Insurance software development companies in 2026 (vetted shortlist)

Insurance software development companies do different jobs under the same label. One implements or modernizes a core platform. Another builds a policyholder portal or underwriting workbench around that core. A third handles data, document, or AI work inside a narrow operational process. A useful shortlist begins by separating those jobs.

The six companies in this shortlist are Decerto, Digisoft Solution, GFT Technologies, Intelliarts, RaftLabs, and SPR. The order is alphabetical and does not imply a score. RaftLabs publishes this article and appears in it. We wrote our own entry with the same directness we applied to everyone else.

Quick shortlist by insurance project

This is a list of service companies. Guidewire, Duck Creek, Majesco, and Sapiens were removed from the prior version because they are software-platform vendors, not directly comparable development companies. They may still be central to the architecture and may require a qualified implementation partner.

How we evaluated this list

Companies are listed alphabetically, not ranked by quality. We checked first-party company pages and retained claims only when the source described the service or case. Directory data is treated as a lead to verify during procurement, not evidence. No company paid for placement on this list.

The security test is also concrete. The NAIC's 2025 legislative brief on the Insurance Data Security Model Law says the model requires covered licensees to maintain an information-security program, investigate cybersecurity events, and notify the commissioner. It also addresses oversight of third-party service providers. A vendor's process must produce evidence the insurer can use inside that obligation.

1. Decerto

Decerto is an insurance-focused software company founded in 2006. Its public portfolio covers policy, rating, distribution, agent tools, claims, data migration, and a business-rules product called Higson. Unlike a general development shop with an insurance landing page, Decerto publishes insurance workflow detail and named carrier case studies.

That makes Decerto a strong candidate when the project sits close to insurance operations. The company offers custom systems and configurable products, so buyers should identify which parts of a proposal are bespoke code, which rely on Decerto intellectual property, and what portability looks like if the relationship ends.

Notable work - Decerto's insurance case library names work with InterRisk, BNP Paribas Cardif, Allianz Poland, Warta, and Generali Group Poland. Its Generali case describes a data migration after an acquisition, including validation, a planned cutover window, and preservation of financial balances. These are vendor-published accounts, so request a client reference and the detailed acceptance evidence.

Pricing signal - Decerto does not publish a standard services rate. Its site invites a scoped conversation and describes both dedicated systems and configurable products. Ask the proposal to separate implementation services, product licensing, customization, integrations, migration, and support.

What to watch - A proprietary rules engine or portal can accelerate delivery, but it changes the ownership and exit questions. Inspect licensing, data export, source-code access, hosting, upgrade policy, and what happens to custom extensions if you change vendors.

• Best for: Carriers and MGAs needing insurance-specific policy, distribution, rules, migration, or claims work

• Specialization: Agent portals, business rules, policy systems, claims, insurance data migration

• Pricing: Custom quote; separate product licenses from services

• Clutch: Profile listed; current rating should be checked directly

2. Digisoft Solution

Digisoft Solution's insurance practice is built around policy administration, claims, underwriting and rating, billing, agent and customer portals, embedded insurance, analytics, integration, and modernization. Its service page also names carriers, MGAs, TPAs, brokers, agencies, reinsurers, and insurtechs as target clients.

The breadth makes it relevant to a buyer who wants one provider across application development and insurance workflows. Much of the evidence on the reviewed page is company-authored and several case clients are anonymous. Treat the service detail as a strong question bank, then verify delivery with a reference in the same line of business.

Notable work - Digisoft publishes an anonymous policy-administration and claims-automation case with reported improvements in issuance time, manual effort, FNOL speed, and availability. Because the client is unnamed, do not treat the outcome percentages as independently verified. Ask for the measurement baseline and a reference call under NDA.

Pricing signal - The company offers fixed-cost, dedicated-team, time-and-materials, and team-extension models, but no standard public rate was verified. Ask Digisoft to recommend one model for the exact boundary and explain why.

What to watch - A broad catalog can conceal uneven depth. Choose one difficult workflow from your brief, such as midterm endorsements or reserve changes, and ask the proposed architect to model the states, permissions, integrations, and audit history live.

• Best for: Insurers and MGAs comparing several engagement models for a custom insurance system

• Specialization: PAS, claims, underwriting, billing, portals, embedded insurance

• Pricing: Custom quote across fixed-cost, team, and time-and-materials options

• Clutch: Profile listed; current rating not verified for this review

3. GFT Technologies

GFT's insurance practice covers core modernization, cloud, digital channels, AI, and Guidewire implementation. It is an enterprise transformation provider with the scale to carry several workstreams across architecture, platform, data, and delivery.

GFT is a logical candidate for a carrier changing a core platform or coordinating a broad modernization. Its public page says it has been a Guidewire partner since 2011 and describes implementations, upgrades, and cloud migrations. Buyers should confirm the proposed team's current certifications and experience with the exact Guidewire product and release.

Notable work - GFT publishes a MAPFRE case in which it built a generative-AI assistant for around 2,000 technologists across 25 countries to search more than 60,000 APIs and documents. It also reports core and claims work on the insurance practice page. Use the relevant case only after confirming that its technical boundary matches your program.

Pricing signal - No standard insurance rate card was verified. Expect a custom enterprise proposal that separates advisory, platform implementation, migration, integration, testing, rollout, and managed support.

What to watch - GFT's scale is useful for a core program and excessive for a narrow workflow. Confirm the minimum viable team, delivery locations, platform-partner fees, and which named specialists remain through implementation rather than appearing only during sales.

• Best for: Mid-size and large carriers running Guidewire, core, cloud, or multi-system modernization

• Specialization: Guidewire, core insurance, cloud, AI, digital channels

• Pricing: Custom enterprise quote; no public insurance rate card verified

• Clutch: Profile listed; current rating not verified for this review

4. Intelliarts

Intelliarts' insurance software practice emphasizes data engineering, analytics, machine learning, custom applications, architecture, and post-production support. It presents insurance as a dedicated industry practice, with use cases in lead management, pricing, churn, underwriting, claims, and fraud.

The company is most interesting where the main uncertainty sits in data and modeling rather than a full policy-administration replacement. Buyers should separate published capability claims from delivered insurance references and ask what models reached production, how performance was monitored, and who owned the final decision.

Notable work - Intelliarts publishes insurance service detail but limited named client evidence on the reviewed page. Request a technical case showing the data source, target variable, evaluation method, production monitoring, and human review.

Pricing signal - No current first-party price was verified. Ask for a paid data-discovery phase before accepting a delivery estimate for ML work, because data access and label quality often decide feasibility.

What to watch - AI use-case lists are easy to publish and harder to operate. Require evidence for drift monitoring, explainability, bias review, override, retraining, and audit logs. If the need is a standard policy or claims platform, a core specialist may be a better fit.

• Best for: Insurance teams whose project centers on data, analytics, or ML inside a defined workflow

• Specialization: Data engineering, analytics, machine learning, custom insurance applications

• Pricing: Custom quote; no public rate verified

• Clutch: Profile listed; rating was not verified for this review

5. RaftLabs

RaftLabs provides insurance software development for bounded products and workflows that need product discovery, UX, engineering, integration, and launch in one team. Suitable scopes include intake, portals, document flows, operational dashboards, and automation around an existing system of record.

The important disclosure is the evidence boundary: RaftLabs does not publish a named insurance case study today. Do not treat adjacent industry work as a substitute for a policy or claims reference. Ask RaftLabs for a comparable private reference and make the team demonstrate your workflow before procurement.

Notable work - No named public insurance case study was available for this review. That absence is material evidence, not a line to hide. Request a private insurance reference under NDA and ask the proposed team to trace a representative policy or claim through states, permissions, integrations, audit events, and reconciliation.

Pricing signal - RaftLabs' public pricing starts at $10,000-$20,000 for a basic MVP and $20,000-$40,000 for a full-featured product. Advanced technology is custom-priced. Insurance integrations, migration, and control evidence require a scoped quote, and a core replacement is outside these product tiers.

What to watch - RaftLabs is not a Guidewire-scale systems integrator and should not be shortlisted for a carrier-wide core replacement. It fits when the buyer has insurance ownership internally and can define a bounded product with clear interfaces and acceptance criteria.

From the field: Regulated product work improves when the control owner joins discovery. If access rules, audit events, retention, and exception handling wait until QA, the team has already made architecture decisions that are expensive to unwind.

• Best for: A bounded insurance portal, workflow, document process, or data product

• Specialization: Product discovery, UX, web and mobile engineering, automation, integrations

• Pricing: $10K-$20K basic MVP; $20K-$40K full-featured product; advanced work custom-priced

• Clutch: 4.9/5 on RaftLabs' awards page; verify the live profile during procurement

6. SPR

SPR's insurance practice combines custom software, mobile, AI, data, cloud, and core-platform modernization. The company explicitly names policyholder portals, agent and broker platforms, claims workflows, underwriting applications, API integrations, actuarial data, regulatory reporting, and model governance.

SPR fits insurers that want a US consulting and engineering team to work beside internal product, operations, data, and technology owners. Its public model emphasizes embedded collaboration and knowledge transfer rather than a packaged platform.

Notable work - SPR publishes insurance work on predictive claims-risk models, data platforms, and custom applications. One case describes improving a predictive analytics model for VGM Insurance. The source is vendor-published, but it includes a named client representative and enough technical context to support a focused reference request.

Pricing signal - No current first-party rate card was verified. Ask for a role-level estimate and make sure discovery, data preparation, compliance evidence, and support are visible.

What to watch - The collaborative model assumes the insurer can supply decisions and domain owners. If the client expects the vendor to own product strategy, insurance rules, and delivery with little internal participation, clarify that responsibility before signing.

• Best for: US insurance organizations adding software, data, cloud, or AI delivery to an internal team

• Specialization: Custom insurance applications, data, AI, cloud, modernization

• Pricing: Custom quote; no current first-party rate card verified

• Clutch: Public profile available; verify its current rating and comparable references directly

Side-by-side comparison

How to choose an insurance software company

1. Decide whether you are buying a platform, an implementation, or a custom product

A core insurance platform provides a broad operating model across policy, billing, and claims. An implementation partner configures, integrates, migrates, and supports that platform. A custom development company creates software where the insurer needs its own workflow or interface. Treating these as one category produces poor comparisons.

Write one sentence that names the purchase:

• "We are replacing the P&C policy administration core for three states and migrating ten years of policy data."

• "We are adding a broker portal around the existing core without moving rating ownership."

• "We are automating first notice of loss and document intake, while adjusters keep final authority."

Each sentence leads to a different shortlist, team, budget, and risk plan.

2. Trace one real workflow before reviewing a proposal

Choose a difficult example from the line of business. For a policy, include quote, bind, endorsement, renewal, cancellation, reinstatement, document generation, billing, commission, and reporting. For a claim, include intake, coverage verification, reserve changes, assignment, documents, fraud review, payment, recovery, reopening, and closure.

Ask the proposed vendor team to draw:

• the state changes and systems of record;

• the source of product and rating rules;

• roles, permissions, and approval thresholds;

• every external data or payment dependency;

• audit events, reconciliation, and manual exception handling;

• failure, retry, rollback, and support paths.

This exercise reveals domain depth faster than a capabilities deck. It also gives buyers a comparable artifact across finalists.

3. Make security and privacy observable

The NAIC Insurance Data Security Model Law establishes a risk-based information-security program and cybersecurity-event duties for covered licensees in adopting jurisdictions. The FTC Safeguards Rule guide also tells covered financial institutions to select capable service providers, put safeguards into contracts, and monitor them.

Translate that obligation into delivery evidence. Ask which party owns the data inventory, risk assessment, access reviews, encryption keys, environment controls, logging, test evidence, breach support, subcontractor oversight, and deletion. Regulations vary by entity and jurisdiction, so the insurer's counsel and compliance team must confirm the exact requirements. The development company should be able to implement and document the controls that follow.

Use NIST SP 800-218 as a common vocabulary for secure software development. A good vendor can map its process to concrete artifacts. A weak one offers a policy PDF that the proposed delivery team has never used.

4. Treat data migration as a product with acceptance tests

Migration is not a file transfer. Policy, claims, billing, documents, parties, producers, commissions, and financial balances have dependencies that must remain coherent. Legacy data may be incomplete, duplicated, or encoded through years of operational workarounds.

Require:

1. source profiling and explicit data-quality rules;
2. field and state mapping signed off by business owners;
3. repeatable migration runs in controlled environments;
4. reconciliation totals for records and financial values;
5. dress rehearsals using production-like volume;
6. a cutover, rollback, and parallel-run decision;
7. evidence retention for audit and post-launch investigation.

Decerto's public Generali case is useful because it discusses validation and a planned migration window. Use it as a prompt for diligence, not as proof that every future migration will have the same outcome.

5. Compare ownership and operating fit

Ask who owns product decisions, insurance rules, architecture, cloud, source code, configuration, support, and vendor coordination. A specialist product vendor may accelerate configuration but retain important intellectual property. A custom builder may give the client more ownership but require stronger internal domain leadership. A global integrator may coordinate more workstreams but add governance and handoffs.

The proposal should state the operating model after launch:

• who handles incidents and by when;

• who deploys regulatory and product-rule changes;

• how the insurer observes system health;

• what documentation and training are included;

• how a new team can take over;

• how data and credentials are returned or deleted.

The best technical design can still fail procurement if the ownership model does not fit how the insurer operates.

The question that separates a core specialist from a product team

The most common mismatch is asking one vendor shape to do another vendor's job. A core-platform program needs domain configuration, migration, partner coordination, environment management, and a careful rollout across products and jurisdictions. A bounded portal or workflow needs a compact team, close user access, fast decisions, and control over a smaller surface.

Core and insurance specialists such as Decerto, Digisoft Solution, and GFT belong first in a carrier-wide policy, claims, rating, or migration discussion. Their public material shows direct insurance workflow or platform depth.

Product, data, and embedded delivery teams such as Intelliarts, RaftLabs, and SPR fit a narrower product, data, AI, or modernization boundary. They still need insurance ownership and compliance input, but the engagement can move with fewer layers.

Getting the model wrong is more expensive than getting the vendor wrong.

"If your company brings in a service provider, the buck still stops with you." - US Federal Trade Commission, Safeguards Rule guidance

That sentence is a useful procurement test. A vendor can supply software, people, and evidence. The insurer still owns the risk decision. Contracts, monitoring, acceptance tests, and an exit plan are therefore part of product quality, not paperwork after the build.

The verdict

Decerto for an insurer that wants deep policy, rules, agent, claims, or migration experience from an insurance-focused company.

Digisoft Solution for a carrier, MGA, or insurtech comparing custom insurance applications across several engagement models.

GFT Technologies for Guidewire, core, cloud, and enterprise modernization spanning several workstreams.

Intelliarts for a defined insurance data or machine-learning product where model operation matters more than core-platform implementation.

RaftLabs for a bounded portal, intake, document, dashboard, or automation product with honest reliance on adjacent regulated-delivery evidence.

SPR for a US insurer that wants software, data, AI, or cloud delivery embedded with internal stakeholders.

Choose the operating model first. Then verify the named people, the closest reference, the data and integration plan, and the contract terms against the same scenario.

RaftLabs scopes and builds bounded insurance products with design and engineering in one team, and states the limits of its public insurance proof plainly. 4.9/5 on Clutch. Talk to a founder about your insurance software project.