We Build to Your Workflow, Not a Template
We don't retrofit generic software into insurance processes. We map your adjudication logic, your product rules, your compliance requirements — then engineer around them.
What We Offer
End-to-end IT consulting and managed services tailored for insurers — from legacy modernization to cloud infrastructure.
Custom web and mobile applications for policy management, agent portals, and policyholder self-service.
Automate risk assessment and pricing decisions with machine learning models trained on your historical data.
Reduce claims cycle time with intelligent document extraction, fraud detection, and automated adjudication.
Real-time anomaly detection and pattern recognition to identify fraudulent claims before they are paid out.
Leverage data science to forecast loss ratios, customer churn, and emerging risk trends across your portfolio.
Migrate core insurance systems to Google Cloud or AWS with zero downtime and full regulatory compliance.
Build systems that meet HIPAA, SOC 2, and state insurance regulations with built-in audit trails and encryption.
Why SolveJet
Insurance software fails at the edges — regulatory edge cases, high-volume claims spikes, fraud patterns that weren't in the training data. We build for those edges first.
We don't retrofit generic software into insurance processes. We map your adjudication logic, your product rules, your compliance requirements — then engineer around them.
As a Google Cloud Partner, we architect data pipelines, ML inference, and policy systems on GCP — giving you production-grade scalability without the infrastructure overhead.
HIPAA, NAIC model laws, state filing requirements — these are built into the data model and access control layer from the first sprint, not bolted on before go-live.
You work with the people who write the code — not account managers. Our clients on Clutch consistently cite responsiveness and honest technical conversations as the differentiator.
What Modern Insurance Technology Delivers
These are the benchmarks well-automated insurance platforms consistently move — and what we design toward on every engagement.
What We Build
These illustrate the systems we design and build — the technical approaches, the components, and the operational outcomes they're engineered to deliver.

A GCP-based claims system with intelligent document extraction, automated FNOL intake, and straight-through processing for low-complexity claims.

An ML pipeline on Vertex AI that scores every claim submission in under 200ms using anomaly detection, network graph analysis, and ISO ClaimSearch integration.

A mobile-first portal built on Next.js and a modern API layer — policy management, claims filing, document uploads, and EOB access in one authenticated experience.

Replaces rules-based underwriting engines with Vertex AI models — real-time third-party data enrichment, explainable outputs, and configurable appetite checks.
Our Process
We map your existing systems, business rules, and compliance requirements. We involve your product, operations, and compliance teams — not just IT — so nothing gets missed before architecture starts.
Solution blueprint covering data models, integration points, HIPAA/NAIC controls, and audit trail design. Security and compliance architecture is defined before a line of code is written.
Two-week sprints. Working software each cycle. Business rules and edge cases are tested against real insurance scenarios — not generic QA checklists. Your team reviews every sprint.
We support your UAT cycle with documentation, test scripts, and fixes. Compliance and security review happens before any production deployment, with full audit trail evidence packaged.
Zero-downtime deployment with parallel operation of old and new systems where required. Runbooks, training, and escalation paths documented. We stay engaged through the first production cycle.
Use Cases
From claims automation to fraud prevention, see the specific problems we solve for insurance businesses.
Claims Automation
Replace manual claims workflows with intelligent automation that extracts data, validates coverage, detects fraud, and routes decisions — all without human intervention for straight-through claims.
Technology Stack
We build on proven, enterprise-grade technology — and integrate with the systems you already run.
FAQ
Everything you need to know about modernizing your insurance operations with SolveJet.
We modernize core insurance platforms including policy administration systems (PAS), claims management systems, billing engines, and agent portals. We work with legacy systems built on mainframes, older Java stacks, or monolithic architectures and migrate them to modern cloud-native solutions.
AI accelerates claims by automating document extraction (FNOL forms, medical records, repair estimates), detecting fraud patterns in real time, and routing straightforward claims for straight-through processing. This reduces average claims cycle time by 40–60% and lowers manual adjudication costs.
Yes. We build with HIPAA, SOC 2 Type II, NAIC model laws, and state-specific insurance regulations in mind. Every system includes audit trails, role-based access controls, data encryption at rest and in transit, and configurable compliance reporting.
Scope varies by system complexity. A focused module migration (e.g., billing or agent portal) typically takes 3–6 months. Full core system replacements range from 9–18 months. We use phased rollouts with parallel running to ensure zero downtime during transition.
Yes. We have experience integrating with ISO/Verisk, LexisNexis, Dun & Bradstreet, weather data APIs, telematics providers, and reinsurance platforms. We build standardized API layers so new data sources can be added without rearchitecting core systems.
"They don't force us to go their way; instead, they follow our way of thinking."
★★★★★Marek StrzelczykHead of New Products & IT, GS1 Polska
What happens next