01
Data & statistics
Databases, spreadsheets and carrier APIs in one place. Premiums, loss ratios, claim frequency and severity, profitability by segment — measured the same way every time.
InsuranceOS
Insurance software built around your data
You are reading insurance statistics we generated ourselves, from public regulatory data, on our own infrastructure. We can build the same kind of system for your company — your data, your workflows, your servers.
Tell us what you needDescribe the problem. You will get a straight answer, not a sales call.
5,819insurance companies tracked
621,919carrier appointments mapped
1,700+data pages generated
2 secfull site rebuild
Built by us, on this site, from public regulatory data. The same pipeline can run on yours.
Start with one problem, not a whole system
Most insurance software asks you to replace everything at once. That is expensive, slow and risky.
Pick the thing costing you time right now — a report that takes three days to assemble, claims data nobody can see across, commissions tracked in a spreadsheet. We build that one piece properly and connect it to what you already have. If it works, we add the next.
What we build
02
Dashboards & reporting
KPI views your team actually opens. Scheduled reports that arrive without anyone building them. PDF and Excel export, or embedded in what you already use.
03
Customer & agency management
Customer records, renewals, producer licences and appointments, commission tracking, broker portals. The administrative work that eats weeks every year.
04
Policy & underwriting
Submissions, quotes, policy records, underwriting rules, rating tables, underwriter workbench. As a system of record, or as a layer over your existing core.
05
Claims
FNOL, assignment, reserves, documents, payments and settlement tracking — plus the analytics showing where claims cost and time actually go.
06
Actuarial & risk modelling
Frequency and severity models, reserving, IBNR, development triangles, pricing adequacy, catastrophe scenarios, stress testing. Documented so you can defend the method.
07
Document AI
Structured data pulled from policies, claims files and submissions. Long case histories summarised. Email routed. Every output reviewable before it matters.
08
Fraud signals
Duplicate detection, entity resolution across addresses and providers, network analysis, prioritised queues. Signals for investigators — never automatic conclusions.
09
Integrations
Carrier APIs, ACORD exchange, Guidewire and Duck Creek, Salesforce, accounting, payments, weather and geospatial feeds, telematics.
Who we build for
Carriers & mutuals
Portfolio visibility, underwriting performance, reserving
Agencies & brokers
Customer records, renewals, commissions, carrier data
MGAs & MGUs
Submission flow, binding authority, programme analytics
Third-party administrators
Claims operations and reporting at volume
Actuarial & consulting
Modelling tools and client reporting
Self-insured companies
Claims tracking and risk analysis without a carrier
Insurtech startups
The data layer, so you can build the product
It runs where you want it
Linux, PostgreSQL, browser-based. Your own servers, a private cloud, or infrastructure we manage. Role-based access, audit trails, encrypted backups, your own branding.
Your data stays where you decide it stays. Security, privacy and regulatory requirements get assessed properly for each project rather than assumed.
- Linux deployment
- PostgreSQL + API architecture
- Role-based access control
- Auditable activity logs
- Encrypted backups
- White-label branding
- Optional ML & statistical modelling
Why us
This website is the demonstration. Every carrier record, complaint ranking, state requirement and agency listing was built the way we are describing: public data collected automatically, matched across sources, checked, published as thousands of fast pages.
Behind it sits a PhD in machine learning, seventeen years of quantitative work, and the Linux and database engineering to keep a system running after launch. Not a template. Not a reseller.
See the company records,the complaint rankings orthe agency directory — then picture the same machinery pointed at your own data.
How a project starts
You describe the problem
A few sentences is enough to begin.
We tell you what is realistic
What public data can do, what needs paid sources, what is not achievable at all.
You get a scope and an estimate
Written down, before any commitment.
We build the first piece
Something working and useful, not a six-month wait.
You decide whether to continue
Each module stands on its own.
Tell us what you are trying to fix
One paragraph about the process costing you time, or the data you cannot see clearly. We will tell you straight whether we can help and what it involves — and if there is a simpler way, we will say that instead.
Start the conversation