Daisoro intelligence catalogue
A structured corpus of hard-to-obtain commercial intelligence.
Daisoro organizes fragmented vehicle, insurance, pricing, quote, coverage, product, channel, and market-change signals into reusable intelligence products for enterprise decision workflows.
Signals become reusable dataset products.
Vehicle
Insurance
Pricing
Coverage
Channel
AI-ready
71 records
22 records
F3.0-F3.6
Start by industry or data need
Vehicle and motor insurance is active by default.
The catalogue keeps wider DAISORO roadmap families visible, while the commercial buyer path starts with UAE vehicle and motor-insurance intelligence.
Vehicle & Motor Insurance
Default view for the current public commercial wedge: vehicle evidence, underwriting, quote, coverage, comparison, channel, and value modules.
Open viewVIN, Trim, ADAS, EV/Battery
Start from exact vehicle identity, risk-relevant feature enrichment, GCC-vs-import confidence, and evidence-backed records.
Open viewQuote, Coverage, Channel
Explore design-partner scoping modules for quotes, coverage/exclusions, comparison views, and aggregator-vs-carrier spread.
Open viewBroader intelligence families
Telecom, retail/e-commerce, automotive, and broader financial-services datasets remain visible without leading the commercial wedge.
Open viewFeatured corpus
Vehicle and motor-insurance intelligence.
F3.0-F3.6 connect vehicle evidence, underwriting, quote, coverage, comparison, channel, and value layers into a buyer-friendly vehicle and insurance catalogue.
Corpus depth metrics
Evidence-backed depth, with scope boundaries visible.
These public proof points describe the vehicle intelligence corpus and decode infrastructure. They do not claim full UAE market completeness, complete quote coverage, or production public API readiness.
200+
manufacturers
Coverage references for decode scoping across global vehicle brands.
13
world regions
Regional logic for source-market, import, and trim differences.
15M+
real VINs
Decoded, tested, and proven against real vehicle identifiers.
17
VIN positions
Parsed and checksum-validated before enrichment workflows begin.
446
source-traced fields
Per UAE trim where scoped and available, with evidence and QA state.
24
feature groups
Vehicle identity, trim, ADAS, EV/battery, powertrain, value, and evidence domains.
Data domain explorer
Reusable domains for underwriting, pricing, claims, product, distribution, and AI.
Vehicle Evidence
VIN, trim, model-year, source-region, powertrain, ADAS, EV/battery, and record-level evidence.
Underwriting
Risk-relevant feature layers for underwriting, pricing, claims, product, and data/AI workflows.
Quote Market
Quote matrices scoped by carrier, channel, persona, vehicle, coverage, premium, deductible, and evidence.
Coverage & Product
Coverage, exclusions, add-ons, deductibles, sub-limits, and product wording normalized into machine-readable fields.
Distribution
Aggregator, broker, and carrier-direct journey signals for channel spread and comparison workflows.
Evidence & Delivery
Source URLs, archives, timestamps, QA state, version hashes, and scoped files/cloud/API integration paths.
Buyer use cases
Find the demand path behind the dataset family.
Use-case pages translate the F3 vehicle and motor-insurance catalogue into high-intent buyer problems: VIN decode, exact-trim evidence, ADAS/EV risk features, quote intelligence, coverage comparison, and channel spread.
VIN decode for motor insurance
real VINs decoded, tested, proven / manufacturers
Exact-trim vehicle intelligence
vehicle identity spine / source-traced fields per UAE trim
ADAS, EV & repair-risk intelligence
source-traced fields per UAE trim / feature groups
Motor-insurance quote intelligence
carrier-direct journeys / aggregator journeys
Coverage & exclusions intelligence
included cover fields / structured exclusion terms
Aggregator vs carrier spread intelligence
channel pricing / offer availability
Dataset product families F3.0-F3.6
Vehicle evidence first, market-intelligence modules behind it.
The catalogue groups vehicle evidence, underwriting, quote, coverage, comparison, channel, and value modules so buyers can quickly find the right sample or scoping conversation.
Vehicle Evidence Layer
Source-backed UAE vehicle intelligence for motor insurance: trim identity, ADAS/safety by trim, EV/battery and powertrain signals, GCC-vs-import confidence, and evidence records for every client-facing fact.
Multi-Carrier Quote Matrix
Observable motor-insurance quote intelligence structured by carrier, channel, persona, vehicle, coverage level, premium, deductible, add-ons, quote outcome, and evidence.
Coverage & Exclusions Ontology
Structured coverage, exclusions, sub-limits, deductibles, add-ons, policy wording evidence, and plain-English term normalization across motor products.
Insurance Comparison Engine
Comparison layer designed to turn quote, coverage, vehicle, and evidence records into value rankings, coverage gaps, segment positioning, and executive-ready market views.
Aggregator vs Carrier Spread Index
Carrier-direct, aggregator, broker, and channel-specific spread monitoring across premiums, discounts, availability, coverage differences, quote journey friction, and evidence.
Underwriting Intelligence
Risk-relevant vehicle feature layer for motor insurance: trim-level safety/ADAS, EV/battery and powertrain signals, source-region confidence, vehicle value/depreciation context, RepairCheck context, and evidence trails.
Vehicle Value & Depreciation Layer
Source-backed vehicle value and depreciation context designed to support pricing, claims, product, and portfolio analysis without treating listings as transaction-price truth.
Evidence and delivery layer
Source-backed records that can move into enterprise workflows.
Daisoro dataset discussions scope evidence depth, QA state, delivery model, market boundaries, refresh expectations, and data/AI workflow needs before any coverage or cadence promise is made.
Proof fields travel with the record.
Records are designed to preserve the source, capture state, and QA context needed for downstream review.
CSV / Parquet / JSON
Batch files for analytics, modelling, and internal data platforms.
Scoped API integration
Structured-record integration paths scoped before delivery for AI agents and application workflows.
S3 / GCS / Azure Blob
Cloud push into the storage layer your teams already use.
Searchable catalogue
Filter the full catalogue below.
The default filter prioritizes Financial Services & Insurance / Vehicle & Motor Insurance while keeping telecom, retail/e-commerce, automotive, and broader financial-services roadmap families visible.
Vehicle and motor-insurance priorities
Primary vehicle and motor-insurance datasets for qualified sample and scope discussions.
Structured dataset surfaces
Dataset surfaces organized around the same evidence-backed record pattern.
Additional scoped data products
Structured areas presented for qualified scoping conversations.
Exploratory concepts (7)
Exploratory concepts are shown for wider context and are not positioned as immediately available datasets.
Request sample output
Start with a vehicle sample, VIN benchmark, or scoped market-intelligence module.
Bring a vehicle list, insurance workflow, quote-market question, or hard-to-obtain data need. Daisoro will scope the evidence, output, and delivery path.