Enterprise data intelligence
AI-ready market intelligence for decisions that cannot wait for manual research.
DAISORO builds hard-to-obtain, evidence-backed datasets for enterprise AI and commercial decision systems — starting with UAE vehicle and motor-insurance intelligence.
Evidence-backed records
AI-ready schemas
Cloud delivery
Fragmented signals become inspectable records.
Dealer
Brochure
Listing
Policy
Safety
vh_84f3c2a9
ev_2026_0418
files / scoped api / cloud
Why now
AI decisions are limited by the data they can trust.
Enterprise models and agents only become useful when market data is structured, current, and tied to durable evidence references.
Models are available; usable market data is not.
Vehicle and insurance signals are fragmented across sources.
Underwriting, pricing, claims, and product teams need traceable facts.
Enterprise AI needs structured records, not screenshots and spreadsheets.
What DAISORO builds
From fragmented market signals to AI-ready datasets.
The missing data layer for enterprise AI decisions: market observations converted into structured, versioned, deliverable data products.
Market signal
Structured record
Evidence reference
Version history
Enterprise delivery
Insurance wedge
Starting with vehicle and insurance intelligence.
Motor insurance is our first commercial wedge because underwriting, pricing, product, claims, distribution, and AI teams need vehicle facts and market signals that are traceable, current, and machine-ready.
UAE Vehicle Evidence Layer
Trim-level vehicle identity, ADAS/safety by trim, EV/battery and powertrain signals, GCC-vs-import confidence, and source evidence.
View datasetUnderwriting Intelligence
Risk-relevant vehicle features, valuation and depreciation context, RepairCheck context, and structured evidence for underwriting and pricing support.
View datasetInsurance Market Intelligence
Multi-carrier quote matrices, coverage and exclusions ontology, aggregator-vs-carrier spread, and quote/coverage/channel intelligence.
View datasetDataset catalogue
A structured catalogue of enterprise data products.
Search and filter by industry, use case, dataset family, status, buyer role, and evidence type.
Record anatomy
Every useful AI workflow starts with records it can inspect.
DAISORO records expose vehicle identity, source, channel, pricing, eligibility, version, evidence, and QA state so underwriting, pricing, claims, product, distribution, and data/AI workflows can reason over the data surface.
Fields an AI workflow can inspect.
Solutions
Built for enterprise decision workflows.
DAISORO organizes datasets around recurring decision systems rather than one-off research tasks.
Delivery models
Delivered into the workflows your teams already use.
Start with sample structures, then scope repeatable delivery into analytics, data platform, or AI-agent workflows.
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.
Motion explainer
See how fragmented signals become structured data products.
A controlled product-motion surface shows the record lifecycle from public signal capture through schema normalization, evidence references, version state, and delivery.
Fragmented signals to structured records
Signal capture, schema normalization, evidence references, version history, and delivery in one product loop.
Transcript
DAISORO captures public market signals, structures them into stable records, attaches evidence references and version history, and delivers them as files, scoped API integrations, or cloud pushes.
Next step