actually Use

A submission is only as fast to review as the data behind it is organized. This is the data layer we build underneath your underwriting workflow.

If you are not yet sure whether a rules-based or model-assisted approach fits your risk data, start with AI consulting services to evaluate the data and the evaluation plan before committing engineering time.

One Policy Data Model

Policy, coverage, and endorsement data structured consistently across products, so a renewal or an audit does not require reconciling three different formats.

Underwriting Rules Engine Support

Configurable rules and risk scoring that speed up an underwriter’s review. The actuarial sign-off and pricing decision stay with your underwriting team.

Third-Party Data Integration

Credit, driving record, and property data pulled in from the providers you already use, mapped into one submission view.

OCR-Assisted Document Intake

Scanned applications and supporting documents are classified and key fields extracted automatically, with a human reviewing anything the model flags as uncertain.

An insurance underwriter reviewing policy documents alongside risk data charts on a computer screen
Featured Work

Real Engineering Work, Not an Insurance Case Study Yet

We have not shipped a named insurance platform yet. These are real, featured Apptechies projects instead, chosen because they involve the same kind of work an insurance platform needs: real-time operational data, security-sensitive case management, and complex third-party integrations.

B
Bitly
Technology & SaaS

Engineering support for the widely used link-management platform — branded short links, QR code generation, and click analytics used by marketers and enterprises worldwide.

Web · iOS · Android
Platforms
Link Analytics
Core Feature
Bitly — Short URLs, QR Codes & Link Analytics
D
Decept10
Technology & SaaS

A SOC analyst dashboard for cyber security protection through deception — real-time alert triage, customer and analyst management, and role-based incident workflows.

iOS · Web
Platforms
SOC Dashboard
Core Feature
Decept10 — Deception-Based Cyber Defense Dashboard
C
CargoPas
Logistics

A logistics marketplace connecting shippers and businesses with reliable, secure cargo carriers — real-time booking, tracking, and carrier discovery.

iOS · Android · Web
Platforms
Carrier Marketplace
Core Feature
CargoPas — Real-Time Cargo Booking Marketplace
Client Stories

Real Feedback From Real Clients

Not insurance clients specifically — we're showing real feedback about how we build software, not a claim of insurance-sector history we don't have yet.

FreshHook wouldn’t exist without Apptechies’s innovative approach to perishable goods delivery. They built a platform that handles our delivery promise with real-time GPS tracking and smart inventory management.

S
Sandeep Kumar
Operations Director, FreshHook
AI-Assisted Review

AI That Assists a Reviewer, Not One That Replaces Them

An automated model can speed up the parts of claims and underwriting review that are genuinely repetitive. It should never be the system of record for a decision that carries legal or financial consequence.

Damage Triage, Not Damage Approval

Computer vision on submitted photos flags likely severity and probable affected parts to help an adjuster prioritize their queue. Learn more

Document Classification & Extraction

Incoming forms and correspondence are classified and key fields extracted automatically, routed to the right queue for review.

Fraud Signal Flagging

Pattern-based anomaly detection flags claims for an investigator to look at closer. It does not deny a claim on its own. Learn more

Known Limitations, Stated Plainly

Every model has a false-positive and false-negative rate. We build a review step and an escalation path for both, not just the happy path.

A photo of vehicle damage with a subtle abstract overlay suggesting automated visual analysis assisting an adjuster
Our Process

A Realistic Development Timeline

We run every insurance build through the same structured process as the rest of our work — described in full on our How We Work page.

Step 01 of 07

Discovery & Strategy

Mapping your product lines, existing systems, and regulatory footprint before scoping a single feature.

Technology Stack

Proven, Production-Grade Technology

React
Next.js
React Native
Flutter
Tailwind CSS
A person comparing insurance quote options on a smartphone at home

Building a Quoting App or Broker Portal? We Can Scope It With You.

Instant quoting, policy issuance, and broker commission tracking, connected to the core system you already run, not a standalone tool that creates a second source of truth.

Insights

Latest From Our Blog

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Prince Rathore8 min read
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FAQs & Contact

Questions About Insurance Software Development

Answers to the questions carriers, MGAs, and InsurTech founders ask us most, and a direct line to our team if you don't see yours.

Policy administration systems, claims workflow platforms, underwriting support tools, broker and agent portals, and policyholder-facing apps. Most engagements are one or two of these connected to a system you already run, not a full core replacement.

Yes. We build API layers and event-driven connectors that extend systems like Guidewire and Duck Creek rather than replace them. See software integration services for how we scope that work.

Computer vision and document-classification models can flag likely severity and route a claim to the right reviewer faster. They do not approve, deny, or settle a claim. That decision, and the payment itself, stays with your adjusters and your existing payment or core system.

A focused broker portal or policyholder MVP typically runs in the low tens of thousands to around $100,000, while a full policy administration or claims platform with core-system integration usually runs from $150,000 into the high six figures, depending on integration and compliance scope. We can give you a scoped estimate after a discovery call, not a generic range.

A focused MVP, such as a quoting app or a broker portal, typically takes 12 to 18 weeks. A full policy administration or claims platform with multiple integrations usually runs 6 to 10 months.

Yes. Most engagements start by building an API layer around an existing core system so new features can ship without a risky full-system cutover. See custom software development services for how we scope a modernization versus a full replacement.

Encryption at rest and in transit, role-based access control, and audit logging on every claim and policy change are standard. Apptechies holds ISO 27001 certification for information security management; regulatory approval for your specific product and state still depends on your own compliance program, which we support with documentation, not a certification we issue on your behalf.

Yes. Full IP assignment is standard on every engagement. You own the code, data, and infrastructure outright, with a defined offboarding process if you ever move to a different team.

Yes. We offer ongoing maintenance, monitoring, and iteration after launch, scoped separately from the build itself so you know what continued support actually costs.

Which policy lines and states or countries you operate in, what your current policy/claims core is, roughly how many policies or claims you process, and who the primary users are (policyholders, brokers, adjusters, underwriters). We turn that into a scoped estimate on a discovery call.

Yes. Broker and agent portals are one of our six core service areas above, covering instant quoting, commission tracking, and client document sharing.

Yes. We build quote-and-bind APIs that let a partner platform (a travel site, a car marketplace, a fintech app) offer insurance inside their own product rather than sending the customer elsewhere.

For most first insurance builds, we recommend a focused MVP that proves the core workflow, such as claims intake or broker quoting, with real users before expanding into the full platform. If you already manage delivery internally, you can also hire software developers to add capacity to that MVP phase specifically.

Yes. We build data pipelines that ingest driving-behavior or connected-device data at the volume your product actually generates, feeding it into the pricing model your actuarial team defines.

Start Your Insurance Software Project

Tell us about your policy, claims, or broker platform idea. We'll respond within 24 hours with real next steps, not a sales script.

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