United Kingdom
Carriers, Lloyd’s and London Market, MGAs under delegated authority.
We scope against
- PRA SS1/23 model risk
- FCA Consumer Duty
- UK GDPR
Insurance file processing in minutes.
Explainable AI for risk scoring, submission processing and board reporting.
- ~5 min processing time
- Explainable by design
- UK, US, Middle East & Asia
Built for
- Insurance carriers
- MGAs
- Reinsurers
- Underwriters
Markets
One platform. Four distinct markets.
Each region has its own regulators, distribution models and data rules. We scope every pilot against the requirements that matter in your market.
United States
Carriers, MGAs and program business across commercial and specialty lines.
We scope against
- NAIC AI model bulletin
- State rate and form filings
- State privacy laws
Middle East
GCC carriers, takaful operators and regional reinsurers.
We scope against
- Local data residency
- CBUAE and Saudi IA expectations
- Bilingual documentation
Asia
Carriers, MGAs and reinsurers across APAC hubs including Singapore and Hong Kong.
We scope against
- MAS FEAT principles
- PDPA and local privacy rules
- Outsourcing and cloud guidelines
Listed topics are reviewed with your compliance and technology teams during scoping; they are not statements of regulatory approval.
The problem
Insurance still runs on manual work and stale reports.
Manual underwriting
Underwriting relies on manual review, incomplete data, and subjective judgment. A single commercial policy can take days, and inaccurate risk pricing erodes combined ratios.
Fragmented operations
Policy administration, reinsurance, and compliance sit in disconnected systems, creating data silos, audit gaps, and slow customer service.
Executive blind spots
Boards and C-suites receive static reports days after events occur. Strategic decisions are made on stale, incomplete intelligence they cannot interrogate.
The platform
From risk decision to boardroom.
Start with a focused use case. Use RiskEngine on its own or within InsurEdge, and connect your chosen products across the insurance value chain.
Example: submission to underwriter review
Illustrative flow; exact stages depend on your products and workflow.
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01
Submission received
Bring together an application and its supporting documents.
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02
Details extracted
Prepare submission information for review and risk assessment.
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03
Risk assessed
RiskEngine provides an explainable risk and pricing recommendation.
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04
Underwriter reviews
The underwriter reviews the recommendation and decides next steps.
Submissions & documents
Core policy systems
CRM & ERP
RiskEngine
InsurEdge moduleML models that score risk and recommend pricing, available within InsurEdge or as a standalone module.
Explore RiskEngine
InsurEdge
One AI workspace for intake, underwriting and policy workflows around your existing core systems.
Explore InsurEdge
ExecBrief
Live dashboards, forecasts, and AI briefings for boards and C-suites.
Explore ExecBrief
Shared foundation
- Explainable AI
- Audit trails
- Role-based access
- REST & webhook APIs
RiskEnginePart of the InsurEdge workbench; also available separately
A more consistent view of every risk.
Insurance-focused machine learning for risk assessment and pricing, with the reasoning behind every recommendation.
For Underwriting teams, pricing and actuarial leads
~5 minPer file (about 303 seconds), internal measurement
Request a RiskEngine demo- Automated risk scoringScore submissions consistently using insurance-specific models and your underwriting guidelines.
- Pricing recommendationsData-backed pricing guidance that underwriters can review, adjust, and approve.
- Explainable decisionsEvery score comes with a human-readable explanation for underwriter oversight and regulatory review.
- Anomaly and fraud signalsFlag unusual submissions early with real-time anomaly detection.
InsurEdgeUnderwriting workspace
Underwriting workflows in one workspace.
Submission intake, underwriting and policy workflows in one place, working alongside your existing core systems.
For Underwriting operations, policy administration, compliance
4 to 5 minPer file, internal measurement
Request an InsurEdge demo- Document ingestionExtract and validate data from submissions and supporting documents automatically.
- Policy workflow supportSupport for issuance, endorsements, renewals and cancellations, scoped around your existing administration system.
- Customer 360 onboardingDigital KYC, document validation, risk profiling, and agent and broker portals.
- Configurable workflow controlsConfigure workflow rules and capture audit information around your operating requirements.
ExecBriefExecutive intelligence
Board-ready intelligence, live.
Executive views, forecasts and AI briefings that sit alongside your existing BI and finance reporting.
For Boards, C-suites, finance and strategy teams
Pilot KPIBoard-pack preparation time against your current cycle
Request an ExecBrief demo- Role-based dashboardsKPI views tailored to each executive's priorities across every business unit.
- Automated board reportsGenerate board-ready presentations and regulatory reports directly from live data.
- Predictive forecastingProject revenue, loss ratios, and growth with scenario analysis and confidence intervals.
- Interactive drill-downsInterrogate any metric down to the transaction level without waiting for an analyst.
Measurable value
Every claim measured against your baseline.
Processing time, accuracy and cost are measured during the pilot against your current process, using agreed definitions rather than vendor estimates. Each pilot closes with a scorecard your finance, underwriting and risk owners can sign off.
~303 sRiskEngine processing time per file
4 to 5 minInsurEdge processing time per file
InternalMeasured on Hyperion's own runs; times vary with file size, complexity and integrations
Scroll to view the full table
| Product | What we measure | How it is measured | P&L line |
|---|---|---|---|
| RiskEngine | Time to quote | Submission received to priced recommendation, per case | Premium growth, expense ratio |
| Risk-model accuracy | Discrimination (Gini/AUC) and calibration on hold-out and live business; underwriter override rate | Loss ratio | |
| Fraud and anomaly precision | Share of flagged cases confirmed on review; missed cases found later | Loss ratio | |
| InsurEdge | Processing time per submission | Intake to underwriting-ready, from workflow timestamps | Expense ratio |
| Extraction accuracy | Field-level accuracy versus underwriter-validated values | Expense ratio, data quality | |
| Straight-through and rework rate | Cases needing no manual touch; cases returned for missing or incorrect data | Expense ratio, capacity | |
| ExecBrief | Reporting cycle time | Hours to produce a board or management pack, before and after | Expense ratio |
| Forecast accuracy | Forecast error (MAPE) against actuals for premium and loss ratio | Planning, capital allocation |
Processing times are Hyperion internal measurements. Accuracy, cost and P&L figures come only from pilots measured against your baseline.
Loss ratio
More consistent risk selection, pricing adequacy by segment and earlier fraud signals reduce claims cost per pound, dollar or dirham of premium written.
Expense ratio
Less manual keying, rework and report assembly lowers acquisition and administration cost per policy.
Premium growth
Faster, more consistent quotes improve broker responsiveness and let the same underwriting team handle more submissions.
Capital and governance
Explainable decisions, audit trails and timely forecasts support model-risk oversight, regulatory review and earlier capital decisions.
Operational gains
- Faster submission-to-quote
- Lower handling cost per policy
- More capacity, same team
- Fewer data errors and rework
- Earlier fraud signals
Strategic advantage
- Consistent decisions across teams
- Explainable decisions for regulators
- Faster broker responses
- Underwriters focused on judgement
- One view of performance for the board
Compounding value
- Models improve as outcomes accumulate
- New lines reuse the same platform
- Data becomes a pricing asset
- Governance ready before scrutiny
- Gains compound across renewals
Estimate the P&L impact for your book
Enter your own figures and assumptions. This is illustrative, not a forecast or guarantee; released-hour value represents capacity, not guaranteed cash savings.
- Claims cost impact (assumption)
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- Value of released hours
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- Underwriter hours released
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- Illustrative annual impact
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Send me this estimate with a walkthrough
Claims impact = annual GWP × assumed loss-ratio improvement (points ÷ 100). Released-hour value = annual submissions × minutes × assumed reduction (%) ÷ 100 ÷ 60 × hourly cost. It is not a guaranteed cash saving; excludes implementation fees, premium growth and capital effects.
How we work
Pilot first. Prove value. Then scale.
Start with one workflow. Agree the baseline, success measures, data handling and decision owners before any pilot begins.
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01
Scope
Select a workflow, such as submission triage, risk scoring or board reporting. Document the current process and agree measurable acceptance criteria.
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02
Pilot
Confirm jurisdiction, data access, integration boundaries and review controls. Then evaluate the scoped use case with your team.
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03
Scale
Review results against the agreed criteria. Decide whether to stop, refine the use case or plan a wider deployment.
Security & governance
Governance starts with your use case.
Every deployment is reviewed against your product, jurisdiction and operating model, with your risk, compliance and technology teams involved from day one.
Model oversight
Agree how recommendations are reviewed, challenged and documented by your underwriting and governance teams.
Data handling
Review data categories, access, retention, transfer and hosting requirements before sharing operational or policyholder data.
Integration boundaries
Document which core, policy, CRM and reporting systems are in scope, and which remain systems of record.
Market requirements
Map relevant local obligations and control evidence with your compliance, legal and technology teams for the intended deployment.
Request the security & governance pack
Architecture and data-flow overview, hosting and data-handling options, model documentation approach and the current control evidence available for your review.
Does InsurEdge replace our core policy system?
Not by default. InsurEdge supports intake, underwriting and policy workflows. Systems, responsibilities and integration boundaries are agreed during discovery; a core-system replacement is not assumed.
How does a pilot work?
We scope one workflow, document the current process and agree measurable acceptance criteria. Jurisdiction, data handling, system access and review controls are confirmed before evaluation. Any decision to expand is based on results against the agreed criteria.
Which markets do you support?
Hyperion.ai is focused on insurance teams in the UK, US, Middle East and Asia. We scope jurisdiction, local workflows, hosting and control requirements with each organisation; deployment suitability is confirmed for the specific use case.
Can we start with one product or module?
Yes. RiskEngine is part of the InsurEdge workbench and can also be evaluated on its own as a standalone module. You can start with one product or module against a focused use case. Connections to other products and systems are scoped around your requirements.
Where is customer data hosted?
Hosting and data-residency requirements depend on the deployment and jurisdiction. We confirm available options and review the requirements with your team before a pilot; contact us for current deployment details.
Can underwriters review AI recommendations?
RiskEngine is designed to provide explainable risk and pricing recommendations for underwriter review. The appropriate human review, controls and audit requirements are scoped for the intended use.
Does ExecBrief replace our BI tools?
ExecBrief is positioned to complement existing reporting and BI: it focuses on executive views, forecasts and briefings. Data sources and integration boundaries are agreed during discovery.
What security certifications do you hold?
We don’t publish certification claims on this website. Request our security & governance pack for the current control evidence, hosting options and data-handling details available for your evaluation.
Company
World-class AI, built for insurance.
Hyperion.ai combines insurance domain expertise with machine learning to support insurers operating in the UK, US, Middle East and Asia. The operating entity is Sumyati Astro Tech LLP.
Seema
Founder & CEO
LinkedIn (opens in a new tab)
We welcome conversations with insurance teams.
Contact
Discuss your insurance workflows.
Tell us what interests you, from product demos and pilots to security details or a P&L walkthrough. We’ll follow up to discuss your requirements.