Multi-insurer quoting
A single input, five simultaneous quotes.
orbit catalog
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Homologation
Vehicle catalog homologation with 95% accuracy. Automatic.
orbit catalog homologates vehicle catalogs across every insurer in the market. In milliseconds, via API.
orbit catalog
homologation · auto
01 · Context
The problem we are solving.
Every insurer has their own vehicle catalog. When you quote with several, someone has to manually map "Toyota Corolla XEi 2.0 2023" across five different taxonomies. It's slow, error-prone, and blocks digital quoting. orbit catalog resolves that match with AI in milliseconds.
02 · What it is
orbit catalog in one sentence
An equivalence engine across vehicle catalogs that receives a vehicle as a description, plate, or partial VIN and returns the exact match in every insurer with a confidence score.
03 · How it works
Four steps. No magic.
Not a magic button. A clear, governed and auditable process that connects with what you already have.
01
Receives the vehicle
Free text, plate, partial VIN or spec sheet. It accepts whatever the client gives you.
02
Normalizes attributes
Make, model, trim, year, engine, transmission. It cleans up typos and abbreviations.
03
Cross-references catalogs
Embeddings + rules to find the equivalent in every insurer in the market.
04
Returns the match
JSON with each insurer's code and a confidence score per match.
Functional flow · orbit catalog live
04 · What it does
Real use cases in production.
We do not sell a horizon of possibilities. These are processes already running with orbit catalog today across clients in production.
Digital brokers
Quotes in seconds with no operator behind the form.
Vehicle change endorsement
Instant match in the current insurer's catalog.
Score-based pricing
Clean vehicle data for actuarial models.
Portfolio migration
Bulk re-mapping when switching provider or core system.
Embedded insurance
Frictionless quoting in the dealership checkout.
05 · Benefits
What changes when you have it.
We do not promise transformation. We promise measurable differences from month one.
Request demo1
Complete coverage
Live catalogs from LATAM's leading insurers, updated weekly.
2
Matches even with typos
Tolerates typing errors, abbreviations and free-form client descriptions.
3
A score for every match
Returns confidence. You decide what goes straight through and what the client confirms.
4
Production-grade latency
Average match in under 200 ms per insurer.
5
No manual maintenance
Automatic updates whenever the source catalogs change.
06 · Industries
For sectors where errors are expensive.
Designed and tested in seguros · banca. Sectors where traceability and precision are non-negotiable.
01 / Insurance
Multi-insurer quoting
Digital brokers and comparison portals quote in seconds with no human operator.
02 / Banking
Auto lending
Vehicle valuation and insurance built into the credit origination flow.
03 / Embedded
Dealerships and marketplaces
Embedded quoting at checkout without asking the client for extra data.
07 · Applications
Concrete ways to apply it.
Application · 01
Digital comparison site
A marketplace quotes with 7 insurers from a single form in under 8 seconds.
APPLICATIONApplication · 02
Embedded at the dealership
The client buys a car and gets covered without typing make/model, pulled from the VIN.
APPLICATIONApplication · 03
Bulk migration
An insurer migrated 110K policies to a new core system with automatic re-mapping.
APPLICATIONApplication · 04
Multi-insurer quoting
A single input, five simultaneous quotes.
USE CASEApplication · 05
Digital brokers
Quotes in seconds with no operator behind the form.
USE CASEApplication · 06
Vehicle change endorsement
Instant match in the current insurer's catalog.
USE CASE08 · Before and after
What changes, side by side.
An honest comparison between how your team operates today and with orbit catalog.
Before / Without orbit catalog
Today's day-to-day
- ✕ Operators mapping vehicles by hand
- ✕ Digital quoting with a human fallback
- ✕ Catalog errors discovered at claim time
- ✕ Manually maintained, outdated catalogs
- ✕ Embedded insurance impossible due to friction
After / With orbit catalog
The day-to-day with AI
- ✓ Match in milliseconds, no operator
- ✓ 100% digital quoting, end to end
- ✓ A score per match, validated before binding
- ✓ Live catalogs updated automatically
- ✓ Embedded quoting in any checkout
09 · Metrics
The numbers that matter.
Metrics measured in production with real clients. Averages, not "special cases".
95%
Match accuracy on real vehicles
180ms
Average latency per insurer
12+
Insurers with live catalogs
8M
Equivalences processed / month
10 · Case studies
Clients already running orbit catalog.
Quotes from 7 insurers in 8 seconds
A digital marketplace removed the operator from its auto quoting flow.
8s
Full quote
+184%
Conversion
Embedded in the auto loan flow
The client quotes and gets covered inside the same car purchase flow.
+62%
Attach rate
0
Extra fields
110K policies re-mapped in 2 weeks
Migration to a new core system with no data-entry team.
110K
Policies migrated
2sem
Total time
11 · Impact · No brainer
Quoting with 7 insurers should take 8 seconds.
And now it does. No operators, no manual mapping, no intermediate Excel sheets. Your client quotes, you sell.
Run the discovery with rocky95%
Match accuracy
180 ms
Latency per insurer
12+
Insurers connected
8 M
Matches per month
12 · Security and compliance
Built for regulated sectors.
If your industry does not forgive errors or leaks, this is the floor, not the ceiling.
Encryption
In transit and at rest
TLS 1.2+ and storage encryption across all environments.
API
OAuth 2.0 + mTLS
Authenticated and encrypted transport.
Rate
Per-client quotas
Protection against abuse and degradation.
SLA
99.95%
Availability and latency guarantee.
13 · Contact
Let us get orbit catalog running in your company.
30-minute demo with your real data. If it fits, we define a measurable pilot. If not, we tell you which orbit product does fit.