Alternative Risk Transfer and parametric risk
Alternative Risk Transfer, priced with evidence.
Structure non-standard risk transfer with model evidence, underwriter-led workflow, and a transaction record that stays intact from first brief to settlement.
AkshiSim
Model evidence for NatCat, weather, and index-based work.
Sutra Re
ART program design for captive, stop-loss, quota share, aggregate, and multi-year terms.
Deal record
Pricing basis, assumptions, documentation, monitoring, and settlement kept together.
What we cover
Where Akshi is applied.
Akshi supports ART and parametric programs where structure, pricing basis, and evidence need to be clear enough for placement, governance, and settlement.
Captives & self-insured programs
Retention pricing, layer design, and multi-year program management for owners seeking an alternative to a hardening market. Driven by your loss history, priced on one transparent engine.
ART practice · loss-run credibility blending
Property catastrophe
Parametric hurricane and earthquake covers that pay on measured events. Structures are built on validated catalogs, with model limitations disclosed up front.
Vatya and Kampa catalogs · regional credibility factors
Energy & weather markets
Temperature, demand, and generation exposure priced from station history or your own operational data. Degree-day structures, index covers, and season-accurate settlement.
Weather engine · custom index construction
Agriculture & food
Rainfall deficit and excess, frost and heat windows, and yield-linked indices designed from public station records or the data your operation already keeps.
Index practice · crop-calendar structuring
Other exposures
Exposures outside these markets are considered case by case. Send the details and you will receive a clear view on whether a parametric or ART solution is appropriate, including when it is not.
Contact the desk →Evidence and governance
A transaction file that can be reviewed.
Akshi keeps the structure, data, pricing basis, selected adjustments, and model caveats attached to the deal record. The aim is simple: a reviewer should understand what was priced, why it was priced that way, and what remains uncertain.
Structure
Trigger, attachment, payout, term, renewal mechanics, and settlement source.
Pricing basis
Historical burn, simulated view, fitted assumptions, and named adjustments.
Review record
Model basis, credibility flags, override reasons, caveats, and version history.
The platform under the desk
Specialist modules, one underwriting record.
Hurricane, earthquake, weather, custom index, Sutra Re, and portfolio operations each have dedicated workflows. Pricing evidence, documentation, monitoring, and settlement remain connected to the same deal record.
Track intelligence, trigger design, and wind pricing
- IBTrACS historical tracks with AkshiSim catalog evidence
- Circle, ring, polygon, and track-gate trigger designs
- Wind speed, Saffir-Simpson category, pressure, and crossing-intensity views
- Credibility adjustments where catalog limitations are known
- OEP/AEP curves, sensitivity runs, technical price, and quote workflow
Vatya Wind Pricing
A live hurricane resolved into a parametric footprint — trigger rings, wind-speed history, and category bands, ready to structure and price.
The desk's method
From brief to settlement.
An exposure, a loss run, or a structure under review.
Candidate designs with basis risk assessed at the design stage.
Model output, calibration, credibility, and uncertainty shown as named inputs.
A termsheet and submission file prepared from the same record.
Monitoring, settlement, and renewal repricing tied to stored terms.
How it works
Use Akshi as a desk, a co-underwriting partner, or a platform.
Desk-run
Our desk structures it.
For brokers, MGAs, and corporates with a risk to structure, price, or place
Bring an exposure, loss history, or draft term. Akshi returns structure options, indicative pricing, model evidence, and a submission-ready file.
Co-run
Underwrite alongside us.
For underwriting teams adding a new class
Your underwriters lead. Akshi supports structure review, pricing evidence, documentation, and operating procedures for the first programs.
Self-run
Run the platform.
For established parametric and ART desks
Use the pricing studios, Sutra Re, deal workflow, portfolio views, and evidence records directly within your team.
For capacity providers
Standardized submissions carry the model basis, selected adjustments, uncertainty ranges, and the same pricing record used to prepare the indication.
Examples
From brief to a documented decision.
These examples show how a brief becomes a structure, a pricing view, and a documented underwriting decision.
All examples are illustrative. No real client data, testimonials, or achieved outcomes are represented.
Gulf Coast wind · $6M limit
IllustrativeProblem
A coastal hotel group with $40M of Gulf exposure needs cash within days of a hurricane — for payroll and repairs, before a loss adjuster ever arrives. They want a public, indisputable trigger, not a negotiated economic-loss figure.
Structure
150 km cat-in-a-circle around Biloxi, MS paying $2M at Cat 3, $4M at Cat 4, and $6M at Cat 5. The same risk is re-cut as a ring and a track-gate to compare basis risk before quoting.
Evidence
163 years of IBTrACS tracks beside a 1,000-year AkshiSim catalog put the Cat 3+ trigger near a 6.8% annual probability, with OEP 1-in-50 at $4.8M and a credibility flag on the Gulf zone.
Decision
Model EL $0.31M, a 1.8× technical loading, and review checks — all versioned to the deal — before bind. Illustrative only.
About Akshi
A practical system for non-standard risk transfer.
Akshi is built for teams working on Alternative Risk Transfer and parametric programs where the structure, assumptions, pricing evidence, and review record need to stay connected.
AkshiSim is Akshi's proprietary modeling layer. It provides model evidence for NatCat, weather, and index-based work, and can be reviewed alongside client data, public sources, and external model views.
Sutra Re supports ART program design, including quota share, stop-loss, captive layers, aggregate covers, and multi-year terms. AI helps prepare analysis, check terms, organize evidence, and draft review language; underwriting decisions remain with the user.
Start with one risk.
Send an exposure, a loss run, or a structure under review. You will receive structure options, indicative pricing, and the evidence behind them.