Your actuaries already know.
Your platform isn't telling the underwriter.
Underwriting expertise is not the problem. Reaching the decision in time is. We help insurers translate actuarial knowledge into models that sit inside the underwriting workflow — explainable, governed, and trusted by the regulator.
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The actuarial signal exists. The decision rarely catches up to it.
Loss ratios drift in the wrong direction before anyone sees the pattern. Pricing recommendations land as friction rather than guidance. Claims handlers spend their day on document handling, not on the cases that need their judgement. The capability isn't missing — the platform layer that gets it to the decision in time is.
Four symptoms of an insurer with the right people and the wrong layer.
These are the patterns we see across general, specialty, and life insurers — from underwriting through claims to portfolio governance.
- 01
Loss ratios drift before anyone sees the pattern.
The signals exist in the policy and claims data. Without a layer that surfaces them in time, the portfolio absorbs the cost before the actuarial team can act.
- 02
Pricing actions stop at the model boundary.
Models recommend, but the underwriter never sees the rationale. Without explainability inside the workflow, the recommendation lands as friction, not as guidance.
- 03
Claims handling absorbs the team.
Document intake, correspondence triage, and routine adjudication consume time the team should be spending on disputed and complex claims.
- 04
Model risk lives in spreadsheets.
Versioning, drift monitoring, and regulator-grade documentation are reconstructed before each review — not produced continuously by the platform itself.
Four ways we work with insurers.
Each service is commissioned standalone or as part of a wider programme. Most insurance clients start with predictive underwriting or claims automation and expand as the model-risk platform matures.
Actuarial expertise, embedded inside the underwriting workflow.
Risk models built with your actuarial team, not for them. Calibrated against held-out cohorts, stress-tested across line-of-business segments, and surfaced inside the existing underwriting platform with an explicit rationale on every decision.
Underwriter first. Model second. Regulator by design.
Underwriter and actuary first. Model second.
We start with the underwriting hypothesis and the actuarial signal — not the technique. The model exists to make better decisions, and the underwriter has to trust it before the platform can scale.
Consultancy and engineering in one team.
Strategy and build happen in the same room. No handoff from advisory to implementation, no model recommendations that fail on contact with your underwriting platform or your model-risk committee.
Responsible AI, regulator-ready.
Explainability is a product requirement, not a deck slide. Every score has a rationale, every decision has a chain back to policy, and every model has the documentation a regulator expects to see on day one.
Partnerships measured in years, not POCs.
Our average insurance relationship runs to five years. We align our incentives with the loss ratio — not with scoping the next phase of a programme the business does not need.
Proven in Complex
Environments
Regulated industries. Long-term partnerships.
Results that appear in annual reports.
Real-time warehouse intelligence across 12 automated sites.
"NewCold operates some of the world's most advanced automated cold-storage facilities. We built a real-time data platform integrating 40+ operational systems — giving their teams a single, accurate picture of everything moving through their network."
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Our Clients
"Qubiz is a valuable IT partner, helping us solve all of our technical issues and challenges on all aspects."
Jeroen Klep, Product Manager Data & Analytics @ NEWCOLD
READ CUSTOMER STORY"Working with Qubiz felt like having a senior engineering team embedded in our own company from day one."
Remco Kuliman, Founder and Director @ AVICLAIM
READ CUSTOMER STORY"They understood our regulatory environment immediately. That defined everything for us."
Rhush Maugi, Co-founder @ FIGURA ANALYTICS
READ CUSTOMER STORY"Qubiz is a valuable IT partner, helping us solve all of our technical issues and challenges on all aspects."
Jeroen Klep, Product Manager Data & Analytics @ NEWCOLD
READ CUSTOMER STORY"Working with Qubiz felt like having a senior engineering team embedded in our own company from day one."
Remco Kuliman, Founder and Director @ AVICLAIM
READ CUSTOMER STORY"They understood our regulatory environment immediately. That defined everything for us."
Rhush Maugi, Co-founder @ FIGURA ANALYTICS
READ CUSTOMER STORY"Qubiz is a valuable IT partner, helping us solve all of our technical issues and challenges on all aspects."
Jeroen Klep, Product Manager Data & Analytics @ NEWCOLD
READ CUSTOMER STORY"Working with Qubiz felt like having a senior engineering team embedded in our own company from day one."
Remco Kuliman, Founder and Director @ AVICLAIM
READ CUSTOMER STORY"They understood our regulatory environment immediately. That defined everything for us."
Rhush Maugi, Co-founder @ FIGURA ANALYTICS
READ CUSTOMER STORYTalk to our experts
Speak with someone who has sat across from an underwriter.
Every insurance engagement starts with the underwriting workflow, the actuarial hypothesis, and the model-risk framework — not the technology stack. No discovery decks, just an honest conversation.
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