We are actuarial scientists and software engineers. We build GRID, our reserving product line, and design custom systems for insurance and financial businesses that need more than off-the-shelf software.
Everything we build starts from research. Our team works across data analytics, machine learning, econometrics, finance and actuarial science, developing reserving methods in partnership with academic researchers — then engineering them into software people actually use.
A multidisciplinary team with a foundation in academic research, not just software delivery — our methods are developed and continuously evolved with university partners.
Cutting-edge engineering to match: custom web and desktop development, data processing, security and visualization, built on modern, modular architecture.
Advanced, research-grade reserving methodology — beyond standard chain-ladder approaches — validated against dozens of alternative models.
Systems that track the full lifecycle of a claim survey for B2B insurance surveyors, from assignment to resolution.
Machine learning models applied to telematics data for driver risk scoring and pricing support.
Online financial advice platforms and smart digital communication for long-term savings products.
Online, web-based reserving software built specifically for non-life insurance, developed by actuarial researchers and engineered for production use.
GRID DCL is built on the Double Chain Ladder method, giving full tail estimates and splitting the reserve into IBNR and RBNS cashflows. It also draws on the latest available RBNS data as prior knowledge, sharpening the estimate as new information comes in.
GRID One Triangle stays close to the classic chain ladder method, while adding a set of practical extensions on top: calendar-effect detection, validation against alternative methods, handling for sparse data, and smoothing.
A running view into GRID's development — what's active right now, what just shipped, and what's coming next.
Operational time — a shift in a portfolio's reporting or settlement speed over time — can distort development patterns if left untreated. We're developing an algorithm to detect whether a dataset exhibits operational time and quantify its magnitude, so it can be corrected for when the effect is significant. Expected November 2026.
Our original method produces a constant, taken as the average of the most recent selected number of mean cost per claim or payment values. Our new method instead fits a linear regression across those same recent values, producing a trend line rather than a flat constant. The two methods are closely related to local constant and local linear smoothing, respectively, but are formulated in a more intuitive way. Optimal smoothing method is picked via validation.
A top-down approach to reserving across multiple business lines: first aggregate several triangles, calculate the reserve for the combined dataset, then allocate that reserve back to each individual business line. Among other benefits, this can reduce the impact of extreme values, provide a clearer understanding of uncertainty, and improve operational efficiency through a coherent portfolio-level analysis. Expected summer 2027.
Beyond GRID, we design and maintain custom software for clients whose problems don't fit an off-the-shelf product — from first specification through years of ongoing support. Across our development process, we also use AI-assisted tools to accelerate delivery and help validate code quality, while keeping engineering judgment and final review with our team.
We take the time to understand your existing setup and workflows, then consult on integrating it with our systems and methodology.
A thorough specification process, with you closely involved throughout, so what we build matches your exact requirements and end users.
Extensive maintenance and support on everything we build, on an annual or on-demand basis — these are ongoing relationships, not one-off projects.
We have a strong background both as academic researchers and as technology providers — few teams sit in both worlds. That combination is why our methods hold up to scrutiny and our software holds up in production.
Clients of Emergent Systems include national companies in Cyprus and international companies across the UK, Denmark and Greece — spanning both our GRID product line and custom-built systems.
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DLWhether it's about GRID, a custom engagement, or just a question about our methodology — we'd like to hear from you.