Use cases
Inventory
Find every tool, owner, seat, and cost.
Savings
Catch waste, overlap, and renewals early.
Access
Onboard and offboard across your stack.
Context
Map how people, tools, spend, and agents connect.
For
Founders
Protect runway by seeing every tool and cost.
Engineering
Control AI usage, access, and provider spend.
Finance
Reconcile software spend and find waste.
Operations
Keep inventory, access, and renewals current.
Resources & company
Resources
Guides and practical software insights.
Manifesto
Why software operations need a new model.
Press
Company news and media resources.
Partners
Build and grow with ELI.
IntegrationsStacksTools
Talk to a humanDiscover my stack
IntegrationsStacksTools
Discover my stackTalk to a human

Company

  • Home
  • Manifesto
  • Talk to us
  • Partners

Help

  • Terms of service
  • Privacy policy
  • Docs

Product

  • Inventory
  • Savings
  • Access
  • Context

For teams

  • Founders
  • Engineering
  • Finance
  • Operations

Explore

  • Integrations
  • Tools
  • Stacks
  • Startup credits
  • Articles

Socials

  • LinkedIn
  • Instagram
  • TikTok
  • YouTube
Enterprise Layer Intelligence
Categories/General Productivity Software/Arbol
Arbol

Arbol

Founded 2019

Protect businesses against weather volatility and climate disruptions using automated parametric insurance

You can use Arbol to protect your business against weather volatility and climate disruptions through parametric insurance coverage. Instead of waiting months for adjusters to evaluate physical property damage, the service tracks verified climate data from institutions like NOAA and NASA to trigger payouts automatically within two weeks. You can customize coverage for agricultural crops, energy supply shifts, and wildfire damage. Risk analysts and brokers can also calculate pricing models, assess regional weather histories, and purchase tailored financial protection against extreme events.

What Arbol does

Track regional weather data to trigger claim payoutsModel financial risk from drought, rain, and temperature shiftsUnderwrite parametric climate policies using machine learningSubmit parametric insurance applications for corporate coverageVerify climate events using NASA and NOAA satellite feedsCalculate coverage pricing based on historical weather metricsVerifies claims using objective climate data from NOAA and NASAIssues payouts automatically in as little as two weeksCovers agriculture, energy, and wildfire weather risksUnderwrites policies with machine learning pricing modelsOffers parametric protection without requiring on-site claim adjustersTracks regional climate trends with historical data models

Frequently asked

Want a tailored answer?

See whether Arbol fits your stack.

Techbible weighs Arbol against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Side by side

Compare Arbol

Search the catalog or pick a similar tool to compare pricing, features, and fit.

Or pick from similar tools

More in General Productivity Software

All tools →
Calendly

Calendly

Schedule meetings automatically and collect payments without back-and-forth emails

Shortwave

Shortwave

Organize your inbox, write replies, and schedule events using conversational prompts

Cal.com

Cal.com

Schedule meetings and appointments without the back-and-forth emails

Caspian

Caspian

Triage messages and manage your schedule across email and chat on macOS

Luma

Luma

Create event pages, sell tickets, manage attendee lists, and discover local gatherings

Typeform

Typeform

Build interactive forms, surveys, and quizzes to collect responses and feedback

Vimcal

Vimcal

Manage multiple calendars, share available meeting slots, and schedule appointments across global time zones

Weglot

Weglot

Translate your entire website into multiple languages with automatic detection and human editing

Arbol, parametric insurance, climate risk, weather risk, agricultural insurance, wildfire insurance, energy derivatives, climate data, risk assessment, underwriting, catastrophe risk, NOAA data